{"id":932,"date":"2025-05-08T06:39:37","date_gmt":"2025-05-08T06:39:37","guid":{"rendered":"https:\/\/ieee-icde.org\/2025\/?page_id=932"},"modified":"2025-05-13T11:44:02","modified_gmt":"2025-05-13T11:44:02","slug":"research-papers","status":"publish","type":"page","link":"https:\/\/ieee-icde.org\/2025\/research-papers\/","title":{"rendered":"Research Papers"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"932\" class=\"elementor elementor-932\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4a22cf5 e-flex e-con-boxed e-con e-parent\" data-id=\"4a22cf5\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-645e9ed e-con-full e-flex e-con e-child\" data-id=\"645e9ed\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t<div class=\"elementor-element 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menu-item-object-custom menu-item-has-children menu-item-149\"><a class=\"elementor-item\">General Information<\/a>\n<ul class=\"sub-menu elementor-nav-menu--dropdown\">\n\t<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-87\"><a href=\"\/2025\/about\" class=\"elementor-sub-item\">Conference Overview<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-88\"><a href=\"\/2025\/committees\" class=\"elementor-sub-item\">Organization Committees<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-320\"><a href=\"https:\/\/ieee-icde.org\/2025\/program-committees\/\" class=\"elementor-sub-item\">Program Committees<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-364\"><a href=\"https:\/\/ieee-icde.org\/2025\/green-conference\/\" class=\"elementor-sub-item\">Green ICDE 2025<\/a><\/li>\n<\/ul>\n<\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-259\"><a class=\"elementor-item\">Conference Program<\/a>\n<ul class=\"sub-menu elementor-nav-menu--dropdown\">\n\t<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-900\"><a href=\"https:\/\/whova.com\/embedded\/event\/GxBPjMXSpG6%40RYnJLtjLoi%408UIH2yamSsFfRNbhWIv8%3D\/?utc_source=ems\" class=\"elementor-sub-item\">Full Program<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-881\"><a href=\"https:\/\/ieee-icde.org\/2025\/the-detailed-programme\/\" class=\"elementor-sub-item\">The Detailed Programme<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-704\"><a href=\"https:\/\/ieee-icde.org\/2025\/keynotes\/\" class=\"elementor-sub-item\">Keynotes<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-941\"><a href=\"https:\/\/ieee-icde.org\/2025\/research-papers\/\" class=\"elementor-sub-item\">Research Papers<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-957\"><a href=\"https:\/\/ieee-icde.org\/2025\/industry-and-application-papers\/\" class=\"elementor-sub-item\">Industry and Application Papers<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-969\"><a href=\"https:\/\/ieee-icde.org\/2025\/tutorials\/\" class=\"elementor-sub-item\">Tutorials<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-960\"><a href=\"https:\/\/ieee-icde.org\/2025\/demonstrations\/\" class=\"elementor-sub-item\">Demonstrations<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-651\"><a href=\"https:\/\/ieee-icde.org\/2025\/phd-symposium\/\" class=\"elementor-sub-item\">PhD Symposium<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-972\"><a href=\"https:\/\/ieee-icde.org\/2025\/future-technology\/\" class=\"elementor-sub-item\">Future Technology<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-964\"><a href=\"https:\/\/ieee-icde.org\/2025\/tkde-poster\/\" class=\"elementor-sub-item\">TKDE Poster<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1002\"><a href=\"https:\/\/ieee-icde.org\/2025\/sponsor-talk\/\" class=\"elementor-sub-item\">Sponsor Talk<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-825\"><a href=\"https:\/\/ieee-icde.org\/2025\/panel\/\" class=\"elementor-sub-item\">Panels<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1017\"><a href=\"https:\/\/ieee-icde.org\/2025\/dei-session\/\" class=\"elementor-sub-item\">Diversity, Equality and Inclusion<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-499\"><a href=\"https:\/\/ieee-icde.org\/2025\/workshop\/\" class=\"elementor-sub-item\">Workshops<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-1016\"><a href=\"https:\/\/ieee-icde.org\/2025\/2025\/05\/13\/awards\/\" class=\"elementor-sub-item\">Awards<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-995\"><a href=\"https:\/\/ieee-icde.org\/2025\/social-events\/\" class=\"elementor-sub-item\">Social Events<\/a><\/li>\n<\/ul>\n<\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-97\"><a class=\"elementor-item\">Participant Information<\/a>\n<ul class=\"sub-menu elementor-nav-menu--dropdown\">\n\t<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-826\"><a href=\"https:\/\/qr61.cn\/oyxOoK\/qScMnBF\" class=\"elementor-sub-item\">Registration Guidelines<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-803\"><a href=\"https:\/\/icde2025.scimeeting.cn\/en\/web\/index\/27942_2392916\" class=\"elementor-sub-item\">Registration (Early Bird to Apr 25)<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-801\"><a href=\"https:\/\/ieee-icde.org\/2025\/venue\/\" class=\"elementor-sub-item\">Venue<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-800\"><a href=\"https:\/\/ieee-icde.org\/2025\/hotels\/\" class=\"elementor-sub-item\">Hotels<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-799\"><a href=\"https:\/\/ieee-icde.org\/2025\/transportation\/\" class=\"elementor-sub-item\">Transportation<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-798\"><a href=\"https:\/\/ieee-icde.org\/2025\/dining\/\" class=\"elementor-sub-item\">Dining<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-977\"><a href=\"https:\/\/ieee-icde.org\/2025\/poster-session-instruction\/\" class=\"elementor-sub-item\">Poster Session Instruction<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-802\"><a href=\"https:\/\/partnernet.hktb.com\/en\/destination\/hong_kong_experiences\/index.html\" class=\"elementor-sub-item\">What to do in Hong Kong?<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-864\"><a href=\"https:\/\/ieee-icde.org\/2025\/icde-2025-student-travel-grants\/\" class=\"elementor-sub-item\">ICDE 2025 Student Travel Grants<\/a><\/li>\n<\/ul>\n<\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-258\"><a class=\"elementor-item\">Call for Contributions<\/a>\n<ul class=\"sub-menu elementor-nav-menu--dropdown\">\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-116\"><a href=\"https:\/\/ieee-icde.org\/2025\/cfp\/\" class=\"elementor-sub-item\">Call for Research Paper<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-413\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-industry-and-application\/\" class=\"elementor-sub-item\">Call for Industry and Application Papers<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-425\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-demonstrations\/\" class=\"elementor-sub-item\">Call for Demonstrations<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-389\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-workshop-proposal\/\" class=\"elementor-sub-item\">Call for Workshop Proposal<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-433\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-tutorials\/\" class=\"elementor-sub-item\">Call for Tutorials<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-464\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-tkde-poster\/\" class=\"elementor-sub-item\">Call for TKDE Poster<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-525\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-phd-symposium-submissions\/\" class=\"elementor-sub-item\">Call for PhD Symposium Submissions<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-421\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-data-engineering-future-technologies\/\" class=\"elementor-sub-item\">Call for Data Engineering Future Technologies<\/a><\/li>\n<\/ul>\n<\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-847\"><a class=\"elementor-item\">Sponsor<\/a>\n<ul class=\"sub-menu elementor-nav-menu--dropdown\">\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-471\"><a href=\"https:\/\/ieee-icde.org\/2025\/sponsorship-opportunities\/\" class=\"elementor-sub-item\">Sponsorship<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-846\"><a href=\"https:\/\/ieee-icde.org\/2025\/sponsor-faq\/\" class=\"elementor-sub-item\">Sponsor FAQ<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\t\t\t<\/nav>\n\t\t\t\t\t<div class=\"elementor-menu-toggle\" role=\"button\" tabindex=\"0\" aria-label=\"Menu Toggle\" aria-expanded=\"false\">\n\t\t\t<svg aria-hidden=\"true\" role=\"presentation\" class=\"elementor-menu-toggle__icon--open e-font-icon-svg e-eicon-menu-bar\" viewBox=\"0 0 1000 1000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M104 333H896C929 333 958 304 958 271S929 208 896 208H104C71 208 42 237 42 271S71 333 104 333ZM104 583H896C929 583 958 554 958 521S929 458 896 458H104C71 458 42 487 42 521S71 583 104 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menu-item-object-page menu-item-364\"><a href=\"https:\/\/ieee-icde.org\/2025\/green-conference\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Green ICDE 2025<\/a><\/li>\n<\/ul>\n<\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-259\"><a class=\"elementor-item\" tabindex=\"-1\">Conference Program<\/a>\n<ul class=\"sub-menu elementor-nav-menu--dropdown\">\n\t<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-900\"><a href=\"https:\/\/whova.com\/embedded\/event\/GxBPjMXSpG6%40RYnJLtjLoi%408UIH2yamSsFfRNbhWIv8%3D\/?utc_source=ems\" class=\"elementor-sub-item\" tabindex=\"-1\">Full Program<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-881\"><a href=\"https:\/\/ieee-icde.org\/2025\/the-detailed-programme\/\" class=\"elementor-sub-item\" tabindex=\"-1\">The Detailed Programme<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-704\"><a href=\"https:\/\/ieee-icde.org\/2025\/keynotes\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Keynotes<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-941\"><a href=\"https:\/\/ieee-icde.org\/2025\/research-papers\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Research Papers<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-957\"><a href=\"https:\/\/ieee-icde.org\/2025\/industry-and-application-papers\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Industry and Application Papers<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-969\"><a href=\"https:\/\/ieee-icde.org\/2025\/tutorials\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Tutorials<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-960\"><a href=\"https:\/\/ieee-icde.org\/2025\/demonstrations\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Demonstrations<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-651\"><a href=\"https:\/\/ieee-icde.org\/2025\/phd-symposium\/\" class=\"elementor-sub-item\" tabindex=\"-1\">PhD Symposium<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-972\"><a href=\"https:\/\/ieee-icde.org\/2025\/future-technology\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Future Technology<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-964\"><a href=\"https:\/\/ieee-icde.org\/2025\/tkde-poster\/\" class=\"elementor-sub-item\" tabindex=\"-1\">TKDE Poster<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1002\"><a href=\"https:\/\/ieee-icde.org\/2025\/sponsor-talk\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Sponsor Talk<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-825\"><a href=\"https:\/\/ieee-icde.org\/2025\/panel\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Panels<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1017\"><a href=\"https:\/\/ieee-icde.org\/2025\/dei-session\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Diversity, Equality and Inclusion<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-499\"><a href=\"https:\/\/ieee-icde.org\/2025\/workshop\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Workshops<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-1016\"><a href=\"https:\/\/ieee-icde.org\/2025\/2025\/05\/13\/awards\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Awards<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-995\"><a href=\"https:\/\/ieee-icde.org\/2025\/social-events\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Social Events<\/a><\/li>\n<\/ul>\n<\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-97\"><a class=\"elementor-item\" tabindex=\"-1\">Participant Information<\/a>\n<ul class=\"sub-menu elementor-nav-menu--dropdown\">\n\t<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-826\"><a href=\"https:\/\/qr61.cn\/oyxOoK\/qScMnBF\" class=\"elementor-sub-item\" tabindex=\"-1\">Registration Guidelines<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-803\"><a href=\"https:\/\/icde2025.scimeeting.cn\/en\/web\/index\/27942_2392916\" class=\"elementor-sub-item\" tabindex=\"-1\">Registration (Early Bird to Apr 25)<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-801\"><a href=\"https:\/\/ieee-icde.org\/2025\/venue\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Venue<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-800\"><a href=\"https:\/\/ieee-icde.org\/2025\/hotels\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Hotels<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-799\"><a href=\"https:\/\/ieee-icde.org\/2025\/transportation\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Transportation<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-798\"><a href=\"https:\/\/ieee-icde.org\/2025\/dining\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Dining<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-977\"><a href=\"https:\/\/ieee-icde.org\/2025\/poster-session-instruction\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Poster Session Instruction<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-802\"><a href=\"https:\/\/partnernet.hktb.com\/en\/destination\/hong_kong_experiences\/index.html\" class=\"elementor-sub-item\" tabindex=\"-1\">What to do in Hong Kong?<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-864\"><a href=\"https:\/\/ieee-icde.org\/2025\/icde-2025-student-travel-grants\/\" class=\"elementor-sub-item\" tabindex=\"-1\">ICDE 2025 Student Travel Grants<\/a><\/li>\n<\/ul>\n<\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-258\"><a class=\"elementor-item\" tabindex=\"-1\">Call for Contributions<\/a>\n<ul class=\"sub-menu elementor-nav-menu--dropdown\">\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-116\"><a href=\"https:\/\/ieee-icde.org\/2025\/cfp\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Call for Research Paper<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-413\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-industry-and-application\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Call for Industry and Application Papers<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-425\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-demonstrations\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Call for Demonstrations<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-389\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-workshop-proposal\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Call for Workshop Proposal<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-433\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-tutorials\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Call for Tutorials<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-464\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-tkde-poster\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Call for TKDE Poster<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-525\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-phd-symposium-submissions\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Call for PhD Symposium Submissions<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-421\"><a href=\"https:\/\/ieee-icde.org\/2025\/call-for-data-engineering-future-technologies\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Call for Data Engineering Future Technologies<\/a><\/li>\n<\/ul>\n<\/li>\n<li class=\"menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-item-847\"><a class=\"elementor-item\" tabindex=\"-1\">Sponsor<\/a>\n<ul class=\"sub-menu elementor-nav-menu--dropdown\">\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-471\"><a href=\"https:\/\/ieee-icde.org\/2025\/sponsorship-opportunities\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Sponsorship<\/a><\/li>\n\t<li class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-846\"><a href=\"https:\/\/ieee-icde.org\/2025\/sponsor-faq\/\" class=\"elementor-sub-item\" tabindex=\"-1\">Sponsor FAQ<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\t\t\t<\/nav>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-45784b8 e-flex e-con-boxed e-con e-parent\" data-id=\"45784b8\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-92ecd08 elementor-widget__width-auto elementor-widget elementor-widget-text-editor\" data-id=\"92ecd08\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h1>Research Papers<\/h1>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-808a0c5 e-flex e-con-boxed e-con e-parent\" data-id=\"808a0c5\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f39e3b1 elementor-widget elementor-widget-text-editor\" data-id=\"f39e3b1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>1.1: AI-based DB Tuning, Benchmarks and Performances I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1cc40f0 e-flex e-con-boxed e-con e-parent\" data-id=\"1cc40f0\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-54473c4 elementor-widget elementor-widget-text-editor\" data-id=\"54473c4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 11:00 \u2013 12:30\u00a0 @Y 301<\/span><\/b><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Yuren Mao (Zhejiang University)<\/span><\/b><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">404 | Guiding Index Tuning Exploration with Potential Estimation<\/span><\/b><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Kecheng Luo (East China Normal University); Ruiyang Ma (East China Normal University); Peng Cai (East China Normal University)*; Aoying Zhou (East China Normal University ); Zhiwei Ye (China Mobile Communications Corporation); Dunbo Cai (hina Mobile (Suzhou) Software Technology Co., Ltd.); Ling Qian (China Mobile Cloud Computing Center)<\/span><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">408 | Meta-learning Based CTR Algorithm Selection and Hyperparameter Optimization<\/span><\/b><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Chunnan Wang (Tencent Inc.); Junzhe Wang (Harbin Institute of Technology); Xiang Chen (KAUST); Xintong Song (Harbin Institute of Technology); TianYu Mu (Harbin Institute of Technology); Hongzhi Wang (Harbin Institute of Technology)*<\/span><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">693 | Towards Automatic and Efficient Prediction Query Processing in Analytical Database<\/span><\/b><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuchen Peng (Zhejiang University); Zhongle Xie (Zhejiang University)*; Ke Chen (Zhejiang University); Gang Chen (Zhejiang University); Lidan Shou (Zhejiang University)<\/span><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">788 | GRACEFUL: A Learned Cost Estimator For UDFs<\/span><\/b><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Johannes Wehrstein (TU Darmstadt)*; Tiemo Bang (UC Berkeley); Roman Heinrich (DFKI Darmstadt &amp; TU Darmstadt); Carsten Binnig (TU Darmstadt)<\/span><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1499 | MemQ: A Graph-Based Query Memory Prediction Framework for Effective Workload Scheduling<\/span><\/b><\/p><p style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yang Wu (Tsinghua University)*; Xuanhe Zhou (Department of Computer Science, Shanghai Jiao Tong University); Xiaoguang Li (Business-intelligence of Oriental Nations Corporation Ltd); Jinhuai Kang (Business-intelligence of Oriental Nations Corporation Ltd); Chunxiao Xing (Tsinghua University); Tongliang Li (Alibaba Group); Xinjun Yang (Alibaba Group); Wenchao Zhou (Alibaba Group); Feifei Li (Alibaba Group); Yong Zhang (Tsinghua University)<\/span><\/p><div style=\"color: #000000;font-size: medium\">\u00a0<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-040318e e-flex e-con-boxed e-con e-parent\" data-id=\"040318e\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e971b1d elementor-widget elementor-widget-text-editor\" data-id=\"e971b1d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>1.2: Data Mining and Knowledge Discovery I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-94fe236 e-flex e-con-boxed e-con e-parent\" data-id=\"94fe236\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-be3f044 elementor-widget elementor-widget-text-editor\" data-id=\"be3f044\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 11:00 \u2013 12:30\u00a0 @Y 302<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Jianzhong Qi (The University of Melbourne)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">118 | Efficient Learning-based Graph Simulation for Temporal Graphs<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Sheng Xiang (University of Technology Sydney)*; Chenhao Xu (Peking University); Dawei Cheng (Tongji University); Xiaoyang Wang (University of New South Wales); Ying Zhang (University of Technology Sydney)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">456 | DataVisT5: A Pre-trained Language Model for Jointly Understanding Text and Data Visualization<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhuoyue WAN (The Hong Kong Polytechnic University)*; Yuanfeng Song (WeBank); Shuaimin Li (The Hong Kong Polytechnic University); Chen Zhang (The Hong Kong Polytechnic University); Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">568 | pFedAFM: Adaptive Feature Mixture for Data-Level Personalization in Heterogeneous Federated Learning on Mobile Edge Devices<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Liping Yi (Nankai University)*; Han Yu (Nanyang Technological University (NTU)); Wang Gang (Nankai Univerisity); Liu Xiaoguang (Nankai Univerisity); Xiaoxiao Li (University of British Columbia)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">242 | On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-means<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yushuai Ji (Wuhan University); Zepeng Liu (Wuhan University); Sheng Wang (Wuhan University)*; Yuan Sun (La Trobe University); Zhiyong Peng ( Wuhan University, China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">876 | Defending against Attribute Inference Attacks in Post-Training of Recommendation Systems via Unlearning<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Wenhan Wu (Wuhan University)*; Yili Gong (Wuhan University); Jiawei Jiang (Wuhan University); Chuang Hu (University of Macau); XIAOBO ZHOU (University of Macau); Dazhao Cheng (Wuhan University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0be9811 e-flex e-con-boxed e-con e-parent\" data-id=\"0be9811\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-01783ef elementor-widget elementor-widget-text-editor\" data-id=\"01783ef\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>1.3: Explainability, Fairness, and Trust in Data Systems and Analysis I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-429b1af e-flex e-con-boxed e-con e-parent\" data-id=\"429b1af\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9cdfb4a elementor-widget elementor-widget-text-editor\" data-id=\"9cdfb4a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 11:00 \u2013 12:30\u00a0 @Y 303<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Xiangmeng WANG (The Hong Kong Polytechnic University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">513 | Intervention-Driven Correlation Reduction: A Data Generation Approach for Achieving Counterfactually Fair Predictors<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Dehua Zhou (Jinan University); Bowei Wu (Jinan University); Ke Wang (Jinan University)*; Qifen Yang (Jinan University); Yuhui Deng (Jinan University); Siu Ming Yiu (The University of Hong Kong)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">660 | SeSeMI: Secure Serverless Model Inference on Sensitive Data<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Guoyu Hu (National University of Singapore); Yuncheng Wu (Renmin University of China); Gang Chen (Zhejiang University); Anh Dinh (Deakin University); Beng Chin Ooi (NUS)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1475 | Fairness-Aware Active Online Learning with Changing Environments<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Sadaf MD Halim (The University of Texas at Dallas)*; Chen Zhao (Baylor University); Xintao Wu (University of Arkansas); Latifur Khan (The University of Texas at Dallas); Christan Earl Grant (University of Florida); Feng Chen (The University of Texas at Dallas)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">109 | Explaining Expert Search and Team Formation Systems with ExES<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Kiarash Golzadeh (University of Waterloo); Lukasz Golab (University of Waterloo)*; Jarek Szlichta (York University and IBM CAS)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">120 | Towards Fair Graph Neural Networks via Graph Counterfactual without sensitive attributes<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xuemin Wang (Guilin University Of Electronic Technology); Tianlong Gu (Jinan University)*; Xuguang Bao (Guilin university of electronic technology); Liang Chang (Guilin University of Electronic Technology)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7a7b5f7 e-flex e-con-boxed e-con e-parent\" data-id=\"7a7b5f7\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bbed2a9 elementor-widget elementor-widget-text-editor\" data-id=\"bbed2a9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>1.4: Distributed Ledgers and Blockchains<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1f75878 e-flex e-con-boxed e-con e-parent\" data-id=\"1f75878\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3747042 elementor-widget elementor-widget-text-editor\" data-id=\"3747042\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 11:00 \u2013 12:30\u00a0 @Y 304<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Cheqing Jin (East China Normal University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1506 | E<sup>3<\/sup>FS: Efficient, Secure, and Verifiable Fuzzy Search with Data Updates in Hybrid-Storage Blockchains<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Pengcheng Sun (University of Science and Technology of China)*; Lan Zhang (University of Science and Technology of China); Jiandong Liu (University of Science and Technology of China); Chen Tang (University of Science and Technology of China); Jialiang Wang (University of Science and Technology of China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1363 | VGQ: Enabling Verifiable Graph Queries on Blockchain Systems<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">zhongming yao (Northeastern University); Tianyi Li (Aalborg University); Junchang Xin (Northeastern University)*; Yushuai Li (Aalborg University); Chenxu Wang (Xi&#8217;an Jiaotong University); Zhiqiong Wang (Northeastern University); Divesh Srivastava (AT&amp;T Chief Data Office); Christian S. Jensen (Aalborg University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">767 | Loom: A Deterministic Execution Framework Towards Nested Contract Transactions<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Huan Zhang (East China Normal University); Xiaodong Qi (Nanyang Technological University); Haibo Tang ( East China Normal University); Zhao Zhang (East China Normal University)*; Cheqing Jin (East China Normal University); Aoying Zhou (East China Normal University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">340 | MassBFT: Fast and Scalable Geo-Distributed Byzantine Fault-Tolerant Consensus<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zeshun Peng (Northeastern University)*; Yanfeng Zhang (Northeastern University); Tinghao Feng (Northeastern University); Weixing Zhou (Northeastern University); Xiaohua Li (Northeastern University); Ge Yu (Northeastern University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">438 | MEST: An Efficient Authenticated Secondary Index in Blockchain Systems<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jinping Jia (East China Normal University)*; Yichen Gao (East China Normal University); Yifei Zhen (East China Normal University); Zhao Zhang (East China Normal University); Kun Qian (East China Normal University); Cheqing Jin (East China Normal University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4344253 e-flex e-con-boxed e-con e-parent\" data-id=\"4344253\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-824ef8f elementor-widget elementor-widget-text-editor\" data-id=\"824ef8f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>1.5: Query Processing, Indexing, and Optimization I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-30282a7 e-flex e-con-boxed e-con e-parent\" data-id=\"30282a7\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fddaed0 elementor-widget elementor-widget-text-editor\" data-id=\"fddaed0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 11:00 \u2013 12:30\u00a0 @Y 305<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Sibo Wang (The Chinese University of Hong Kong)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1543 | Proving Cypher Query Equivalence<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Lei Tang (Institute of Software Chinese Academy of Sciences)*; Wensheng Dou (Institute of Software Chinese Academy of Sciences); Yingying Zheng (Institute of Software Chinese Academy of Sciences); Lijie Xu (Institute of Software Chinese Academy of Sciences); Wei Wang (Institute of Software Chinese Academy of Sciences); Jun Wei (Institute of Software Chinese Academy of Sciences); Tao Huang (Institute of Software Chinese Academy of Sciences)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1307 | Accelerating Shortest Path Counting on Road Networks<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zebin Chen (University of New South Wales); Kaiyu Chen (University of New South Wales); Dong Wen (University of New South Wales)*; Zhengyi Yang (University of New South Wales); Wentao Li (University of Leicester); Ying Zhang (University of Technology Sydney)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">379 | Searching Society over Large Heterogeneous Information Networks<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xuan Liu (Swinburne University of Technology); Lu Chen (Swinburne University of Technology)*; Chengfei Liu (Swinburne University of Technology); Rui Zhou (Swinburne University of Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">461 | LORE: Learning-based Resource Recommendation for Big Data Queries<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yan Li (Wuhan University)*; Liwei Wang (Wuhan University); Bolong Zheng (Huazhong University of Science and Technology); Zhiyong Peng ( Wuhan University, China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1382 | WAF: An Efficient WebAssembly-based Execution Environment for User-defined Functions<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhuo Huang (Zhuo Huang)*; Hao Fan (HUST); Junhui Peng (HUST); Qi Wu (HUST); Song Wu (HUST); Chen Yu (HUST); Hai Jin (HUST); Qiming Liu (Alibaba); Wei Yang (Alibaba); Shuo Yu (Alibaba)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8a15c4f e-flex e-con-boxed e-con e-parent\" data-id=\"8a15c4f\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b445df0 elementor-widget elementor-widget-text-editor\" data-id=\"b445df0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>2.1: AI-based DB Tuning, Benchmarks and Performances II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ac4c6df e-flex e-con-boxed e-con e-parent\" data-id=\"ac4c6df\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cb71a2c elementor-widget elementor-widget-text-editor\" data-id=\"cb71a2c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 14:00 \u2013 15:30\u00a0 @Y 301<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Jiachuan Wang (The Hong Kong University of Science and Technology)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1269 | Machine Learning Inference Pipeline Execution Using Pure SQL Based on Operator Fusion<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Qingfeng Pan (East China Normal University); Jiahe Zhi (East China Normal University); Chenyang Zhang (East China Normal University); Chen Xu (East China Normal University)*; Zhao Zhang (East China Normal University); Shao xiqian (PingCAP); Guanglei Bao (PingCAP); Qiu Cui (PingCAP); Xiaowei Chen (PingCAP); Aoying Zhou (East China Normal University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">424 | Hyper: Hybrid Physical Design Advisor with Multi-agent Reinforcement Learning<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhicheng Pan (East China Normal University)*; Yuanjia Zhang (PingCAP); Chengcheng Yang (East China Normal University); Ahmad Ghazal (PingCAP); Rong Zhang (East China Normal University); Huiqi Hu (East China Normal University); XIAOJU WU (N\/A); Yu Dong (PingCAP); Xuan Zhou (East China Normal University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">197 | TopTune: Tailored Optimization for Categorical and Continuous Knobs Towards Accelerated and Improved Database Performance Tuning<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Rukai Wei (Huazhong University of Science and Technology)*; Yu Liu (Huazhong University of Science and Technology); Yufeng Hou (Huazhong University of Science and Technology); Heng Cui (Huazhong University of Science and Technology); Yongqiang Zhang (Dameng Database Co.,Ltd); Ke Zhou (Huazhong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1469 | Rabbit: Retrieval-Augmented Generation Enables Better Automatic Database Knob Tuning<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Wenwen Sun (East China Normal University); Zhicheng Pan (East China Normal University); Zirui Hu (East China Normal University); Yu Liu (East China Normal University); Chengcheng Yang (East China Normal University)*; Rong Zhang (East China Normal University); Xuan Zhou (East China Normal University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">780 | MaskSearch: Querying Image Masks at Scale<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Dong He (University of Washington)*; Jieyu Zhang (University of Washington); Maureen Daum (University of Washington); Alexander Ratner (University of Washington); Magdalena Balazinska (UW)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d483944 e-flex e-con-boxed e-con e-parent\" data-id=\"d483944\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-adc9a56 elementor-widget elementor-widget-text-editor\" data-id=\"adc9a56\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>2.2: Data Mining and Knowledge Discovery II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4ac641e e-flex e-con-boxed e-con e-parent\" data-id=\"4ac641e\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2147709 elementor-widget elementor-widget-text-editor\" data-id=\"2147709\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 14:00 \u2013 15:30\u00a0 @Y 302<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Jilin Hu (East China Normal University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1369 | Catch Me If You Can: A Multi-Agent Synthetic Fraud Detection Framework for Complex Networks<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Qianyu Wang (Beihang University)*; Wei-Tek Tsai ( Arizona State University); Tianyu Shi (Toronto University); Zhuang Liu (Dongbei University of Finance &amp; Economics); Bowen Du (Beihang University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">83 | An Adaptive Sampling Algorithm for the Top-K Group Betweenness Centrality<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Wenzheng Xu (Sichuan University)*; Honglin Mao (SICHUAN UNIVERSITY); Heng Shao (Sichuan university); Weifa Liang (City University of Hong Kong); Jian Peng (Sichuan University); Wen Huang (Sichuan University); Zichuan Xu (Dalian University of Technology); Pan Zhou (Huazhong University of Science and Technology); Jeffrey Xu Yu (Chinese University of Hong Kong)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">327 | BSG4Bot:Efficient Bot Detection based on Biased Heterogeneous Subgraphs<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Hao Miao (Peking University); Zida Liu (Peking University); Jun Gao (Peking University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">697 | Backdoor Graph Condensation<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jiahao WU (The Hong Kong Polytechnic University&amp;Southern University of Science and Technology)*; Ning LU (Hong Kong University of Science and Technology); Zeyu Dai (PolyU); kun wang (USTC); Wenqi FAN (The Hong Kong Polytechnic University); Shengcai Liu (Southern University of Science and Technology); Qing Li (The Hong Kong Polytechnic University ); Ke Tang (Southern University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1417 | FastFT: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Tianqi He (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Xiaohan Huang (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Yi Du (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Qingqing Long (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences); Ziyue Qiao (Great Bay University); Min Wu (Agency for Science, Technology and Research (A*STAR)); Yanjie Fu (Arizona State University); Yuanchun Zhou (Computer Network Information Center, Chinese Academy of Sciences); Meng Xiao (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences)*<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0030636 e-flex e-con-boxed e-con e-parent\" data-id=\"0030636\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-72fb4b4 elementor-widget elementor-widget-text-editor\" data-id=\"72fb4b4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>2.3: Explainability, Fairness, and Trust in Data Systems and Analysis II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8385764 e-flex e-con-boxed e-con e-parent\" data-id=\"8385764\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-44747a1 elementor-widget elementor-widget-text-editor\" data-id=\"44747a1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 14:00 \u2013 15:30\u00a0 @Y 303<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Jinfei Liu (Zhejiang University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">235 | Revelio: Revealing Important Message Flows in Graph Neural Networks<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Haoyu He (The George Washington University)*; Isaiah J. King (The George Washington University); H. Howie Huang (The George Washington University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">273 | Path-based summary explanations for graph recommenders<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Danae Pla Karidi (Archimedes, Athena RC)*; Evaggelia Pitoura (Univ. of Ioannina)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">916 | Interpretable Video based Stress Detection with Self-Refine Chain Reasoning<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yi Dai (Tsinghua University)*; Yang Ding (Tsinghua); Lei Cao (Beijing Normal University); Kaisheng Zeng (Tsinghua University); Junrui Tian (Tsinghua University); Zexi Lin (Tsinghua University); Ling Feng (Tsinghua university)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1491 | Synthesizing Scoring Functions for Rankings Using Symbolic Gradient Descent<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zixuan Chen (Northeastern University)*; Panagiotis Manolios (Northeastern University); Mirek Riedewald (Northeastern Univerisity)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">307 | Facility Location for Fair and Equitable Query Results<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Sara Cohen (The Hebrew University of Jerusalem); Helen Sternbach (Hebrew University of Jerusalem)*<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5ad27f9 e-flex e-con-boxed e-con e-parent\" data-id=\"5ad27f9\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6ce58e3 elementor-widget elementor-widget-text-editor\" data-id=\"6ce58e3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>2.4: Distributed, Parallel and P2P Data Management<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-37ac6ef e-flex e-con-boxed e-con e-parent\" data-id=\"37ac6ef\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-af9adf3 elementor-widget elementor-widget-text-editor\" data-id=\"af9adf3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 14:00 \u2013 15:30\u00a0 @Y 304<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Qiong Luo (The Hong Kong University of Science and Technology)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">286 | A Deep Dive into Protocol Design: How to Improve IPFS Performance Without Sacrificing Decentralization<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">zhu wenbin (ShanDong University); Zhaoyan Shen (Shandong University)*; Mengying Zhao (Shandong University); Dongxiao Yu (Shandong University); Bingzhe Li (University of Texas at Dallas)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1156 | Hamava: Fault-tolerant Reconfigurable Geo-Replication on Heterogeneous Clusters<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Tejas Mane (University of California, Riverside)*; Xiao Li (University of California, Riverside); Mohammad Sadoghi (University of California, Davis); Mohsen Lesani (University of California, Santa Cruz)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">132 | Promi: Progressive Live Migration in Distributed Database Systems<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhenghao Ding (Renmin University of China); Xinyi Zhang (Renmin University of China); WEI LU (Renmin University of China)*; Wenlong Ma (Huawei Technologies Co. Ltd.); Wenliang ZHANG (Huawei Technologies Co., Ltd.); Xiaoyong Du (Renmin University of China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">162 | GeoTP: Latency-aware Geo-Distributed Transaction Processing in Database Middlewares<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">QiYu Zhuang (Renmin University of China)*; xinyue Shi (Renmin University of China); Shuang Liu (Renmin University of China); WEI LU (Renmin University of China); Zhanhao Zhao (Renmin University of China); Yuxing Chen (Tencent); Tong Li (Renmin University of China); Anqun Pan (Tencent Inc., China); Xiaoyong Du (Renmin University of China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">261 | Scaling Asynchronous Graph Query Processing via Partitioned Stateful Traversal Machines<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Shaoyuan Chen (Tsinghua University)*; Hongtao Chen (Tsinghua University); Shaonan Ma (9#AISoft); Yajie Qin (9#AISoft); Zheng Wang (Tsinghua University); Weiyu Xie (Tsinghua University); Mingxing Zhang (Tsinghua University); Kang Chen (Tsinghua University); Xia Liao (Tsinghua university); Yingdi Shan (Tsinghua University); Jinlei Jiang (Tsinghua University); Yongwei Wu (Tsinghua University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5d010a1 e-flex e-con-boxed e-con e-parent\" data-id=\"5d010a1\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8352fa4 elementor-widget elementor-widget-text-editor\" data-id=\"8352fa4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>2.5: Query Processing, Indexing, and Optimization II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1f6b1e6 e-flex e-con-boxed e-con e-parent\" data-id=\"1f6b1e6\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-be51c81 elementor-widget elementor-widget-text-editor\" data-id=\"be51c81\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 14:00 \u2013 15:30\u00a0 @Y 305<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Kaustubh Beedkar (Indian Institute of Technology Delhi)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">561 | Efficient Indexing for Label-constrained Cohesive Subgraph Queries over Large Graphs<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xin Deng (Hunan University); Peng Peng (Hunan University)*; Chuanyu Liu (Hunan University); Xianyan Xie (Hunan University); Hui Zhou (Hunan University); Zheng Qin (Hunan University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1395 | TopK-BC: Efficient Maintenance of Top k (p,q)-bicliques over Streaming Bipartite Graphs<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xin Deng (Hunan University)*; zheng Qin (Hunan University); Peng Peng (Hunan University); Hui Zhou (Hunan University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">399 | HIGGS: Hierarchy-Guided Graph Stream Summarization<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xuan Zhao (University of Science and Technology of China); Xike Xie (University of Science and Technology of China)*; Christian S. Jensen (Aalborg University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">725 | Distributed Evaluation of Graph Queries using Recursive Relational Algebra<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">SARAH CHLYAH (Inria)*; <a>Pierre Genev<\/a><\/span><span style=\"font-size: 10pt;font-family: DengXian\">\u00e8<\/span><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">s (CNRS); Nabil Laya\u00efda<\/span><span class=\"MsoCommentReference\"><span lang=\"EN-US\" style=\"font-size: 8pt\"><a id=\"_anchor_1\" class=\"msocomanchor\" href=\"#_msocom_1\" name=\"_msoanchor_1\">[1i1]<\/a>\u00a0<\/span><\/span><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\"> (Inria)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">219 | Efficient Route and Area Matching Query in Dynamic Road Networks\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yikun Wang (Guangzhou University); Dian Ouyang (Guangzhou University)*; Zhuoran Wang (University of New South Wales); Dong Wen (University of New South Wales); Xuemin Lin (Shanghai Jiaotong University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1274c59 e-flex e-con-boxed e-con e-parent\" data-id=\"1274c59\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9735937 elementor-widget elementor-widget-text-editor\" data-id=\"9735937\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>3.1: AI-based DB Tuning, Benchmarks and Performances III<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0fb946f e-flex e-con-boxed e-con e-parent\" data-id=\"0fb946f\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-43f9535 elementor-widget elementor-widget-text-editor\" data-id=\"43f9535\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 16:00 \u2013 17:30\u00a0 @Y 301<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Zhifeng Bao (RMIT University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">99 | BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Chenhao Xu (Peking University)*; Chunyu Chen (Simon Fraser University); Jinglin Peng (Huawei Cloud); Jiannan Wang (Simon Fraser University); Jun Gao (Peking University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">638 | A-Tune-Online: Efficient and QoS-aware Online Configuration Tuning for Dynamic Workloads\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yu Shen (Tencent); Beicheng Xu (Peking University)*; Yupeng Lu (Peking University); Donghui Chen (Huawei); Huaijun Jiang (Peking University); Zhipeng Xie (Huawei); Senbo Fu (Huawei ); Zhang Nan (huawei); Yuxin Ren (Huawei Technologies); Ning Jia (Huawei Technologies); Xinwei Hu (Huawei Inc.); Bin Cui (Peking University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">755 | HAIDES: Adaptive Approximation of Inference Queries over Unstructured Data\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Christos Papadopoulos (Aalborg University)*; Alkis Simitsis (Athena Research Center); Torben Bach Pedersen (Aalborg University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">182 | Vista: Vector Indexing and Search for Large-scale Imbalanced Datasets\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yujian FU (National University of Singapore)*; cheng chen (bytedance); Yao Chen (National University of Singapore); Weng-Fai Wong (National University of Singapore); Bingsheng He (National University of Singapore)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">131 | Boosting Accuracy and Efficiency for Vector Retrieval with Local Scaling Graph\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Hongya Wang (Donghua University)*; WenLong Wu (DongHua University); Cong Luo (Donghua University); Aobei Bian (Donghua University); Chunguang Meng (Donghua University); Yishuo Wu ( Donghua University); Ji Sun (Huawei)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2b6be8a e-flex e-con-boxed e-con e-parent\" data-id=\"2b6be8a\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4a8f714 elementor-widget elementor-widget-text-editor\" data-id=\"4a8f714\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>3.2: Data Mining and Knowledge Discovery III<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-97e06e1 e-flex e-con-boxed e-con e-parent\" data-id=\"97e06e1\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-53105e2 elementor-widget elementor-widget-text-editor\" data-id=\"53105e2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 16:00 \u2013 17:30 @Y 302<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Wen Hua (The Hong Kong Polytechnic University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">934 | Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xiaokai Zhou (Wuhan University)*; Xiao Yan (Centre for Perceptual and Interactive Intelligence (CPII) ); Fangcheng Fu (Peking University); Xinyan Li (Wuhan Universit); Hao Huang (Wuhan University); Quanqing Xu (OceanBase, Ant Group ); Chuanhui Yang (OceanBase, Ant Group ); Bo Du (Wuhan University); Tieyun Qian (Wuhan University); Jiawei Jiang (Wuhan University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">251 | Approximate Vector Set Search: A Bio-Inspired Approach for High-Dimensional Spaces<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yiqi Li (Wuhan University); Sheng Wang (Wuhan University)*; Zhiyu Chen (Amazon Inc.); Shangfeng Chen (Wuhan University); Zhiyong Peng ( Wuhan University, China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">711 | PFCA: Efficient Path Filtering with Causal Analysis for Healthcare Risk Prediction\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">wang hao (Beijing Institute of technolody); Shi jiyun (Beijing Institute of Technology); Yuhao Chen (Beijing Institute of Technology); Haochen Xu (Beijing Institute of Technology); Chi Zhang (Beijing Institute of Technology); ZHAOJING LUO (Beijing Institute of Technology); Meihui Zhang (Beijing Institute of Technology)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1616 | Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xiaodong Li (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China)*; Jiawei Sheng (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China); Jiangxia Cao (Kuaishou Technology, Beijing, China); Xinghua Zhang (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China); Wenyuan Zhang (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China); Yong Sun (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China); Shirui Pan (School of information and Communication Technology, Griffith university, Queensland, Australia); Zhihong Tian (Cyberspace Institute of Advanced Technology, Guangzhou University, Guangdong, China); Tingwen Liu (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">880 | Pseudo-label-Based Unsupervised Granular-ball Division and Fast Spectral Clustering for High-dimensional Data\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Dongdong Cheng (Yangtze Normal University)*; xiaocui jiang (Chongqing University of Posts and Telecommunications); Shuyin Xia (Chongqing University of Posts and Telecommunications); Guoyin Wang (Chongqing Normal University )<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3e909ca e-flex e-con-boxed e-con e-parent\" data-id=\"3e909ca\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1bcd467 elementor-widget elementor-widget-text-editor\" data-id=\"1bcd467\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>3.3: Graph Learning and Mining I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f38679a e-flex e-con-boxed e-con e-parent\" data-id=\"f38679a\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-de4f86c elementor-widget elementor-widget-text-editor\" data-id=\"de4f86c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 16:00 \u2013 17:30 @Y 303<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Renchi Yang (Hong Kong Baptist University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1126 | MARIOH: Multiplicity-Aware Hypergraph Reconstruction\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Kyuhan Lee (KAIST); Geon Lee (KAIST); Kijung Shin (KAIST)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1464 | OptMatch: an Efficient and Generic Neural Network-assisted Subgraph Matching Approch<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Wenzhe Hou (National University of Defense Technology); Xiang Zhao (National University of Defense Technology)*; Bo Tang (Southern University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">384 | Efficient Dynamic Attributed Graph Generation<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Fan Li (University of New South Wales); Xiaoyang Wang (University of New South Wales)*; Dawei Cheng (Tongji University); Cong Chen (Tongji University); Ying Zhang (University of Technology Sydney); Xuemin Lin (Shanghai Jiaotong University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1298 | FrontOrder: Frontier-Guided Graph Reordering\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xinmiao Zhang (SKLP, Institute of Computing Technology, Chinese Academy of Sciences)*; Cheng Liu (Institute of Computing Technology, Chinese Academy of Sciences); Shengwen Liang (ICT,CAS); Chenwei Xiong (Institute of Computing Technology, Chinese Academy of Sciences); Yu Zhang (Huazhong University of Science and Technology); Lei Zhang (Institute of Computing Technology, Chinese Academy of Sciences); Huawei Li (Institute of Computing Technology, Chinese Academy of Sciences); Xiaowei Li (Institute Of Computing Technology Chinese Academy Of Sciences)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">458 | Training-free Heterogeneous Graph Condensation via Data Selection\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuxuan Liang (Peking University)*; Wentao Zhang (Peking University); Xinyi Gao (The University of Queensland); Ling Yang (Peking University); Chong Chen (huawei); Hongzhi Yin (The University of Queensland); Yunhai Tong (Peking University); Bin Cui (Peking University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-62906b9 e-flex e-con-boxed e-con e-parent\" data-id=\"62906b9\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a25f6a6 elementor-widget elementor-widget-text-editor\" data-id=\"a25f6a6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>3.4: Information Integration and Data Quality I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2f016e0 e-flex e-con-boxed e-con e-parent\" data-id=\"2f016e0\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-09ac4d4 elementor-widget elementor-widget-text-editor\" data-id=\"09ac4d4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 16:00 \u2013 17:30 @Y 304<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Xiaohui Yu (York University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">398 | Bargaining-based Data Markets\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuran Bi (Zhejiang University); Jinfei Liu (Zhejiang University)*; Kui Ren (Zhejiang University); Yihang Wu (Zhejiang University); Yang Cao (Institute of Science Tokyo )<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">396 | Computing Shapley Values in Preference Queries\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jiayao Zhang (Zhejiang University); Chirong Zhang (Simon Fraser University); Jian Pei (Duke University); Xuan Luo (York University); Jianliang Xu (Hong Kong Baptist University); Jinfei Liu (Zhejiang University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">218 | BLEND: A Unified Data Discovery System\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Mahdi Esmailoghli (TU Berlin)*; Christoph Schnell (Leibniz Universit\u00e4t Hannover); Ziawasch Abedjan (TU Berlin); Ren<\/span><span style=\"font-size: 10pt;font-family: DengXian\">\u00e9<\/span><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">e Miller (Northeastern U.\/Waterloo U.)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1020 | A Zero-Training Error Correction System with Large Language Models<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yangyang Wu (Zhejiang University)*; Chen Yang (Zhejang University); Mengying Zhu (Zhejiang University); Xiaoye Miao (Zhejiang University); Wei Ni (Zhejiang University; City University of Hong Kong); Meng Xi (Zhejiang University); Xinkui Zhao (Zhejiang University); Jianwei Yin (Zhejiang University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1138 | On Scalable Query Pricing in Data Marketplaces\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Huanhuan Peng (Zhejiang University); Xiaoye Miao (Zhejiang University)*; Yicheng Fu (Zhejiang university); Jinshan Zhang (School of Software Technology of Zhejiang University ); Shuiguang Deng (Zhejiang University); Jianwei Yin (Zhejiang University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3d1b77c e-flex e-con-boxed e-con e-parent\" data-id=\"3d1b77c\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2223ecb elementor-widget elementor-widget-text-editor\" data-id=\"2223ecb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>3.5: Query Processing, Indexing, and Optimization III<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f820a97 e-flex e-con-boxed e-con e-parent\" data-id=\"f820a97\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-87afcc3 elementor-widget elementor-widget-text-editor\" data-id=\"87afcc3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 16:00 \u2013 17:30 @Y 305<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Harry Kai-Ho Chan (University of Sheffield)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">101 | DEPA: Delta Shifting and Distribution Shaping for Efficient Adaptive Indexing\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ahmad Khazaie (Imperial College)*; Holger Pirk (Imperial College)<b><\/b><\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">450 | twCache: Thread-Wise Cache Management with High Concurrency Performance\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yigui Yuan (University of Science and Technology of China); Peiquan Jin (University of Science and Technology of China)*; Xiaoliang Wang (University of Science and Technology of China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">210 | A Storage Model with Fine-Grained In-Storage Query Processing for Spatio-Temporal Data<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yang Guo (The Chinese University of Hong Kong)*; Tianyu Wang (The Chinese University of Hong Kong); Zizhan Chen (The Chinese University of Hong Kong); Zili Shao (The Chinese University of Hong Kong)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">795 | Fast and Exact Similarity Search in less than a Blink of an Eye\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Patrick Sch\u00e4<a>fer (Humboldt-Universit\u00e4t zu Berlin)*; Jakob Brand ( Humboldt-Universit\u00e4t zu Berlin); Ulf Leser (Humboldt-Universit\u00e4t zu Berlin); Botao Peng (Institute of Computing Technology, Chinese Academy of Sciences); Themis Palpanas (Universit<\/a><\/span><span style=\"font-size: 10pt;font-family: DengXian\">\u00e9<\/span><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\"> Paris Cit<\/span><span style=\"font-size: 10pt;font-family: DengXian\">\u00e9<\/span><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">)<\/span><span class=\"MsoCommentReference\"><span lang=\"EN-US\" style=\"font-size: 8pt\"><a id=\"_anchor_1\" class=\"msocomanchor\" href=\"#_msocom_1\" name=\"_msoanchor_1\">[1i1]<\/a>\u00a0<\/span><\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">517 | Random Sampling over Spatial Range Joins\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Daichi Amagata (Osaka University)*<\/span><\/p><p>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2c846b3 e-flex e-con-boxed e-con e-parent\" data-id=\"2c846b3\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-60248e1 elementor-widget elementor-widget-text-editor\" data-id=\"60248e1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>3.6: Cloud Data Management<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c38e16c e-flex e-con-boxed e-con e-parent\" data-id=\"c38e16c\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f5ff763 elementor-widget elementor-widget-text-editor\" data-id=\"f5ff763\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 20 (Tue) 16:00 \u2013 17:30 @Y 306<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Xiaodong Zhang (The Ohio State University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">570 | Rottnest: Indexing Data Lakes for Search\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ziheng Wang (Stanford)*; Sasha Krassovsky (Anthropic PBC); Conor Kennedy (Stanford University); Rain Jiang (Bytedance); Weston Pace (LanceDB); Chenyu Jiang (ByteDance,Inc); Huayi Zhang (WPI); Wei Xu (Bytedance); Alex Aiken (Stanford University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">188 | TierBase: A Workload-Driven Cost-Optimized Key-Value Store<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhitao Shen (Ant Group); Shiyu Yang (Guangzhou University)*; Weibo Chen (Guangzhou University); Kunming Wang (Guangzhou University); Yue Li (Ant Group); jin jiabao (AntGroup); wei jia (antgroup); Junwei Chen (Ant Group); Yuan Su (Antgroup); xiaoxia duan (Ant Group); Wei Chen (Ant Group); Lei Wang (Antgroup); peter song (AntGroup); ruoyi ruan (alipay); Xuemin Lin (Shanghai Jiaotong University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1034 | Local-to-cloud Database Synchronization via Fine-grained Hybrid Compression\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Guoying Zhu (Nanjing university); Haipeng Dai (Nanjing University)*; KANG YUAN (alibaba-inc.com); Qian Wang (Nanjing University); lida chen (alibaba); Zhenghong Luo (Nanjing University); Meng Li (Nanjing University); Rong Gu (Nanjing University); Xizi Ni (Alibaba Group); Hua Fan (Alibaba Cloud); Dachao Fu (Alibaba Group); Wenchao Zhou (Alibaba Group)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1394 | Anomaly Diagnosis with Siamese Discrepancy Networks in Distributed Cloud Databases<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Lingsen Yan (Huazhong University of Science and Technology ); Bolong Zheng (Huazhong University of Science and Technology); Junjie Qing (Huazhong University of Science and Technology ); Wenlong You (Huazhong University of Science and Technology ); Tingyang Chen (Huazhong University of Science and Technology )*; Zhi Xu (Huawei); Shuncheng Liu (Huawei); Kai Zeng (Huawei); Tao Ye (Huawei); Xiaofang Zhou (Hong Kong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">417 | TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Aamod Khatiwada (Northeastern University); Harsha Kokel (IBM Research)*; Ibrahim Abdelaziz (IBM Research); Subhajit Chaudhury (IBM Research AI); Julian Dolby (IBM Research); Oktie Hassanzadeh (IBM Research); Zhenhan Huang (Rensselaer Polytechnic Institute); Tejaswini Pedapati (IBM Research); Horst Samulowitz (IBM Research); Kavitha Srinivas (IBM Research)<\/span><\/p><p>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ba72adf e-flex e-con-boxed e-con e-parent\" data-id=\"ba72adf\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e3b0eb9 elementor-widget elementor-widget-text-editor\" data-id=\"e3b0eb9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>4.1: AI4DB\/DB4AI I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2e0912a e-flex e-con-boxed e-con e-parent\" data-id=\"2e0912a\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d51c863 elementor-widget elementor-widget-text-editor\" data-id=\"d51c863\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 10:25 \u2013 11:55\u00a0 @Y 301<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Hanchen Wang (University of Technology Sydney)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1031 | ChainsFormer: Numerical Reasoning on Knowledge Graphs from a Chain Perspective<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ze Zhao (Shanghai Jiao Tong University); Bin Lu (Shanghai Jiao Tong University); Xiaoying Gan (Shanghai Jiao Tong University)*; Gu Tang (Shanghai Jiao Tong University); Luoyi Fu ( Shanghai Jiao Tong University); xinbing Wang ( Shanghai Jiao Tong University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">990 | No Rule is Forever: Datalog Reasoning with Rule Amendments<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Weiqin XU (UPEM); Riccardo Tommasini (INSA Lyon &#8211; LIRIS)*; Olivier Cur<\/span><span style=\"font-size: 10pt;font-family: DengXian\">\u00e9<\/span><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\"> (UGE)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1238 | Leveraging Heterogeneous Experts with Advantageous Pattern Memory Learning for Traffic Prediction\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yueyang Yao (Institute of Automation, Chinese Academy of Sciences); Xingyuan Dai (Institute of Automation, Chinese Academy of Sciences); Yisheng Lv (Institute of Automation, Chinese Academy of Sciences)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1209 | CLEAR: A Parser-Independent Disambiguation Framework for NL2SQL\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Meng Zhang (National University of Defense Technology)*; Kexin Ma (National University of Defense Technology); Liyang Xu (National University of Defense Technology); Kedi Zhang (National University of Defense Technology); Yuanxi Peng (National University of Defense Technology); Ruochun Jin (National University of Defense Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">233 | Towards Robustness of Text-to-Visualization Translation against Lexical and Phrasal Variability\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jinwei Lu (Shenzhen University); Yuanfeng Song (WeBank)*; Haodi Zhang (Shenzhen University); Chen Zhang (The Hong Kong Polytechnic University); Kaishun WU (HKUST(GZ)); Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)<\/span><\/p><p>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-62a8d95 e-flex e-con-boxed e-con e-parent\" data-id=\"62a8d95\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5065f0d elementor-widget elementor-widget-text-editor\" data-id=\"5065f0d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>4.2: Data Mining and Knowledge Discovery IV<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-803cec7 e-flex e-con-boxed e-con e-parent\" data-id=\"803cec7\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c7638cf elementor-widget elementor-widget-text-editor\" data-id=\"c7638cf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 10:25 \u2013 11:55\u00a0 @Y 302<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Boyu Ruan (Huawei Hong Kong Research Center (HKRC))<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1545 | Approximate Borderline Sampling using Granular-Ball for Classification Tasks\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Qin Xie (Chongqing University of Posts and Telecommunications)*; Qinghua Zhang (Chongqing University of Posts and Telecommunications); Shuyin Xia (Chongqing University of Posts and Telecommunications)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">532 | DiffODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yudong Zhang (University of Science and Technology of China); Xu Wang (University of Science and Technology of China); Xuan Yu (University of Science and Technology of China); Zhengyang Zhou (University of Science and Technology of China); Xing Xu (Wuhan University of Technology); Lei Bai (Shanghai AI Laboratory); Yang Wang (University of Science and Technology of China)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1003 | Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Shuyue Wei (Beihang University)*; Yongxin Tong (Beihang University); Zimu Zhou (City University of Hong Kong); Tianran He (Beihang University); Yi Xu (Beihang University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1004 | CrossST: An Efficient Pre-Training Framework for Cross-District Pattern Generalization in Urban Spatio-Temporal Forecasting\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Aoyu Liu (Tongji University); Yaying Zhang (Tongji University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1200 | Adaptive Data and Task Joint Scheduling for Multi-Task Learning<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zeyu Liu (Harbin Institute of Technology (Shenzhen))*; Heyan Chai (The Chinese University of Hong Kong); Chaoyang Li (HarBin Institute of Technology(ShenZhen);Peng Cheng Laboratory); Lingzhi Wang (Harbin Institute of Technology (Shenzhen)); Qing Liao (Harbin Institute of Technology (Shenzhen))<\/span><\/p><p>\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-59df15f e-flex e-con-boxed e-con e-parent\" data-id=\"59df15f\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1532057 elementor-widget elementor-widget-text-editor\" data-id=\"1532057\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>4.3: Graph Learning and Mining II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a9379f3 e-flex e-con-boxed e-con e-parent\" data-id=\"a9379f3\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-520bfed elementor-widget elementor-widget-text-editor\" data-id=\"520bfed\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 10:25 \u2013 11:55\u00a0 @Y 303<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Hong Cheng (The Chinese University of Hong Kong)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">168 | CommunityDF: A Guided Denoising Diffusion Approach for Community Search\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jiazun Chen (Peking university); Yikuan Xia (Peking University); Jun Gao (Peking University)*; Zhao Li (Hangzhou Yugu Technology); Hongyang Chen (Zhejiang Lab)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1531 | GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Rui Lv (University of Science and Technology of China)*; Zaixi Zhang (University of Science and Technology of China); Kai Zhang (University of Science and Technology of China); Qi Liu (University of Science and Technology of China); Weibo Gao (University of Science and Technology of China); Jiawei Liu (University of Science and Technology of China); Jiaxian Yan (University of Science and Technology of China); Linan Yue (University of Science and Technology of China); Fangzhou Yao (University of Science and Technology of China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">923 | Efficient Mixed Precision Quantization in Graph Neural Networks\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Samir Moustafa (University of Vienna)*; Nils Kriege (University of Vienna); Wilfried Gansterer (Universit\u00e4t Wien)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">702 | Imputing Sparse and Noisy Labels for GNNs\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Wenfei Fan (Univ. of Edinburgh ); Kehan Pang (Beihang University); Chao Tian (Beihang University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">467 | Towards Scalable and Efficient Graph Structure Learning<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Siqi Shen (Peking University )*; Wentao Zhang (Peking University); Chengshuo Du (Renmin University of China); Chong Chen (huawei); Fangcheng Fu (Peking University); Yingxia Shao (BUPT); Bin Cui (Peking University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f364043 e-flex e-con-boxed e-con e-parent\" data-id=\"f364043\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-24509b3 elementor-widget elementor-widget-text-editor\" data-id=\"24509b3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>4.4: Information Integration and Data Quality II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-73938d9 e-flex e-con-boxed e-con e-parent\" data-id=\"73938d9\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a116b13 elementor-widget elementor-widget-text-editor\" data-id=\"a116b13\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 10:25 \u2013 11:55\u00a0 @Y 304<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Ziawasch Abedjan (Berlin Institute for the Foundations of Learning and Data (BIFOLD) &amp; TU Berlin)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1135 | ZeroED: Hybrid Zero-Shot Error Detection with Large Language Model Reasoning\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Wei Ni (Zhejiang University; City University of Hong Kong); Kaihang Zhang (Zhejiang University); Xiaoye Miao (Zhejiang University)*; Xiangyu Zhao (City Universty of Hong Kong); Yangyang Wu (Zhejiang University); Yaoshu Wang (Shenzhen Institute of Computing Sciences, Shenzhen University); Jianwei Yin (Zhejiang University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">371 | Think Twice Before Imputation: Optimizing Data Imputation Order for Machine Learning<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jiaxuan Zhang (Beijing University of Posts and Telecommunications)*; Haitao Yuan (Nanyang Technological University); Jianing Si (Beijing University of Posts and Telecommunications); Nan Jiang (Beijing University of Posts and Telecommunications); Shangguang Wang (State Key Laboratory of Networking and Switching Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">433 | MISS: An Incomplete Tabular Data Representation System with Missing Mechanism Learning\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yangyang Wu (Zhejiang University); Shuwei Liang (Zhejiang University); Lei Qiang (Zhejiang University); Xiaoye Miao (Zhejiang University)*; Xinkui Zhao (Zhejiang University); Junlan Cai (Beijing Life Science Academy); Yunjun Gao (Zhejiang University); Jianwei Yin (Zhejiang University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1457 | Real-time Single-Source Personalized PageRank over Evolving Social Networks\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Shuai Sujun (University of Electronic Science and Technology of China)*; Rao Xuan (University of Electronic Science and Technology of China); Chen Lisi (University of Electronic Science and Technology of China); Shang Shuo (University of Electronic Science and Technology of China); Gao Shen (University of Electronic Science and Technology of China)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-29f05f0 e-flex e-con-boxed e-con e-parent\" data-id=\"29f05f0\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c6ba257 elementor-widget elementor-widget-text-editor\" data-id=\"c6ba257\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>4.5: Query Processing, Indexing, and Optimization IV<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3da0009 e-flex e-con-boxed e-con e-parent\" data-id=\"3da0009\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ff63be6 elementor-widget elementor-widget-text-editor\" data-id=\"ff63be6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 10:25 \u2013 11:55\u00a0 @Y 305<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Hui Li (Xidian University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">348 | A Length Enhanced B+ tree based index for Efficient Set Similarity Query\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Lianyin Jia (Faculty of Information Engineering and Automation, Kunming University of Science &amp; Technology); Shiqi Luo (Kunming University of Science and Technology); Jiaman Ding (Kunming University of Science &amp; Technology); Suprio Ray (University of New Brunswick, Fredericton); Mengjuan Li (Yunnan Normal University); Xiuxing Li (School of Computer Science &amp; Technology, Beijing Institute of Technology)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1381 | Optimizing Queries with Many-to-Many Joins\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Hasara Kalumin (University of Maryland)*; Amol Deshpande (University of Maryland)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">924 | Indexing Strings with Utilities\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Giulia Bernardini (University of Trieste); Huiping Chen (University of Birmingham)*; Alessio Conte (University of Pisa); Roberto Grossi (University of Pisa); Veronica Guerrini (University of Pisa); Grigorios Loukides (King&#8217;s College London); Nadia Pisanti (University of Pisa); Solon Pissis (CWI)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1118 | Interactive Learning for Diverse Top-k Set<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Weicheng Wang (Hong Kong University of Science and Technology)*; Raymond Chi-Wing Wong (Hong Kong University of Science and Technology); Jinyang Li (University of Michigan); H. Jagadish (University of Michigan)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1653 | Query Weak Equivalence and Its Verification in Analytical Databases<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jinguo You (Kunming University of Science and Technology)*; Wanting Fu (Kunming University of Science and Technology)\u00a0 \u00a0 \u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3819f8d e-flex e-con-boxed e-con e-parent\" data-id=\"3819f8d\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0c08389 elementor-widget elementor-widget-text-editor\" data-id=\"0c08389\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>5.1: AI4DB\/DB4AI II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-97dd90e e-flex e-con-boxed e-con e-parent\" data-id=\"97dd90e\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a8fd9f7 elementor-widget elementor-widget-text-editor\" data-id=\"a8fd9f7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 14:45 \u2013 16:15\u00a0 @Y 301<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Xuanhe Zhou (Shanghai Jiao Tong University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">837 | FedEcover: Fast and Stable Converging Model-Heterogeneous Federated Learning with Efficient-Coverage Submodel Extraction\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Juntao Liang (University of Science and Technology of China)*; Lan Zhang (University of Science and Technology of China); Xiangmou Qu (Chongqing University); Jun Wang (University of Luxembourg)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">932 | FedSDP: Federated Self-Derived Prototypes for Personalized Federated Learning\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jihoon Moon (Seoul National University of Science and Technology); Ling Liu (Georgia Institute of Technology); Hyuk-Yoon Kwon (Seoul National University of Science and Technology)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">898 | FeVisQA: Free-form Question Answering over Data Visualizations\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuanfeng Song (WeBank)*; Jinwei Lu (Shenzhen University); Yuanwei Song (Huawei Technologies); Caleb Chen Cao (HKUST); Raymond Chi-Wing Wong (Hong Kong University of Science and Technology); Haodi Zhang (Shenzhen University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1265 | OMeGa: Boosting Large-scale Graph Embeddings with Heterogeneous Memory Processing<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Peng Fang (Huazhong University of Science and Technology)*; Siqiang Luo (Nanyang Technological University); Fang Wang (Huazhong University of Science and Technology); Bolong Zheng (Huazhong University of Science and Technology); Hong Jiang (Department of Computer Science and Engineering, University of Texas at Arlington, USA); Dan Feng (Huazhong University of Science and Technology); Hechang Pan (Huazhong University of Sience and Technology); Xingyu Wan (Huazhong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">422 | CDA: Cost-Sensitive Data Acquisition for Incomplete Datasets\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Kaiyu Li (York University); Xiaohui Yu (York University)*; Jian Pei (Duke University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fc6885a e-flex e-con-boxed e-con e-parent\" data-id=\"fc6885a\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b49452b elementor-widget elementor-widget-text-editor\" data-id=\"b49452b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>5.2: Data Mining and Knowledge Discovery V<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-51ae524 e-flex e-con-boxed e-con e-parent\" data-id=\"51ae524\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eff870f elementor-widget elementor-widget-text-editor\" data-id=\"eff870f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 14:45 \u2013 16:15\u00a0 @Y 302<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Wenqi FAN (The Hong Kong Polytechnic University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">421 | All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction<\/span><\/b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Shuheng Fang (The Chinese University of Hong Kong); Kangfei Zhao (Beijing Insitute of Technology)*; Yu Rong (Tencent AI Lab); Jeffrey Xu Yu (Chinese University of Hong Kong); Zhixun Li (The Chinese University of Hong Kong)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">216 | OneRoundSTL: In-Database Seasonal-Trend Decomposition\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">zijie chen (Tsinghua University); Shaoxu Song (Tsinghua University)*; Jianmin Wang (Tsinghua University, China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1389 | Scalable Tabular Hierarchical Metadata Classification in Heterogeneous Structured<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Large-scale Datasets using Contrastive Learning<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Bhim Kandibedala (FSU); Gyanendra Shrestha (FSU); Anna Pyayt (USF); Todor Ivanov (FSU); Michael Gubanov (Florida State University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">150 | LETFramework: Let the Universal Sketch be Accurate\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ruijie Miao (Peking University)*; Xiangwei Deng (peking university); Zicang Xu (Peking University); Ziyun Zhang (Peking University); Tong Yang (Peking University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1160 | Fast Maximization of Current Flow Group Closeness Centrality\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Haisong Xia (Fudan University)*; Zhongzhi Zhang (Fudan University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bc973ce e-flex e-con-boxed e-con e-parent\" data-id=\"bc973ce\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-64ec1d7 elementor-widget elementor-widget-text-editor\" data-id=\"64ec1d7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>5.3: Graph Learning and Mining III<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7526861 e-flex e-con-boxed e-con e-parent\" data-id=\"7526861\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-23cae29 elementor-widget elementor-widget-text-editor\" data-id=\"23cae29\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 14:45 \u2013 16:15\u00a0 @Y 303<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Haoyang Li (The Hong Kong Polytechnic University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">782 | SIGMA: An Efficient Heterophilous Graph Neural Network With Similarity-based Efficient Global Aggregation<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Haoyu Liu (Nanyang Technological University)*; Ningyi Liao (Nanyang Technological University ); Siqiang Luo (Nanyang Technological University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">478 | IsGCL: Informative Sample-Aware Progressive Graph Contrastive Learning\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Juxiang Zeng (Xi&#8217;an Jiaotong University)*; Pinghui Wang (Xi&#8217;an Jiaotong University); Linbo Ma (Xi&#8217;an Jiaotong University); Jing Tao (Xi&#8217;an Jiaotong University); Xiaohong Guan (Xi&#8217;an Jiaotong University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1572 | With Anchors or Not: Fairness-aware Truss-based Community Search on Attributed Graphs\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xinrui Wang (Shandong University); Zilong Liu (Shandong University); Shixin Ye (Shandong University); Xin Huang (Hong Kong Baptist University); Hong Gao (Zhejiang Normal University); Xiuzhen Cheng (Shandong University); Dongxiao Yu (Shandong University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1266 | Enhance Stability of Network by Edge Anchor\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Hongbo Qiu (Zhejiang GongShang University); Renjie Sun (East China Normal University)*; Chen Chen (University of Wollongong); Xiaoyang Wang (University of New South Wales)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1413 | UMGAD: Unsupervised Multiplex Graph Anomaly Detection\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xiang Li (Ocean University of China); Jianpeng Qi (Ocean University of China); Zhongying Zhao (Shandong University of Science and Technology); Guanjie Zheng ( Shanghai Jiao Tong University); Lei Cao (The University of Arizona); Junyu Dong (Ocean University of China); Yanwei Yu (Ocean University of China)*<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d1a64a0 e-flex e-con-boxed e-con e-parent\" data-id=\"d1a64a0\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1a8e228 elementor-widget elementor-widget-text-editor\" data-id=\"1a8e228\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>5.4: Information Retrieval and Data Management I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6f28226 e-flex e-con-boxed e-con e-parent\" data-id=\"6f28226\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-59b28ae elementor-widget elementor-widget-text-editor\" data-id=\"59b28ae\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 14:45 \u2013 16:15\u00a0 @Y 304<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Cheng Long (Nanyang Technological University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">376 | SAGE: A Framework of Precise Retrieval for RAG\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jintao Zhang (Tsinghua University); Guoliang Li (Tsinghua University)*; Jinyang Su ( Tsinghua University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1163 | LOVO: Efficient Complex Object Query in Large-Scale Video Datasets\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuxin LIU (Shanghai Jiao Tong University)*; Yuezhang PENG (Shanghai Jiao Tong University); Hefeng Zhou (Shanghai Jiao Tong University); Hongze Liu (Shanghai Jiao Tong University); Xinyu LU (Shanghai Jiao Tong University); Jiong Lou (Shanghai Jiao Tong University); Chentao WU (Shanghai Jiao Tong University); Wei ZHAO (Shenzhen University of Advanced Technology); Jie Li (Shanghai Jiao Tong University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">158 | A Cost-Effective and Decompression-Transparent Compressor for OLTP-Oriented Databases<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Hao Hu (Harbin Institute of Technology, Shenzhen)*; Qiyang Zheng (Harbin Institute of Technology, Shenzhen); Xiangyu Zou (Harbin Institute of Technology, Shenzhen); Lisha Qin (Harbin Institute of Technology, Shenzhen); Zhaoheng Jiang (Enmotech); Chengwei Zhang (Enmotech); wanchuan zhang (enmotech); Daoce Wang (Indiana University Bloomington); Dingwen Tao (Institute of Computing Technology, Chinese Academy of Sciences); Hongpeng Wang (Harbin institute of technology,shenzhen); Wen Xia (Harbin Institute of Technology,Shenzhen)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1113 | MultiRAG: A Knowledge-guided Framework for Mitigating Hallucination in Multi-source Retrieval Augmented Generation\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">wenlong wu (Nanjing University of Aeronautics and Astronautics); Haofen Wang (Tongji University); Bohan Li (Nanjing University of Aeronautics and Astronautics)*; Peixuan Huang (Nanjing University of Aeronautics and Astronautics); xinzhe zhao (Nanjing University of Aeronautics and Astronautics); Lei Liang (Ant Group)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8aaac84 e-flex e-con-boxed e-con e-parent\" data-id=\"8aaac84\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3d94eda elementor-widget elementor-widget-text-editor\" data-id=\"3d94eda\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>5.5: Query Processing, Indexing, and Optimization V<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-60a40e0 e-flex e-con-boxed e-con e-parent\" data-id=\"60a40e0\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a6da373 elementor-widget elementor-widget-text-editor\" data-id=\"a6da373\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 14:45 \u2013 16:15\u00a0 @Y 305<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Wangze Ni (Zhejiang University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">992 | White Box Micro-Adaptive Query Processing\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jack Pearce (Imperial College London)*; Hubert Mohr-Daurat (Imperial College London); Holger Pirk (Imperial College)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">43 | ALT-index: A Hybrid Learned Index for Concurrent Memory Database Systems\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuxin Yang (Huazhong University of Science and Technology)*; Fang Wang (Huazhong University of Science and Technology); Mengya Lei (Hubei University of Technology); zhang peng (HuaZhong university of science and technology); Dan Feng (Huazhong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">397 | Interactive Search with Reinforcement Learning<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Weicheng Wang (Hong Kong University of Science and Technology)*; Victor Junqiu Wei (Hong Kong University of Science and Technology); Min Xie (Shenzhen Institute of Computing Sciences ); Di Jiang (WeBank); Lixin Fan (WeBank); haijun yang (Webank Co., Ltd.)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">425 | Learned Compression of Nonlinear Time Series With Random Access\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"PT\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Andrea Guerra (University of Pisa)*; Giorgio Vinciguerra (Universit<\/span><span style=\"font-size: 10pt;font-family: DengXian\">\u00e0<\/span><span lang=\"PT\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\"> di Pisa); Antonio Boffa (EPFL); Paolo Ferragina (Universit<\/span><span style=\"font-size: 10pt;font-family: DengXian\">\u00e0<\/span><span lang=\"PT\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\"> di Pisa)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ec05364 e-flex e-con-boxed e-con e-parent\" data-id=\"ec05364\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9ebd8d7 elementor-widget elementor-widget-text-editor\" data-id=\"9ebd8d7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>6.1: AI4DB\/DB4AI III<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8ce03c4 e-flex e-con-boxed e-con e-parent\" data-id=\"8ce03c4\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0624b8a elementor-widget elementor-widget-text-editor\" data-id=\"0624b8a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 16:40 \u2013 18:10\u00a0 @Y 301<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Xiang Zhao (National University of Defense Technology)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1374 | Tag-Filtered Approximate Nearest Neighbor Search\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jiarui Luo (Rutgers University &#8211; New Brunswick)*; Miao Qiao (University of Auckland); Chaoji Zuo (Rutgers University &#8211; New Brunswick); Dong Deng (Rutgers University &#8211; New Brunswick)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">171 | Auto-TSF: Towards Proxy-Model-based Meta-learning for Automatic Time Series Forecasting Algorithm Selection\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">TianYu Mu (Harbin Institute of Technology); Hongzhi Wang (Harbin Institute of Technology)*; Chen Liang (Harbin Institute of Technology); Xinyue Shao (Harbin Institute of Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1544 | AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">xiuwen li (Eastern China Normal University); qifeng cai (Eastern China Normal University); Yang Shu (Eastern China Normal University)*; Chenjuan Guo (Eastern China Normal University); Bin Yang (Eastern China Normal University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1 | Grounding Natural Language to SQL Translation with Data-Based Self-Explanations<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuankai Fan (Fudan University)*; Tonghui Ren (Fudan University); Can Huang (Fudan University); Zhenying He (Fudan University); X. Sean Wang (Fudan University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">882 | Boosting with Fewer Tokens: Multi-Query Optimization for LLMs Using Node Text and Neighbor Cues\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yujie Fang (Beijing Institute of Technology); Xin Li (Beijing Institute of Technology)*; Yuangang Pan (Agency for Science, Technology and Research); Xin Huang (Hong Kong Baptist University); Ivor Tsang (A*STAR CFAR)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f15f2b4 e-flex e-con-boxed e-con e-parent\" data-id=\"f15f2b4\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bf82cef elementor-widget elementor-widget-text-editor\" data-id=\"bf82cef\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>6.2: Data Mining and Knowledge Discovery VI<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fb8923e e-flex e-con-boxed e-con e-parent\" data-id=\"fb8923e\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-62af9fb elementor-widget elementor-widget-text-editor\" data-id=\"62af9fb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 16:40 \u2013 18:10\u00a0 @Y 302<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Weixin Zeng (National University of Defense Technology)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">701 | Tailoring the Shapley Value for In-context Example Selection towards Data Wrangling\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zheng Liang (Harbin Institute of Technology); Hongzhi Wang (Harbin Institute of Technology)*; Xiaoou Ding (Harbin Institute of Technology); Zhiyu Liang (Harbin Institute of Technology); Chen Liang (Harbin Institute of Technology); yafeng tang (Harbin Institute of Technology); Jianzhong Qi (The University of Melbourne)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">275 | A Bargaining-based Approach for Feature Trading in Vertical Federated Learning\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yue Cui (The Hong Kong University of Science and Technology)*; Liuyi Yao (Alibaba Group); Zitao Li (Alibaba Group); Yaliang Li (Alibaba Group); Keqin Zhong (University at Buffalo); Bingyi Liu (Wuhan University of Technology ); Bolin Ding (Data Analytics and Intelligence Lab, Alibaba Group); Xiaofang Zhou (The Hong Kong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">805 | A-DARTS: Stable Model Selection for Data Repair in Time Series<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Mourad Khayati (University of Fribourg)*; Guillaume Chacun (University of Applied Sciences Western Switzerland (HES-SO)); Zakhar Tymchenko (University of Fribourg); Philippe Cudre-Mauroux (University of Fribourg)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">303 | DELRec: Distilling Sequential Pattern to Enhance LLMs-based Sequential Recommendation<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Guohao Sun (Donghua university)*; Haoyi Zhang (Donghua University); Jinhu Lu (Fuyang Normal University); Guanfeng Liu (Macquarie University); Xiu FANG (Donghua University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1368 | Birds of a Feather: Enhancing Multimodal Fake News Detection via Multi-Element Retrieval\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xueqin Chen (Delft University of Technology)*; Xiaoyu Huang (Southwestern University of Finance and Economics); Qiang Gao (Southwestern University of Finance and Economics); Li Huang (Southwestern University of Finance and Economics); Jiajing Yu (Southwestern University of Finance and Economics); Guisong Liu (Southwestern University of Finance and Economics)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c88fe8a e-flex e-con-boxed e-con e-parent\" data-id=\"c88fe8a\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a191fad elementor-widget elementor-widget-text-editor\" data-id=\"a191fad\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>6.3: Graph Learning and Mining IV<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fd890f7 e-flex e-con-boxed e-con e-parent\" data-id=\"fd890f7\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-73c962d elementor-widget elementor-widget-text-editor\" data-id=\"73c962d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 16:40 \u2013 18:10\u00a0 @Y 303<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Long Yuan (Wuhan University of Technology)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1161 | Adaptive Local Clustering over Attributed Graphs\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Haoran Zheng (Hong Kong Baptist University); Renchi Yang (Hong Kong Baptist University)*; Jianliang Xu (Hong Kong Baptist University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1001 | CaliEX: A Disk-based Large-Scale GNN Training System with Joint Design of Caching and Execution<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Can Su (Peking University)*; Haipeng Zhang (Peking University); Hanyu Zhao (Alibaba Cloud Computing); Wenting Shen (Alibaba Group); Baole Ai (Alibaba Group); Yong Li (Alibaba Group); Kaigui Bian (Peking University); Bin Cui (Peking University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1497 | Efficient Integration of Multi-View Attributed Graphs for Clustering and Embedding\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yiran Li (The Hong Kong Polytechnic University); Gongyao Guo (The Hong Kong Polytechnic University); Jieming Shi (The Hong Kong Polytechnic University)*; Sibo Wang (The Chinese University of Hong Kong); Qing Li (The Hong Kong Polytechnic University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">864 | The Most Influenced Community Search on Social Networks\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xueqin Chang (Zhejiang University); Qing Liu (Zhejiang University); Yunjun Gao (Zhejiang University)*; Baihua Zheng (Singapore Management University); Yi Cai (School of Software Engineering, South China University of Technology); Qing Li (The Hong Kong Polytechnic University )<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1171 | Clique Comparator: A Fundamental Operator for Finding a Concise Clique Summary<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xiaofan Li (Nanyang Technological University)*; Rui Zhou (Swinburne University of Technology); Lu Chen (Swinburne University of Technology); Chengfei Liu (Swinburne University of Technology)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0e1707b e-flex e-con-boxed e-con e-parent\" data-id=\"0e1707b\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4ef24cf elementor-widget elementor-widget-text-editor\" data-id=\"4ef24cf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>6.4: Information Retrieval and Data Management II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9e88bb6 e-flex e-con-boxed e-con e-parent\" data-id=\"9e88bb6\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ec4c976 elementor-widget elementor-widget-text-editor\" data-id=\"ec4c976\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 16:40 \u2013 18:10\u00a0 @Y 304<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Yujuan Ding (The Hong Kong Polytechnic University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">258 | DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xihong Yang (National University of Defense Technology)*; heming jing (individual); Zixing Zhang (Tencent); Jindong Wang (Baidu Inc); Huakang Niu (Baidu Inc); Shuaiqiang Wang (Baidu Inc.); lu yu (baidu); junfeng wang (Baidu); Dawei Yin (Baidu); Xinwang Liu (National University of Defense Technology); En Zhu (National University of Defense Technology); Defu Lian (University of Science and Technology of China); Erxue Min (Baidu Inc)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">946 | Autumn: A Scalable Read Optimized LSM-tree based Key-Value Stores with Fast Point and Range Reads\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Fuheng Zhao (UCSB)*; Zachary Miller (UCSB); Leron Reznikov (University of California, Santa Barbara); Divy Agrawal (University of California, Santa Barbara); Amr El Abbadi (UC Santa Barbara)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">191 | Joinable Search over Multi-source Spatial Datasets: Overlap, Coverage, and Efficiency\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Wenzhe Yang (Wuhan University)*; Sheng Wang (Wuhan University); Zhiyu Chen (Amazon Inc.); Yuan Sun (La Trobe University); Zhiyong Peng ( Wuhan University, China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">796 | Indexing Labeled Property Multidigraphs in Entropy Space, With Applications\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Hongwei Huo (Xidian University)*; Yongze Yu (Xidian University); zongtao he (Xidian University); Jeffrey Vitter (Tulane University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">506 | Columnar Formatted Inverted Index for Highly-paralleled, Vectorized Query Processing<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Weichen Zhao (East China Normal University)*; Minghao Zhao (East China Normal University); Huiqi Hu (East China Normal University); Weining Qian (East China Normal University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-99cbc66 e-flex e-con-boxed e-con e-parent\" data-id=\"99cbc66\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a52801b elementor-widget elementor-widget-text-editor\" data-id=\"a52801b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>6.5: Crowdsourcing, Spatial and Temporal Databases<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-da65ea5 e-flex e-con-boxed e-con e-parent\" data-id=\"da65ea5\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4e837b2 elementor-widget elementor-widget-text-editor\" data-id=\"4e837b2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 16:40 \u2013 18:10\u00a0 @Y 305<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Weicheng Wang (The Hong Kong University of Science and Technology)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">894 | Sustainability-Oriented Task Recommendation in Spatial Crowdsourcing<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jinwen Chen (University of Electronic Science and Technology of China); Hao Miao (Aalborg University); Dazhuo Qiu (Aalborg University); Jiannan Guo (China Mobile Cloud Centre); Yawen Li (Beijing University of Posts and Telecommunications); Yan Zhao (Aalborg University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">226 | PBSM: Predictive Bi-preference Stable Matching in Spatial Crowdsourcing\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuan Xie (National University of Singapore)*; Yumeng Liu (Institute of Software Chinese Academy of Sciences); Xu Zhou (Hunan university); Yifang Yin (Institute for Infocomm Research, A*STAR); Kenli Li (Hunan University); Roger Zimmermann (NUS)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">347 | Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Meng Wang (Xi&#8217;an Polytechnic University); Jintao Yang (Xi&#8217;an Polytechnic University); Bin Yang (East China Normal University)*; Hui Li (Xidian University); Tongxin Gong (Xi&#8217;an Polytechnic University); Bo Yang (<a>Xi&#8217;an <\/a><\/span><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Polytechnic University ); Jiangtao Cui (Xidian University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">674 | FedRoad: Secure and Efficient Road Network Queries over Traffic Data Federation\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Shuai Huang (Tsinghua University); Guoliang Li (Tsinghua University)*; Wei Zhou (Xiamen University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">272 | Federated Trajectory Similarity Learning with Privacy-Preserving Clustering<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Hao Miao (Aalborg University)*; Ziqiao Liu (UESTC); Yan Zhao (Aalborg University); Kai Zheng (University of Electronic Science and Technology of China); Yupu Zhang (University of Electronic Science and Technology of China); Christian S. Jensen (Aalborg University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cf426a6 e-flex e-con-boxed e-con e-parent\" data-id=\"cf426a6\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dba5346 elementor-widget elementor-widget-text-editor\" data-id=\"dba5346\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>6.6: Crowdsourcing for Data Management<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0cc3a71 e-flex e-con-boxed e-con e-parent\" data-id=\"0cc3a71\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-db86d5b elementor-widget elementor-widget-text-editor\" data-id=\"db86d5b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 21 (Wed) 16:40 \u2013 18:10\u00a0 @Y 306<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Xuan Luo (York University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">475 | Effective Task Assignment in Mobility Prediction-Aware Spatial Crowdsourcing\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yafei Li (Zhengzhou University)*; Huiling Li (Zhengzhou University); Wei Chen (Zhengzhou University); Shuo He (Zhengzhou University); Mingliang Xu (Zhengzhou University); Jianliang Xu (Hong Kong Baptist University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">443 | Online Federated Learning on Distributed <a>\\\\Unknown Data Using UAVs<\/a><\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xichong Zhang (University of Science and Technology of China); Mingjun Xiao (University of Science and Technology of China)*; Yin Xu (University of Science and Technology of China); Jinrui Zhou (University of Science and Technology of China); Haotian Xu (University of Science and Technology of China); Jie Wu (Temple <a>University)<\/a><\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1337 | Joint Dependency and Conflicting Task Allocation in Collaboration-aware Spatial Crowdsourcing\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jiajun Yao (Hong Kong University of Science and Technology (Guangzhou))*; Lei Yang (South China University of Technology); Hao Liu (Hong Kong University of Science and Technology (Guangzhou)); Hui Xiong (Hong Kong University of Science and Technology (Guangzhou))<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">241 | DATA-WA: Demand-based Adaptive Task Assignment with Dynamic Worker Availability Windows\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jinwen Chen (University of Electronic Science and Technology of China)*; Jiannan Guo (China Mobile Cloud Centre); Dazhuo Qiu (Aalborg University); Yawen Li (BUPT); GUANHUA YE (Beijing University of Posts and Telecommunications); Yan Zhao (Aalborg University); Kai Zheng (University of Electronic Science and Technology of China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">985 | Optimizing Multi-Center Collaboration for Task Assignment in Spatial Crowdsourcing\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ximu Zeng (University of Electronic Science and Technology of China); lin jx (University of Electronic Science and Technology of China); Liwei Deng (University of Electronic Science and Technology of China); Yuchen Fang (University of Electronic Science and Technology of China); Yan Zhao (Aalborg University)*; Kai Zheng (University of Electronic Science and Technology of China)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e9c8e26 e-flex e-con-boxed e-con e-parent\" data-id=\"e9c8e26\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-38b8026 elementor-widget elementor-widget-text-editor\" data-id=\"38b8026\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>7.2: Data Stream Systems and Edge Computing I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-dd1b638 e-flex e-con-boxed e-con e-parent\" data-id=\"dd1b638\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3d2a506 elementor-widget elementor-widget-text-editor\" data-id=\"3d2a506\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 11:30 \u2013 13:00\u00a0 @Y 302<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Matthias Weidlich (Humboldt-Universit\u00e4t zu Berlin (HU))<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1324 | Learning from the Past: Adaptive Parallelism Tuning for Stream Processing Systems\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuxing Han (ByteDance)*; Lixiang Chen (Bytedance); Haoyu Wang (ByteDance); Zhanghao Chen (ByteDance Inc.); YiFan Zhang (ByteDance); Chengcheng Yang (East China Normal University); Kongzhang Hao (UNSW); Zhengyi Yang (University of New South Wales)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">721 | BFES: Towards Optimal Bayesian Frequency Estimation Sketches in Data-Streams<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Francesco Da Dalt (ETH <a>Z<\/a><\/span><span style=\"font-size: 10pt;font-family: DengXian\">\u00fc<\/span><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">rich)*; <\/span><span class=\"MsoCommentReference\"><span lang=\"EN-US\" style=\"font-size: 8pt\"><a id=\"_anchor_1\" class=\"msocomanchor\" href=\"#_msocom_1\" name=\"_msoanchor_1\">[1i1]<\/a>\u00a0<\/span><\/span><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Adrian Perrig (ETH Zurich)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1477 | Towards Fine-Grained Scalability for Stateful Stream Processing Systems\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yunfan Qing (Shanghai JiaoTong University); Wenli Zheng ( Shanghai JiaoTong University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">453 | FreewayML: An Adaptive and Stable Streaming Learning Framework for Dynamic Data Streams<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zheng Qin (Institute of Software, Chinese Academy of Sciences)*; Zheheng Liang (Information Center, Guangdong Power Grid Limited Liability Company); Lijie Xu (ETH Zurich); Wentao Wu (Microsoft Research); Mingchao Wu (Institute of Software, Chinese Academy of Sciences); Wuqiang Shen (Information Center, Guangdong Power Grid Limited Liability Company); Wei Wang (Institute of Software, Chinese Academy of Sciences)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">304 | Chameleon: Adaptive and Scalable Stream Processing Over Sensor Sources\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Dimitrios Giouroukis (BIFOLD, TU Berlin)*; Varun Pandey (BIFOLD, TU Berlin); Steffen Zeuch (TU Berlin); Volker Markl (Technische <a>Universit\u00e4t Berlin)<\/a><\/span><span class=\"MsoCommentReference\"><span lang=\"EN-US\" style=\"font-size: 8pt\"><a id=\"_anchor_2\" class=\"msocomanchor\" href=\"#_msocom_2\" name=\"_msoanchor_2\"><\/a><\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6d7a881 e-flex e-con-boxed e-con e-parent\" data-id=\"6d7a881\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3ed4051 elementor-widget elementor-widget-text-editor\" data-id=\"3ed4051\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>7.3: Graph Learning and Mining V<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6741303 e-flex e-con-boxed e-con e-parent\" data-id=\"6741303\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bd4c97b elementor-widget elementor-widget-text-editor\" data-id=\"bd4c97b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 11:30 \u2013 13:00\u00a0 @Y 303<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Kai Wang (Shanghai Jiao Tong University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">276 | An Efficient Memoization Engine for Concurrent Graph Query Processing\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Sen Gao (National University of Singapore)*; Shengliang Lu (National University of Singapore); Shixuan Sun (Shanghai Jiao Tong University); Yuchen Li (Singapore Management University); Bingsheng He (National University of Singapore)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1664 | Effective and Scalable Heterogeneous Graph Neural Network Framework with Convolution-oriented Attention<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ziqian Zhang (Tsinghua University)*; Chaokun Wang (Tsinghua University); Shuwen Zheng (Tsinghua University); Cheng Wu (Tsinghua University); Ziyang Liu (Tsinghua University); Hao Feng (Tsinghua University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">124 | HINSCAN: Efficient Structural Graph Clustering over Heterogeneous Information Networks<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Long Yuan (Nanjing University of Science and Technology)*; Xiaotong Sun (Nanjing University Of Science And Technology); Zi Chen (Nanjing University of Aeronautics and Astronautics); Peng Cheng (East China Normal University); Longbin Lai (Alibaba Group); Xuemin Lin (Shanghai Jiaotong University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">184 | Time-aware Influence Minimization via Blocking Social Networks\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xueqin Chang (Zhejiang University); Jiajie Fu (Zhejiang University); Qing Liu (Zhejiang University); Yunjun Gao (Zhejiang University)*; Baihua Zheng (Singapore Management University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">214 | Most Probable Maximum Weighted Butterfly Search<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yu Shao (East China Normal University); Peng Cheng (East China Normal University)*; Longbin Lai (Alibaba Group); Long Yuan (Nanjing University of Science and Technology); Wangze Ni (Hong Kong University of Science and Technology); Xuemin Lin (Shanghai Jiaotong University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-71563ca e-flex e-con-boxed e-con e-parent\" data-id=\"71563ca\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0165ccc elementor-widget elementor-widget-text-editor\" data-id=\"0165ccc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>7.4: IoT Data Management<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-39c37f9 e-flex e-con-boxed e-con e-parent\" data-id=\"39c37f9\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-658de95 elementor-widget elementor-widget-text-editor\" data-id=\"658de95\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 11:30 \u2013 13:00\u00a0 @Y 304<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Hongzhi Wang (Harbin Institute of Technology)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">266 | TempSched: A Temperature-Aware Storage Scheduler for Time Series Across Cloud-Edge-Device\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Shuangshuang Cui (Harbin Institute of Technology); Hongzhi Wang (Harbin Institute of Technology)*; Xianglong Liu (Harbin Institute of Technology); Xiaoou Ding (Harbin Institute of Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">37 | Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Wenyi Liang (University of Science and Technology of China); Jianchun Liu ( University of Science and Technology of China); Hongli Xu (University of Science and Technology of China)*; Chunming Qiao (University at Buffalo); Liusheng Huang (University of Science and Technology of China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">832 | tDCDiscover: Mining Threshold Denial Constraints from Time Series Data\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xiaoou Ding (Harbin Institute of Technology); Zhou Muyun (Harbin Institute of Technology); Yida Liu (Harbin Institute of Technology); Zekai Qian (Harbin Institute of technology); Chen Wang ( Tsinghua University, China); Hongzhi Wang (Harbin Institute of Technology)*; Jianmin Wang (Tsinghua University, China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">296 | Collaborative Imputation for Multivariate Time Series with Convergence Guarantee\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yu Sun (Nankai University); Xinyu Yang (Nankai University); Shaoxu Song (Tsinghua University)*; Ying ZHANG (Nankai Univeristy); Xiaojie Yuan (Nankai Univeristy)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">147 | Incremental Stream Query Placement in Massively Distributed and Volatile Infrastructures\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ankit Chaudhary (Technische Universit\u00e4t Berlin)*; Kaustubh Beedkar (Indian Institute of Technology Delhi); Jeyhun Karimov (Ververica); Felix Lang (TU Berlin); Steffen Zeuch (TU Berlin); Volker Markl (Technische Universit\u00e4t Berlin)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-43dcade e-flex e-con-boxed e-con e-parent\" data-id=\"43dcade\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0acf150 elementor-widget elementor-widget-text-editor\" data-id=\"0acf150\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>7.5: Spatial Databases and Temporal Databases I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c59c997 e-flex e-con-boxed e-con e-parent\" data-id=\"c59c997\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-78b70a7 elementor-widget elementor-widget-text-editor\" data-id=\"78b70a7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 11:30 \u2013 13:00\u00a0 @Y 305<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Fengmei Jin (The Hong Kong Polytechnic University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1101 | Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yiming Niu (Beihang University); Jinliang Deng (University of Technology Sydney); Lulu Zhang (BUAA); Zimu Zhou (City University of Hong Kong); Yongxin Tong (Beihang University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1157 | A Just-In-Time Framework for Routing-Oriented Traffic Prediction\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jing ZHAO (HKUST)*; Lei Li (The Hong Kong University of Science and Technology (Guang Zhou)); Mengxuan Zhang (Australian National University); Haolun Ma (Hong Kong University of Science and Technology); Xiaofang Zhou (The Hong Kong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1203 | Ultra-Flexible, Explainable, and Scalable Traffic Prediction with Dynamic Future Routes<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zizhuo Xu (The Hong Kong University of Science and Technology)*; Lei Li (The Hong Kong University of Science and Technology (Guang Zhou)); Mengxuan Zhang (Australian National University); Yehong Xu (Hongkong university of science and technology); Xiaofang Zhou (The Hong Kong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1376 | AdaMove: Efficient Test-Time Adaptation for Human Mobility Prediction\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Huaxu Han (Beijing Institute of Technology); Shuliang Wang (Beijing Institute of Technology); Sijie Ruan (Beijing Institute of Technology)*; Qianyu Yang (Beijing Institute of Technology); Yuxuan Liang (HKUST (GZ)); Ziqiang Yuan (Beijing Institute of Technology); Cheng Long (Nanyang Technological University); Hanning Yuan (Beijing Institute of Technology); Yu Zheng (JD Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">284 | Exact and Efficient Similar Subtrajectory Search: Integrating Constraints and Simplification\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Liwei Deng (University of Electronic Science and Technology of China); fei wang (University of Electronic Science and Technology of China); Tianfu Wang (University of Science and Technology of China); Yan Zhao (Aalborg University); Yuyang Xia (University of Electronic Science and Technology of China); Kai Zheng (University of Electronic Science and Technology of China)*<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-72d29f5 e-flex e-con-boxed e-con e-parent\" data-id=\"72d29f5\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c199329 elementor-widget elementor-widget-text-editor\" data-id=\"c199329\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>7.6: Uncertain Databases, Graphs and Streaming<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cf98cde e-flex e-con-boxed e-con e-parent\" data-id=\"cf98cde\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-261ed39 elementor-widget elementor-widget-text-editor\" data-id=\"261ed39\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 11:30 \u2013 13:00\u00a0 @Y 306<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Wenjie Zhang (The University of New South Wales, Australia)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1149 | The <a>SpaceSaving<\/a><\/span><\/b><b><span style=\"font-size: 10pt;font-family: DengXian\">\u00b1<\/span><\/b><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\"> Family <\/span><\/b><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">of Algorithms for Data Streams with Bounded Deletions\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Fuheng Zhao (UCSB)*; Divy Agrawal (University of California, Santa Barbara); Amr El Abbadi (UC Santa Barbara); claire mathieu (cnrs); Ahmed Metwally (Uber); Michel de Rougemont (University Paris II)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">60 | HourglassSketch: An Efficient and Scalable Framework for Graph Stream Summarization<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jiarui Guo (Peking University)*; Boxuan Chen (Peking University); Kaicheng Yang (Peking University); Tong Yang (Peking University); Zirui Liu (Peking University); Qiuheng Yin (PKU); Sha Wang (National University of Defense Technology); Yuhan Wu (Peking University); Xiaolin Wang (Peking University ); Bin Cui (Peking University); Tao Li (National University of Defense Technology); Xi Peng (Huawei Technologies Co., Ltd.); Renhai Chen (Tianjin Universtiy and Huawei); Gong Zhang (Huawei)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">290 | Effective and General Distance Computation for Approximate Nearest Neighbor Search<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Mingyu Yang (The Hong Kong University of Science and Technology (Guangzhou))*; Wentao Li (University of Leicester); jin jiabao (AntGroup); Xiaoyao Zhong (Ant Group); Xiangyu Wang (Ant Group); Zhitao Shen (Ant Group); wei jia (antgroup); Wei Wang (Hong Kong University of Science and Technology (Guangzhou))<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1035 | TardySketch: A Framework for Cardinality Estimation Adaptable to Sliding Windows<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xuyang Jing (Xidian University); Qinghua Cao (Xidian university); Chenhao Zhang (Xidian University); Zheng Yan (Xidian University)*; Wenxiu Ding (Xidian University); Witold Pedrycz (University of Alberta); Pu Wang (Chinese Academy of Cyberspace Studies)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1069 | Hypersistent Sketch: Enhanced Persistence Estimation via Fast Item Separation\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Lu Cao (Harbin Institute of Technology, Shenzhe<a>n, China<\/a><\/span><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">); Qilong Shi (Tsinghua University); Weiqiang Xiao (Harbin Institute of Technology, Shenzhen, China); Nianfu Wang (Harbin Institute of Technology); Wenjun Li (Peng Cheng Laboratory)*; Zhijun Li (Harbin Institute of Technology); Weizhe Zhang (Harbin Institute of Technology, China); Mingwei Xu (Tsinghua University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-41bf01e e-flex e-con-boxed e-con e-parent\" data-id=\"41bf01e\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c2b84b9 elementor-widget elementor-widget-text-editor\" data-id=\"c2b84b9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>8.2: Data Stream Systems and Edge Computing II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c603d11 e-flex e-con-boxed e-con e-parent\" data-id=\"c603d11\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f83feec elementor-widget elementor-widget-text-editor\" data-id=\"f83feec\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 14:30 \u2013 16:00\u00a0 @Y 302<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Siqiang Luo (Nanyang Technological University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">234 | DAG*: A Novel A*-alike Algorithm for Optimal Workflow Execution across IoT Platforms<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Errikos Streviniotis (Technical University of Crete)*; Dimitrios Banelas (Technical University of Crete); Nikos Giatrakos (Technical University of Crete); Antonios Deligiannakis (Technical University of Crete)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">27 | Learnable Sparse Customization in Heterogeneous Edge Computing\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jingjing Xue (Institute of Computing Technology, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences)*; Sheng Sun (Institute of Computing Technology, Chinese Academy of Sciences); Min Liu (Institute of Computing Technology, Chinese Academy of Sciences); yuwei Wang (Institute of Computing Technology Chinese Academy of Sciences); Zhuotao Liu (Tsinghua University); Jingyuan Wang (Beihang University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">817 | Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jongha Lee (Korea Advanced Institute of Science and Technology (KAIST)); Taehyung Kwon (KAIST); Heechan Moon (KAIST); Kijung Shin (KAIST)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1338 | LSM-Community: A Graph Storage System Exploiting Community Structure in Social Networks\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Songyao Wang (School of Software Tsinghua University)*; Chaokun Wang (Tsinghua University); niu fang (Tsinghua University); Cheng Wu (Tsinghua University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">103 | DaVinci Sketch: A Versatile Sketch for Efficient and Comprehensive Set Measurements\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yanshu Wang (Peking University )*; Jianan Ji (Carnegie Mellon University); Chao-Hsuan Liu (East China Normal University); Hengyang Zhou (cupk); Tong Yang (Peking University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fa4f135 e-flex e-con-boxed e-con e-parent\" data-id=\"fa4f135\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6549bcd elementor-widget elementor-widget-text-editor\" data-id=\"6549bcd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>8.3: Graph Structure Analytics I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f5a6228 e-flex e-con-boxed e-con e-parent\" data-id=\"f5a6228\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a09d007 elementor-widget elementor-widget-text-editor\" data-id=\"a09d007\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 14:30 \u2013 16:00\u00a0 @Y 303<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Lijun Chang (The University of Sydney)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">437 | DyFMVP: Say Goodbye to Staleness! Fresh Memory Vigorous Preserver for Continuous-Time Dynamic Graph\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jianye Pang (Alibaba Group)*; XINJIE ZHU (Alibaba International Digital Commerce Group); Xiaofei Xiong (Alibaba)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">264 | GFlux: A fast GPU-based out-of-memory multi-hop query processing framework for trillion-edge graphs\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Seyeon Oh (DGIST)*; Heeyong Yoon (DGIST); Donghyoung Han (GraphAI); Min-Soo Kim (KAIST)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1038 | A Sketch Propagation Framework for Hub Queries on Unmaterialized Relational Graphs<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yudong Niu (Singapore Management University)*; Yuchen Li (Singapore Management University); Panagiotis Karras (University of Copenhagen); Yanhao Wang (East China Normal University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1397 | Identifying Maximum Defective Bicliques in Large Bipartite Graphs\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhiyi Wang (The University of Sydney); Lijun Chang (The University of Sydney)*; Jeffrey Yu (The Chinese University of Hong Kong)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1510 | Efficient Core Propagation based Hierarchical Graph Clustering\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jinbin Huang (Hong Kong Baptist University)*; Zihan Jia (Hong Kong Baptist University); Xin Huang (Hong Kong Baptist University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2298022 e-flex e-con-boxed e-con e-parent\" data-id=\"2298022\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a681c04 elementor-widget elementor-widget-text-editor\" data-id=\"a681c04\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>8.4: Graph queries, entity alignment and learning I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4b51ee2 e-flex e-con-boxed e-con e-parent\" data-id=\"4b51ee2\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-91569bf elementor-widget elementor-widget-text-editor\" data-id=\"91569bf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 14:30 \u2013 16:00\u00a0 @Y 304<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Jianye Yang (Guangzhou University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">661 | A Translation-based Heterogeneous Graph Neural Network for Multiple Knowledge Graphs Alignment\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yaming Yang (Xidian University)*; Zhuofeng Luo (Xidian University); Zhe Wang (Xidian University); Weigang Lu (Xidian University); Yiheng Lu (Xidian University); Ziyu Guan (Xidian University); Wei Zhao (Xidian University); Yuanhai Lv (Xi&#8217;an University of Posts and Telecommunications)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1153 | Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jinchuan Zhang (University of Electronic Science and Technology of China)*; sun ming (School of Computer Science and Engineering,University of Electronic Science and Technology of China); Chong Mu (University of Electronic Science and Technology of China); JinHao Zhang (uestc); Quanjiang Guo (University of Electronic Science and Technology of China); Ling Tian (University of Electronic Science and Technology of China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">434 | SIT: Selective Incremental Training for Dynamic Knowledge Graph Embedding\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhifeng Jia (Hong Kong University of Science and Technology)*; Hanmo Liu (Hong Kong University of Science and Technology); Haoyang LI (The Hong Kong Polytechnic University (PolyU)); Lei Chen (Hong Kong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">664 | Enhancing Large-scale Entity Alignment with Critical Structure and High-quality Context<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Qian Zhou (Soochow University); Wei Chen (Soochow University)*; Li Zhang (Soochow University); Pengpeng Zhao (Soochow University); Jiajie Xu (Soochow University); Lei Zhao (Soochow University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">72 | CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Shangfei Zheng (Zhejiang Sci-Tech University)*; Hongzhi Yin (The University of Queensland); Tong Chen (The University of Queensland); Xiangjie Kong (Zhejiang University of Technology); Jian Hou (Zhejiang Sci-Tech University); Pengpeng Zhao (Soochow University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c604585 e-flex e-con-boxed e-con e-parent\" data-id=\"c604585\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f65974f elementor-widget elementor-widget-text-editor\" data-id=\"f65974f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>8.5: Spatial Databases and Temporal Databases II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-79b67f6 e-flex e-con-boxed e-con e-parent\" data-id=\"79b67f6\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a061c4e elementor-widget elementor-widget-text-editor\" data-id=\"a061c4e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 14:30 \u2013 16:00\u00a0 @Y 305<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Tsz Nam Chan (Shenzhen University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1152 | Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Chenxi Liu (Nanyang Technological University)*; Hao Miao (Aalborg University); Qianxiong Xu (Nanyang Technological University); Shaowen Zhou (Nanyang Technological University); Cheng Long (Nanyang Technological University); Yan Zhao (Aalborg University); Ziyue Li (University of Cologne); Rui Zhao (SenseTime Group Limited)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1461 | Consistency-Aware Scalable and Authenticated Learned Index for Range Query\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ningning Cui (Chang&#8217;an University); Dong Wang (Chang&#8217;an University)*; Huaijie Zhu (Sun Yat-sen University); Mo Li (Liaoning University); Jingxian Cheng (Chang&#8217;an University); Jianxin Li (Chang&#8217;an University); Xiaochun Yang (Northeastern University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">445 | Towards Dynamic Boolean Range Query over Hybrid-Storage Blockchains: A Secure and Reliably Verifiable Framework\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ningning Cui (Chang&#8217;an University)*; dong wang (Chang&#8217;an University); Jianxin Li (Edith Cowan University); Huaijie Zhu (Sun Yat-Sen University); Xiaochun Yang (Northeastern University); Jianliang Xu (Hong Kong Baptist University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">309 | High Throughput Shortest Distance Query Processing on Large Dynamic Road Networks<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xinjie Zhou (The Hong Kong University of Science and Technology)*; Mengxuan Zhang (Australian National University); Lei Li (The Hong Kong University of Science and Technology (Guang Zhou)); Xiaofang Zhou (The Hong Kong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1080 | Timestamp Approximate Nearest Neighbor Search over High-Dimensional Vector Data<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuxiang Wang (Beihang University); Ziyuan He (Beihang University); Yongxin Tong (Beihang University)*; Zimu Zhou (City University of Hong Kong); Yiman Zhong (Beihang University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3bcacdf e-flex e-con-boxed e-con e-parent\" data-id=\"3bcacdf\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1e94c0f elementor-widget elementor-widget-text-editor\" data-id=\"1e94c0f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>8.6: Workflows Management and Scientific Data Management<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d1babce e-flex e-con-boxed e-con e-parent\" data-id=\"d1babce\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9e6a658 elementor-widget elementor-widget-text-editor\" data-id=\"9e6a658\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 14:30 \u2013 16:00\u00a0 @Y 306<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Peng Cheng (Tongji University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">313 | Updating an Adaptive Spatial Index\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Fatemeh Zardbani (Aarhus University); Konstantinos Lampropoulos (University of Ioannina); Nikos Mamoulis (University of Ioannina); Panagiotis Karras (University of Copenhagen)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">180 | Dataset Discovery via Line Charts\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Daomin Ji (RMIT); Hui Luo (University of Wollongong); Zhifeng Bao (RMIT University)*; Shane Culpepper (The University of Queensland)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">987 | OSTOR: Online Scheduling Framework for Trading Continuous Queries<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jin Cheng (The Chinese University of Hong Kong, Shenzhen)*; Ningning Ding (Hong Kong University of Science and Technology (Guangzhou)); John C. S. Lui (The Chinese University of Hong Kong); Jianwei Huang (The Chinese University of Hong Kong, Shenzhen)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1387 | TspSZ: An Efficient Parallel Error-Bounded Lossy Compressor for Topological Skeleton Preservation<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Mingze Xia (University of Kentucky); Bei Wang (The University of Utah); Yuxiao Li (The Ohio State University); Pu Jiao (University of Kentucky); Xin Liang (University of Kentucky)*; Hanqi Guo (The Ohio State University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">78 | SOUND: Sanity Checking of Pipelines for Uncertain and Sparse Data Series\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Hermann Stolte (Humboldt-Universit\u00e4t zu Berlin)*; Iftach Sadeh (DESY); Elisa Pueschel (Ruhr University Bochum); Avigdor Gal (Technion &#8212; Israel Institute of Technology); Matthias Weidlich (Humboldt-Universit\u00e4t zu Berlin)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bffb4e0 e-flex e-con-boxed e-con e-parent\" data-id=\"bffb4e0\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c180fa5 elementor-widget elementor-widget-text-editor\" data-id=\"c180fa5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>9.2: Database Security and Privacy I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-655b95d e-flex e-con-boxed e-con e-parent\" data-id=\"655b95d\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ed753cd elementor-widget elementor-widget-text-editor\" data-id=\"ed753cd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 16:30 \u2013 18:00\u00a0 @Y 302<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Qingqing Ye (The Hong Kong Polytechnic University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1190 | Differentially Private Triangle Counting Assisted by k-Anonymity in Two-Party Models<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Tingxuan Han (Nanjing University)*; Wei Tong (Nanjing University); Sheng Zhong (Nanjing University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">274 | Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">He Xi (Macau University of Science and Technology); Kai Huang (Macau University of Science and Technology)*; Qingqing Ye (Hong Kong Polytechnic University); Haibo Hu (Hong Kong Polytechnic University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">534 | Towards Learning on Vertically Partitioned Data with Distributed Differential Privacy\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ergute Bao (National University of Singapore)*; Fei Wei (Alibaba Group); Yin Yang (Hamad bin Khalifa University); Xiaokui Xiao (National University of Singapore); Tianyu Pang (Sea AI Lab); Chao Du (Sea AI Lab)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1311 | Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Rong Du (PolyU)*; Qingqing Ye (Hong Kong Polytechnic University); Yaxin XIAO (The Hong Kong Polytechnic University); Liantong YU (The Hong Kong Polytechnic University); Yue Fu (The Hong Kong Polytechnic University); Haibo Hu (Hong Kong Polytechnic University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1327 | Multi-class Item Mining under Local Differential Privacy<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yulian MAO (SUSTech &amp; PolyU)*; Qingqing Ye (Hong Kong Polytechnic University); Rong Du (PolyU); Qi Wang (Southern University of Science and Technology); Kai Huang (Macau University of Science and Technology); Haibo Hu (Hong Kong Polytechnic University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-20cd085 e-flex e-con-boxed e-con e-parent\" data-id=\"20cd085\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-72fcf4a elementor-widget elementor-widget-text-editor\" data-id=\"72fcf4a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>9.3: Graph Structure Analytics II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2ee814f e-flex e-con-boxed e-con e-parent\" data-id=\"2ee814f\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0decab2 elementor-widget elementor-widget-text-editor\" data-id=\"0decab2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 16:30 \u2013 18:00\u00a0 @Y 303<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Chenhao Ma (The Chinese University of Hong Kong, Shenzhen)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1211 | Finding Near-Optimal Maximum Set of Disjoint $k$-Cliques in Real-World Social Networks\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Wenqing Lin (Tencent)*; Xin CHEN (The Chinese University of Hong Kong); Haoxuan Xie (Nanyang Technological University); Sibo Wang (The Chinese University of Hong Kong); Siqiang Luo (Nanyang Technological University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">288 | Maximal Similar-weight Biclique Enumeration for Large Bipartite Graphs\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jianye Yang (Guangzhou University)*; Lei Xing (Guangzhou University); Ziyi Ma (Hebei University of Technology); Xi Luo (Guangzhou University); Cuiyun Gao (Harbin Institute of Technology); Xuemin Lin (Shanghai Jiaotong University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">728 | Efficient Frequency-Aware k-Core Query on Temporal Graphs<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhongfan Du (Wuhan University); Ming Zhong (Wuhan University)*; Yuanyuan Zhu (Wuhan University); Tieyun Qian (Wuhan University); Mengchi Liu (Carleton University); Jeffrey Xu Yu (Chinese University of Hong Kong)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">341 | CuckooGraph: A Scalable and Space-Time Efficient Data Structure for Large-Scale Dynamic Graphs\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhuochen Fan (Peking University)*; Yalun Cai (Peking University); Zirui Liu (Peking University); Jiarui Guo (Peking University); Xin Fan (Wuhan University); Tong Yang (Peking University); Bin Cui (Peking University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">277 | TeMatch: A Fast Temporal Subgraph Matching Framework with Temporal-Aware Subgraph Matching Algorithms\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Chengying Huan (Institute of Software, Chinese Academy of Sciences)*; Heng Zhang (Institute of Software, Chinese Academy of Sciences); Yongchao LIu (Ant Group); Likang Chen (Ant Group); Xuran Wang (Institute of Software, Chinese Academy of Sciences ); YongChun Jiang (Institute of Software, Chinese Academy of Sciences); Shaonan Ma (9#AISoft); Yanjun Wu (Institute of Software Chinese Academy of Sciences )<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-06319e7 e-flex e-con-boxed e-con e-parent\" data-id=\"06319e7\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-51bd925 elementor-widget elementor-widget-text-editor\" data-id=\"51bd925\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>9.4: Graph queries, entity alignment and learning II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6b16faa e-flex e-con-boxed e-con e-parent\" data-id=\"6b16faa\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c953e99 elementor-widget elementor-widget-text-editor\" data-id=\"c953e99\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 16:30 \u2013 18:00\u00a0 @Y 304<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Yixiang Fang (The Chinese University of Hong Kong, Shenzhen)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">439 | Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Filip Cornell (Gavagai AB \/ KTH Royal Institute of Technology)*; Yifei Jin (KTH Royal Institute of Technology); Jussi Karlgren (Numolo); Sarunas Girdzijauskas (KTH Royal Institute of Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">645 | LIFTus: An Adaptive Multi-aspect Column Representation Learning for Table Union Search<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ermu Qiu (Peking University); Jun Gao (Peking University)*; Yaofeng Tu (ZTE Corporation); Yang Jingru (National Key Laboratory of Data Space Technology and System)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">201 | CrossEM: A Prompt Tuning Framework for Cross-modal Entity Matching\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Qin Yuan (Beijing Institute of Technology); Ye Yuan ( Beijing Institute of Technology)*; Zhenyu Wen (Zhejiang University of Technology); Chi Chen (Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">127 | Efficient Pruning via Entailment Cardinality Estimation for Fast Top-down Logic Rule Mining\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ruoyu Wang (The University of New South Wales)*; Raymond Wong (UNSW Sydney); Daniel Sun (Newcastle University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">206 | CrossETR: A Semantic-driven Framework for Entity Matching across Images and Graph<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"text-align: start;font-size: 10pt;font-family: 'Times New Roman', serif\">Qin Yuan (Beijing Institute of Technology); Zhenyu Wen (Zhejiang University of Technology); Jiaxu Qian (Zhejiang University of Technology); Ye Yuan ( Beijing Institute of Technology)*; Guoren Wang (Beijing<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-eebae76 e-flex e-con-boxed e-con e-parent\" data-id=\"eebae76\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-13aadb6 elementor-widget elementor-widget-text-editor\" data-id=\"13aadb6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>9.5: Spatial Databases and Temporal Databases III<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b86d490 e-flex e-con-boxed e-con e-parent\" data-id=\"b86d490\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-85704b3 elementor-widget elementor-widget-text-editor\" data-id=\"85704b3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 22 (Thu) 16:30 \u2013 18:00\u00a0 @Y 305<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Lei Li (Hong Kong University of Science and Technology (Guangzhou))<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">994 | TrajEdge: An Efficient and Lightweight Trajectory Data Analysis Framework in Edge Environments\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Changhao He (Zhejiang University); Ziquan Fang (Zhejiang University); Linsen Li (Zhejiang University &amp; Hikvision Research Institute); Yunjun Gao (Zhejiang University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">375 | BOS: Bit-packing with Outlier Separation\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jinzhao Xiao (Tsinghua University); Zihan Guo (Tsinghua University); Shaoxu Song (Tsinghua University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">754 | Towards Accurate Distance Estimation for Distribution-Aware <a>c-ANN<\/a><\/span><\/b><span class=\"MsoCommentReference\"><b><span lang=\"EN-US\" style=\"font-size: 8pt\">\u00a0<\/span><\/b><\/span><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Search\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Liwei Deng (University of Electronic Science and Technology of China); Penghao Chen (University of Electronic Science and Technology of China); Ximu Zeng (University of Electronic Science and Technology of China); Yuchen Fang (University of Electronic Science and Technology of China); Jin Chen (HKUST); Yan Zhao (Aalborg University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">873 | Towards Online Spatio-Temporal Prediction: A Knowledge Distillation Driven Continual Learning Approach\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Tinghui Luo (Zhejiang University); Ziquan Fang (Zhejiang University)*; Kaixuan Duan (Zhejiang University); Lu Chen (Zhejiang University); Panpan Feng (iQiyi Inc); mingfan Lu (iqiyi)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1166 | Towards Robust Trajectory Embedding for Similarity Computation: When Triangle Inequality Violations in Distance Metrics Matter\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jianing Si (Beijing University of Posts and Telecommunications)*; Haitao Yuan (Nanyang Technological University); Nan Jiang (Beijing University of Posts and Telecommunications); Minxiao Chen (Beijing University of Posts and Telecommunications); Xiao Ma (Beijing University of Posts and Telecommunications); Shangguang Wang (State Key Laboratory of Networking and Switching Technology)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d3f89e3 e-flex e-con-boxed e-con e-parent\" data-id=\"d3f89e3\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-41d285b elementor-widget elementor-widget-text-editor\" data-id=\"41d285b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>10.1: AI4DB\/DB4AI IV<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9034d72 e-flex e-con-boxed e-con e-parent\" data-id=\"9034d72\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8336387 elementor-widget elementor-widget-text-editor\" data-id=\"8336387\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 09:00 \u2013 10:30\u00a0 @Y 301<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Jingzhi Fang (The Hong Kong University of Science and Technology)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">595 | FEATPILOT: Automatic Feature Augmentation on Tabular Data\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jiaming Liang (University of Pennslyvania)*; Chuan Lei (Amazon Web Services); Xiao Qin (Amazon); Jiani Zhang (Amazon Web Services); Asterios Katsifodimos (TU Delft); Christos Faloutsos (Amazon); Huzefa Rangwala (George Mason University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">988 | KnowTrans: Boosting Transferability of Data Preparation LLMs via Knowledge Augmentation\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuhang Ge (Zhejiang University); Fengyu Li (Zhejiang University); Yuren Mao (Zhejiang University); Yanbo Yang (Zhejiang University); Congcong Ge (Zhejiang University); Zhaoqiang Chen (Huawei Cloud Computing Technologies Co., Ltd.); Jiang Long (Zhejiang university); Yunjun Gao (Zhejiang University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">922 | Federated Data Analytics with Differentially Private Density Estimation Model\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jiayi Wang (Tsinghua University)*; Lei Cao (University of Arizona\/MIT); Chengliang Chai (Beijing Institute of Technology); Guoliang Li (Tsinghua University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">691 | leSAX Index: A Learned SAX Representation Index for Time Series Similarity Search\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Guozhong Li (King Abdullah University of Science &amp; Technology)*; Byron Choi (Hong Kong Baptist University); Rundong Zuo (Hong Kong Baptist University); Sourav S Bhowmick (Nanyang Technological University); Jianliang Xu (Hong Kong Baptist University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1251 | Structure and Position-aware Graph Modeling for Trajectory Similarity Computation over Road Networks\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"text-align: start;font-size: 10pt;font-family: 'Times New Roman', serif\">Peilun Yang (Zhejiang Lab)*; Hanchen Wang (University of New South Wales); Zhangyi Xu (Zhejiang Gongshang University); Zhengping Qian (Alibaba Cloud); Yongheng Wang (Zhejiang Lab); Ying Zhang (University of Technology Sydney)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-488ea31 e-flex e-con-boxed e-con e-parent\" data-id=\"488ea31\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5d23f58 elementor-widget elementor-widget-text-editor\" data-id=\"5d23f58\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>10.2: Database Security and Privacy II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d3cffa0 e-flex e-con-boxed e-con e-parent\" data-id=\"d3cffa0\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-14be725 elementor-widget elementor-widget-text-editor\" data-id=\"14be725\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 09:00 \u2013 10:30\u00a0 @Y 302<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Chang Ge (University of Minnesota)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1450 | Privacy-Preserving Screening for Record Linkage\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Chenyu Huang (Tencent Inc.)*; Fan Zhang (Tencent Inc.); Huangxun Chen (Hong Kong University of Science and Technology (Guangzhou)); Yongjun Zhao (Independent Researcher); Huaming Rao (Tencent Inc.); Peng Chen (Tencent Inc.); Danqing Huang (Tencent Inc.)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">807 | GCON: Differentially Private Graph Convolutional Network via Objective Perturbation<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jianxin Wei (National University of Singapore)*; Yizheng Zhu (National University of Singapore); Xiaokui Xiao (National University of Singapore); Ergute Bao (National University of Singapore); Yin Yang (Hamad bin Khalifa University); Kuntai Cai (National University of Singapore); Beng Chin Ooi (NUS)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1293 | Analyzing and Optimizing Perturbation of DP-SGD Geometrically<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jiawei Duan (The Hong Kong Polytechnic University)*; Haibo Hu (Hong Kong Polytechnic University); Qingqing Ye (Hong Kong Polytechnic University); Xinyue Sun (Harbin Institute of Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">211 | Spatial Numerical Distribution Estimation under Local Differential Privacy<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Leilei Du (East China Normal University); Peng Cheng (East China Normal University)*; Libin Zheng (Sun Yat-sen University); Xiang Lian (Kent State University); Lei Chen (Hong Kong University of Science and Technology); Wei Xi (Xi&#8217;an Jiaotong University); Wangze Ni (Hong Kong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1302 | PrivIM: Differentially Private Graph Neural Networks for Influence Maximization\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"text-align: start;font-size: 10pt;font-family: 'Times New Roman', serif\">Renxuan Hou (The Hong Kong Polytechnic University)*; Qingqing Ye (Hong Kong Polytechnic University); Xun Ran (The Hong Kong Polytechnic University (PolyU)); Sen Zhang (The Hong Kong Polytechnic University); Haibo Hu (Hong Kong Polytechnic University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-dfd32f5 e-flex e-con-boxed e-con e-parent\" data-id=\"dfd32f5\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-02cdc42 elementor-widget elementor-widget-text-editor\" data-id=\"02cdc42\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>10.3: Graph Structure Analytics III<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-71c2594 e-flex e-con-boxed e-con e-parent\" data-id=\"71c2594\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bc138fd elementor-widget elementor-widget-text-editor\" data-id=\"bc138fd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 09:00 \u2013 10:30\u00a0 @Y 303<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Zhengyi Yang (The University of New South Wales)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">311 | PILOS: Scalable Subgraph Matching by Online Spectral Filtering\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Konstantinos Skitsas (Aarhus University); Davide Mottin (Aarhus University); Panagiotis Karras (University of Copenhagen)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1353 | Efficient Temporal Simple Path Graph Generation\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhiyang Tang (Zhejiang Gongshang University); Yanping Wu (University of Technology Sydney)*; Xiangjun Zai (University of New South Wales); Chen Chen (University of Wollongong); Xiaoyang Wang (University of New South Wales); Ying Zhang (University of Technology Sydney)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">871 | Efficient k-Truss Breaking and Minimization\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ruicheng Zhu (Shanghai Jiao Tong University); Xintong Wang (Zhejiang University); Kai Wang (Shanghai Jiao Tong University)*; Fan Zhang (Guangzhou University); Zhengping Qian (Alibaba Cloud); Long Yuan (Nanjing University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">212 | Accelerating D-core Maintenance over Dynamic Directed Graphs\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xuankun Liao (Hong Kong Baptist University); Qing Liu (Zhejiang University); Jiaxin Jiang (National University of Singapore); Byron Choi (Hong Kong Baptist University); Bingsheng He (National University of Singapore); Jianliang Xu (Hong Kong Baptist University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1119 | Efficient Maximum Balanced k-biplex Search over Bipartite Graphs\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Long Yuan (Nanjing University of Science and Technology)*; Junyue Xu (Nanjing University of Science and Technology); Zi Chen (Nanjing University of Aeronautics and Astronautics); Chuan Ma (Chongqing University); Jianqiu Xu (Nanjing University of Aeronautics and Astronautics); Lu Qin (UTS)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9bf0841 e-flex e-con-boxed e-con e-parent\" data-id=\"9bf0841\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7f15cd0 elementor-widget elementor-widget-text-editor\" data-id=\"7f15cd0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>10.4: Graph queries, entity alignment and learning III<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6294abd e-flex e-con-boxed e-con e-parent\" data-id=\"6294abd\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f318871 elementor-widget elementor-widget-text-editor\" data-id=\"f318871\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 09:00 \u2013 10:30\u00a0 @Y 304<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Jieming Shi (The Hong Kong Polytechnic University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1467 |Towards Unsupervised Entity Alignment for Highly Heterogeneous Knowledge Graphs<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Runhao Zhao (National University of Defense Technology); Zeng Weixin (National University of Defense Technology); Jiuyang Tang (National University of Defense Technology); Yawen Li (Beijing University of Posts and Telecommunications); Guanhua Ye (Beijing University of Posts and Telecommunications); Junping Du (Beijing University of Posts and Telecommunications); Xiang Zhao (National University of Defense Technology)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">918 | Efficient Execution of SPARQL Queries with OPTIONAL and UNION Expressions<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yue Pang (Peking University)*; Lei Zou (Peking University); M. Tamer \u00d6<a>zsu <\/a><\/span><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">(University of Waterloo); Jiaqi Chen (Peking University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">315 | Description-Similarity Rules: Flexible Feature Engineering for Entity Matching\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yafeng Tang (Harbin Institute of Technology); Zheng Liang (Harbin Institute of Technology); Hongzhi Wang (Harbin Institute of Technology)*; Xiaoou Ding (Harbin Institute of Technology); TianYu Mu (Harbin Institute of Technology); Huan Hu (Huawei Cloud Computing)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">318 | Trail: A Knowledge Graph-based Approach for Attributing Advanced Persistent Threats<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Isaiah J. King (The George Washington University)*; Ramiro Ramirez (Cybermonic); Benjamin Bowman (Cybermonic); H. Howie Huang (The George Washington University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4b32aaf e-flex e-con-boxed e-con e-parent\" data-id=\"4b32aaf\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-057d1b6 elementor-widget elementor-widget-text-editor\" data-id=\"057d1b6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>10.5: Spatial Databases and Temporal Databases IV<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-343997c e-flex e-con-boxed e-con e-parent\" data-id=\"343997c\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cea184d elementor-widget elementor-widget-text-editor\" data-id=\"cea184d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 09:00 \u2013 10:30\u00a0 @Y 305<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Michael Yu (The Chinese University of Hong Kong)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1396 | Compatible Unsupervised Anomaly Detection with Multi-Perspective Spatio-Temporal Learning<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Tingyang Chen (Huazhong University of Science and Technology ); Bolong Zheng (Huazhong University of Science and Technology)*; Shuncheng Liu (Huawei); Zhujiong Fan (Huazhong University of Science and Technology ); Zhi Xu (Huawei); Lingsen Yan (Huazhong University of Science and Technology ); Kai Zeng (Huawei); Tao Ye (Huawei); Xiaofang Zhou (The Hong Kong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">227 | Self-supervised Trajectory Representation Learning with Multi-scale Spatio-temporal Feature Exploration\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Hong Xia (Ocean University of China); Xiao Zhang (Ocean University of China); Yuan Cao (Ocean University of China); Lei Cao (University of Arizona\/MIT); Yanwei Yu (Ocean University of China)*; Junyu Dong (Ocean University of China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1154 | NRP: An Efficient Index for Stochastic Routing in Road Networks\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Libin Wang (Hong Kong University of Science and Technology)*; Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">170 | Having It Both Ways: Single Trajectory Embedding for Similarity Computation with Pairwise Learning\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jianing Si (Beijing University of Posts and Telecommunications)*; Haitao Yuan (Nanyang Technological University); Xiang Li (Beijing University of Posts and Telecommunications); Nan Jiang (Beijing University of Posts and Telecommunications); Xiao Ma (Beijing University of Posts and Telecommunications); Guoliang Li (Tsinghua University); Shangguang Wang (State Key Laboratory of Networking and Switching Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1267 | AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuxuan Chen (East China Normal University); Shanshan Huang (East China Normal University); Yunyao Cheng (Aalborg University); Peng Chen (East China Normal University); Zhongwen Rao (Huawei Noah&#8217;s Ark Lab); Yang Shu (East China Normal University)*; Bin Yang (East China Normal University); Lujia Pan (Huawei Noah&#8217;s Ark Lab); Chenjuan Guo (East China Normal University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-55707dc e-flex e-con-boxed e-con e-parent\" data-id=\"55707dc\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a5ef5bc elementor-widget elementor-widget-text-editor\" data-id=\"a5ef5bc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>11.1: Benchmarking, Performance Modeling, Tuning, and Testing I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ad9b93b e-flex e-con-boxed e-con e-parent\" data-id=\"ad9b93b\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a356543 elementor-widget elementor-widget-text-editor\" data-id=\"a356543\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 11:00 \u2013 12:30\u00a0 @Y 301<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Yang Cao (University of Edinburgh)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1290 | KARMAD: KAN-based Adversarial Robust Model for Anomaly Detection\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Fangke Chen (Zhejiang University); Xiaotian Qiu (Zhejiang University); Yihan Ye (Zhejiang University); ruyue Jing (Zhejiang University); Yining Chen (Zhejiang University)*; Dawei Gao (Zhejiang ICsprout Semiconductor Co.,Ltd.)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1198 | Towards a Unified Query Plan Representation\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jinsheng Ba (ETH Zurich)*; Manuel Rigger (National University of Singapore)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1420 | Online Timestamp-based Transactional Isolation Checking of Database Systems\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Hexu Li (Nanjing University); Hengfeng Wei (Nanjing University)*; Hongrong Ouyang (OceanBase); Yuxing Chen (Tencent Inc.); Na Yang (Nanjing University); Ruohao Zhang (The Chinese University of Hong Kong); Anqun Pan (Tencent Inc.)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1647 | Boosting End-to-End Database Isolation Checking via Mini-Transactions\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Hengfeng Wei (Nanjing University)*; Jiang Xiao (Nanjing University); Na Yang (Nanjing University); Si Liu (ETH Zurich); Zijing Yin (ETH Zurich); Yuxing Chen (Tencent Inc.); Anqun Pan (Tencent Inc.)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">819 | CloudyBench: A Testbed for A Comprehensive Evaluation of Cloud-Native Databases\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Chao Zhang (Renmin University of China)*; Guoliang Li (Tsinghua University); Leyao Liu (Imperial College London); Tao Lv (China Software Testing Center); Ju Fan (Renmin University of China)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8d36aa5 e-flex e-con-boxed e-con e-parent\" data-id=\"8d36aa5\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0022fbb elementor-widget elementor-widget-text-editor\" data-id=\"0022fbb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>11.2: Database Security and Privacy III<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bcf95e9 e-flex e-con-boxed e-con e-parent\" data-id=\"bcf95e9\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f779879 elementor-widget elementor-widget-text-editor\" data-id=\"f779879\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 11:00 \u2013 12:30\u00a0 @Y 302<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Long Yuan (Nanjing University of Science and Technology (NJUST))<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1305 | AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Sen Zhang (The Hong Kong Polytechnic University)*; Qingqing Ye (Hong Kong Polytechnic University); Haibo Hu (Hong Kong Polytechnic University); Jianliang Xu (Hong Kong Baptist University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">893 | Fast Private Retrieval on Key-Value Store with Multiple Values per Key\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Fangming Dong (Xi&#8217;an Jiaotong University); Pinghui Wang (Xi&#8217;an Jiaotong University)*; Yuance Wang (Xi&#8217;an Jiaotong university); Chen Zhang (Zhejiang CreateLink Technology); Lizhen Cui (ShanDong University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">369 | Structure-Preference Enabled Graph Embedding Generation under Differential Privacy\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Sen Zhang (The Hong Kong Polytechnic University)*; Qingqing Ye (Hong Kong Polytechnic University); Haibo Hu (Hong Kong Polytechnic University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">349 | Know Your Account: Double graph inference-based Account De-anonymization on Ethereum<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Shuyi Miao (buaa)*; Wangjie Qiu (Beihang university); Hongwei Zheng (Beijing academy of blockchain and edge computing ); Qinnan Zhang (Beihang University); Xiaofan Tu (Beihang university); xunan Liu (Beihang university ); yang liu (BUAA); Jin Dong (Beijing Academy of Blockchain and Edge Computing); Zhiming Zheng (Beihang University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">869 | Orthrus: Accelerating Multi-BFT Consensus through Concurrent Partial Ordering of Transactions\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"text-align: start;font-size: 10pt;font-family: 'Times New Roman', serif\">Hanzheng Lyu (University of British Columbia)*; Shaokang Xie (University of California, Davis); Jianyu Niu (Southern University of Science and Technology); Ivan Beschastnikh (University of British Columbia); Yinqian Zhang (Southern University of Science and Technology ); Mohammad Sadoghi (University of California, Davis); Chen Feng (University of British Columbia)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8aeeb64 e-flex e-con-boxed e-con e-parent\" data-id=\"8aeeb64\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-90448ef elementor-widget elementor-widget-text-editor\" data-id=\"90448ef\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>11.3: Graph Structure Analytics IV<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-cfbb170 e-flex e-con-boxed e-con e-parent\" data-id=\"cfbb170\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-48e2394 elementor-widget elementor-widget-text-editor\" data-id=\"48e2394\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 11:00 \u2013 12:30\u00a0 @Y 303<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Alexander Zhou (The Hong Kong Polytechnic University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1303 | Efficient Structural Clustering over Hypergraphs\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Dong Pan (Hunan University)*; Xu Zhou (Hunan university); Lingwei Li (Hunan University); Quanqing Xu (OceanBase, Ant Group ); Chuanhui Yang (OceanBase); Chenhao Ma (The Chinese University of Hong Kong, Shenzhen); Kenli Li (Hunan University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">802 | On Temporal-Constraint Subgraph Matching\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">xiaoyu leng (Beijing Institute of Technology); guang zeng (Ant Group); Hongchao Qin (Beijing Institute of Technology)*; Longlong Lin (Southwest University); Ronghua Li (Beijing Institute of Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">82 | Preserving K-Connectivity in Dynamic Graphs\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">GENGDA ZHAO (UNSW); Dong Wen (University of New South Wales)*; Xiaoyang Wang (University of New South Wales); Kai Wang (Shanghai Jiao Tong University); Xuemin Lin (Shanghai Jiaotong University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">663 | TDT: Tensor based Directed Truss Decomposition\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Guojing Li (Wuhan University); Yuanyuan Zhu (Wuhan University)*; Junchao Ma (Wuhan University); Ming Zhong (Wuhan University); Tieyun Qian ( Wuhan University); Jeffrey Xu Yu (The Chinese University of Hong Kong)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1283 | Space-Efficient Compact Representations for Graph Analytics<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"text-align: start;font-size: 10pt;font-family: 'Times New Roman', serif\">Boyu Yang (Fudan University); Weiguo Zheng (Fudan University)*; Xiang Lian (Kent State University); lingfei zheng (Fudan University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-14906f4 e-flex e-con-boxed e-con e-parent\" data-id=\"14906f4\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ecda643 elementor-widget elementor-widget-text-editor\" data-id=\"ecda643\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>11.4: Modern Hardware and In-Memory Database Systems I<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6c04120 e-flex e-con-boxed e-con e-parent\" data-id=\"6c04120\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-535a635 elementor-widget elementor-widget-text-editor\" data-id=\"535a635\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 11:00 \u2013 12:30\u00a0 @Y 304<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Ce Zhang (Hong Kong Baptist University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">126 | Ratel: Optimizing Holistic Data Movement to Fine-tune 100B Model on a Consumer GPU<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Changyue Liao (Zhejiang University); Mo Sun (Zhejiang University); Zihan Yang (Zhejiang University); Jun Xie (Zhejiang University); Kaiqi Chen (Zhejiang University); Binhang Yuan (HKUST); Fei Wu (Zhejiang University, China); Zeke Wang (Zhejiang University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">128 | Hyperion: Co-optimizing SSD Access and GPU Computation for Cost-efficient GNN Training\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Jie Sun (Zhejiang University)*; Mo Sun (Zhejiang University); Zheng Zhang (Purdue University); Zuocheng Shi (Zhejiang University); Jun Xie (Zhejiang University); Zihan Yang (Zhejiang University); Jie Zhang (Zhejiang University); Fei Wu (Zhejiang University, China); Zeke Wang (Zhejiang University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">172 | HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhonggen Li (Zhejiang University); Xiangyu Ke (Zhejiang University); Yifan Zhu (Zhejiang University); Yunjun Gao (Zhejiang University)*; Yaofeng Tu (ZTE Corporation)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">644 | BL-Tree: The Best of Both Worlds by Combining B+-Tree on Top and LSM-Tree on Bottom<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Suzhen Wu (XMU); Zuocheng Wang (Xiamen University); Shengzhe Wang (Xiamen University); Jiahong Chen (Xiamen University); Chunfeng Du (Xiamen University); Jie Zhang (Peking Univesity); Ke Zhou (Huazhong University of Science and Technology); Bo Mao (XMU)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">368 | More Bang For Your Buck(et): Fast and Space-efficient Hardware-accelerated Coarse-granular Indexing on GPUs\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Justus Henneberg (Johannes Gutenberg-University Mainz); Felix Schuhknecht (Johannes Gutenberg University Mainz)*; Rosina Kharal (University of Waterloo); Trevor Brown (University of Waterloo)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-315d234 e-flex e-con-boxed e-con e-parent\" data-id=\"315d234\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-574fe17 elementor-widget elementor-widget-text-editor\" data-id=\"574fe17\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>11.5: Spatial Databases and Temporal Databases V<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0ad6e6e e-flex e-con-boxed e-con e-parent\" data-id=\"0ad6e6e\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-60e1f65 elementor-widget elementor-widget-text-editor\" data-id=\"60e1f65\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 11:00 \u2013 12:30\u00a0 @Y 305<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Dingming Wu (Shenzhen University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">133 | Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Wei Tian (The Hong Kong Polytechnic University)*; Jieming Shi (The Hong Kong Polytechnic University); Man Lung Yiu (Hong Kong Polytechnic University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">208 | StructRide: A Framework to Exploit the Structure Information of Shareability Graph in Ridesharing\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhan Jiexi (East China Normal University); Yu Chen (East China Normal University); Peng Cheng (East China Normal University)*; Lei Chen (Hong Kong University of Science and Technology); Wangze Ni (Hong Kong University of Science and Technology); Xuemin Lin (Shanghai Jiaotong University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">238 | FAHL: An Efficient Labeling Index for Flow-Aware Shortest Path Querying in Road Networks\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Tangpeng Dan (Renmin University of China)*; Xiao Pan (Shijiazhuang Tiedao University); Bolong Zheng (Huazhong University of Science and Technology); Xiaofeng Meng (Renmin University of China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">57 | Large-scale Spatiotemporal Kernel Density Visualization\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Tsz Nam Chan (Shenzhen University)*; Pak Lon Ip (University of Macau); Bojian Zhu (Hong Kong Baptist University); Leong Hou U (University of Macau); Dingming Wu (Shenzhen University); Jianliang Xu (Hong Kong Baptist University); Christian S. Jensen (Aalborg University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3c172ed e-flex e-con-boxed e-con e-parent\" data-id=\"3c172ed\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-35dc667 elementor-widget elementor-widget-text-editor\" data-id=\"35dc667\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>12.1: Benchmarking, Performance Modeling, Tuning, and Testing II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-71a8fe1 e-flex e-con-boxed e-con e-parent\" data-id=\"71a8fe1\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4853501 elementor-widget elementor-widget-text-editor\" data-id=\"4853501\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 14:00 \u2013 15:30\u00a0 @Y 301<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Jianqiu Xu (Nanjing University of Aeronautics and Astronautics (NUAA))<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1437 | Understanding and Estimating Error Propagation in Neural Networks for Scientific Data Analysis\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Weiming He (New Jersey Institute of Technology)*; Qi Chen (Temple University); Jing Li (New Jersey Institute of Technology); Qian Gong (Oak Ridge National Laboratory); Qing Liu (New Jersey Institute of Technology); Norbert Podhorszki (Oak Ridge National Laboratory); Scott Klasky (Oak Ridge National Laboratory); Kisung Jung (Pukyong National University); Cristian Lacey (Sandia National Laboratory); Jackie Chen (Sandia National Laboratory); Hongjian Zhu (X-Byte Research)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1430 | UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Li Yangning (Tsinghua Shenzhen International Graduate School)*; Qingsong Lv (Shenzhen International Graduate School, Tsinghua University); Tianyu Yu (Tsinghua University); Yinghui Li (Shenzhen International Graduate School, Tsinghua University); Xuming Hu (The Hong Kong University of Science and Technology (Guangzhou)); Wenhao Jiang (Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)); Hai-Tao Zheng (Shenzhen International Graduate School, Tsinghua University); Hui Wang (Pengcheng Laboratory)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">370 | PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Shang Liu (Kyoto University)*; Hao Du (Hokkaido University); Yang Cao (Institute of Science Tokyo ); Bo Yan (Beijing University of Posts and Telecommunications); Jinfei Liu (Zhejiang University); Masatoshi Yoshikawa (Osaka Seikei University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">326 | Experimental analysis of multi-step pipelines for fair classifications &#8211; More than the sum of their parts?<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Nico <a>L\u00e4ssig <\/a><\/span><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">(University of Stuttgart)*; Melanie Herschel (Nanyang Technological University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">648 | pFSSL-D: Generalization Meets Personalization in Dual-Phase Federated Semi-Supervised Learning\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuting Li (Beijing Normal University)*; Wenhua Wang (Beijing Normal Univesity); Tian Wang (Beijing Normal University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-20088e3 e-flex e-con-boxed e-con e-parent\" data-id=\"20088e3\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f83d259 elementor-widget elementor-widget-text-editor\" data-id=\"f83d259\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>12.2: Database Security and Privacy IV<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3d60583 e-flex e-con-boxed e-con e-parent\" data-id=\"3d60583\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2959ad7 elementor-widget elementor-widget-text-editor\" data-id=\"2959ad7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 14:00 \u2013 15:30\u00a0 @Y 302<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Zhikun Zhang (Zhejiang University)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">530 | Triangle Counting over Signed Graphs with Differential Privacy\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zening Li (Beijing Institute of Technology); Ronghua Li (Beijing Institute of Technology)*; Fusheng Jin (Beijing Institute Of Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">856 | Privacy-preserving Triangle Counting in Directed Graphs<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ziyao Wei (Zhejiang University); Qing Liu (Zhejiang University); Zhikun Zhang (Zhejiang University); Shouling Ji (Zhejiang University); Yunjun Gao (Zhejiang University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">879 | Truss Decomposition under Edge Local Differential Privacy\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yuting Zhang (The University of New South Wales)*; Wei Ni (CSIRO); Kai Wang (Shanghai Jiao Tong University); Yizhang He (The University of New South Wales); Conggai Li (Data61, CSIRO)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1066 | Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yingfan Liu (Xidian University); Yandi Zhang (Xidian University); Jiadong Xie (The Chinese University of Hong Kong); Hui Li (Xidian University)*; Jeffrey Xu Yu (Chinese University of Hong Kong); Jiangtao Cui (Xidian University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">160 | Heterogeneous-Aware Traffic Prediction: A Privacy-Preserving Federated Learning Framework\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhihao Zeng (Zhejiang University); Ziquan Fang (Zhejiang University)*; Yuting Huang (Zhejiang University); Qilong Wang (Zhejiang University); Lu Chen (Zhejiang University); Yunjun Gao (Zhejiang University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fef67f9 e-flex e-con-boxed e-con e-parent\" data-id=\"fef67f9\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2edc711 elementor-widget elementor-widget-text-editor\" data-id=\"2edc711\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>12.3: Graph Structure Analytics V<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bf7750a e-flex e-con-boxed e-con e-parent\" data-id=\"bf7750a\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6b0e973 elementor-widget elementor-widget-text-editor\" data-id=\"6b0e973\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 14:00 \u2013 15:30\u00a0 @Y 303<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Wentao Li (University of Leicester)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">174 | Efficient A-threshold Maintenance in Dynamic Uncertain Graphs\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yu Chen (Zhejiang University); Qing Liu (Zhejiang University); Yifan Zhu (Zhejiang University); Yunjun Gao (Zhejiang University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1633 | Finding a Summary for All Maximal Bicliques\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Xintong Yu (Swinburne University of Technology)*; Rui Zhou (Swinburne University of Technology); Xiaofan Li (Nanyang Technological University); Lu Chen (Swinburne University of Technology); Chengfei Liu (Swinburne University of Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">830 | MuSha: Subgraph Matching by Multilevel Sharing\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Hongtai Cao (University of Illinois at Urbana-Champaign)*; Qihao Wang (University of Illinois at Urbana Champaign); Xiaodong Li (The University of Hong Kong); Mohammad Matin Najafi (The University of Hong Kong); Kevin Chen-Chuan Chang (University of Illinois at Urbana-Champaign); Reynold Cheng (The University of Hong Kong, China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">196 | Maximal Clique Enumeration with Hybrid Branching and Early Termination<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Kaixin Wang (Beijing University of Technology)*; Kaiqiang Yu (Nanyang Technological University); Cheng Long (Nanyang Technological University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">279 | Efficient Maximum Fair Clique Search over Large Networks\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Qi Zhang (Beijing Institute of Technology); Ronghua Li (Beijing Institute of Technology)*; Zifan Zheng (Beijing Institute of Technology); Hongchao Qin (Beijing Institute of Technology); Ye Yuan ( Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f9d0779 e-flex e-con-boxed e-con e-parent\" data-id=\"f9d0779\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2e08517 elementor-widget elementor-widget-text-editor\" data-id=\"2e08517\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>12.4: Modern Hardware and In-Memory Database Systems II<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9cff814 e-flex e-con-boxed e-con e-parent\" data-id=\"9cff814\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a2142aa elementor-widget elementor-widget-text-editor\" data-id=\"a2142aa\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 14:00 \u2013 15:30\u00a0 @Y 304<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Yan Zhao (University of Electronic Science and Technology of China)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">709 | CAM: Asynchronous GPU-Initiated, CPU-Managed SSD Management for Batching Storage Access\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Ziyu Song (Zhejiang University); Jie Zhang (Zhejiang University); Jie Sun (Zhejiang University); Mo Sun (Zhejiang University); Zihan Yang (Zhejiang University); Zheng Zhang (Purdue University); Xuzheng Chen (Zhejiang University); Fei Wu (Zhejiang University); Huajin Tang (Zhejiang University); Zeke Wang (Zhejiang University)*<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1219 | Hybrid DRAM-NVM R-Trees with Consistency Guarantee\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Kaiqi Zhang (Harbin Institute of Technology)*; Chengyou Shen (Harbin Institute of Technology); Siyuan Zhang (Harbin Institute of Technology); Shengfei Shi (Harbin Institute of Technology); Hong Gao (Zhejiang Normal University); Yaofeng Tu (nanjing university of aeronautics and astronautics); Jianzhong Li (Harbin Institute of Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">167 | Exploring SIMD Vectorization in Aggregation Pipelines for Encoded IoT Data<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">RUI KANG (Tsinghua University); Shaoxu Song (Tsinghua University)*; Jianmin Wang ( Tsinghua University, China)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">462 | CuckooDuo: Extensible Dynamic Perfect Hashing for RDMA-based Remote Memory KV Store\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zirui Liu (Peking University)*; Xian Niu (Beijing University of Posts and Telecommunications); Wei Zhou (University of Southern California); Yisen Hong (Peking University); Zhouran Shi (HKUST); Tong Yang (Peking University); Yuchao Zhang (Beijing University of Posts and Telecommunications); Yuhan Wu (Peking University); Yikai Zhao (Peking University); Zhuochen Fan (Peking University); Bin Cui (Peking University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">113 | OOCC: One-round Optimistic Concurrency Control for Read-Only Disaggregated Transactions\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"text-align: start;font-size: 10pt;font-family: 'Times New Roman', serif\">Hao Wu (Tsinghua Univeristy)*; Mingxing Zhang (Tsinghua University); Kang Chen (Tsinghua University); Xia Liao (Tsinghua university); Yingdi Shan (Tsinghua University); Yongwei Wu (Tsinghua University)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-552807e e-flex e-con-boxed e-con e-parent\" data-id=\"552807e\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3f56dc4 elementor-widget elementor-widget-text-editor\" data-id=\"3f56dc4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h5>12.5: Text, Semi-Structured Data Management, Multimedia Databases<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-68e8a17 e-flex e-con-boxed e-con e-parent\" data-id=\"68e8a17\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e911385 elementor-widget elementor-widget-text-editor\" data-id=\"e911385\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">May 23 (Fri) 14:00 \u2013 15:30\u00a0 @Y 305<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Session Chair: Dimitris Papadias (The Hong Kong University of Science and Technology)<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">400 | Universal Set Similarity Search via Multi-Task Representation Learning\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Zhong Yang (Huazhong University of Science and Technology )*; Bolong Zheng (Huazhong University of Science and Technology); Guohui Li (School of Computer Science and Technology Huazhong University of Science and Technology); Xi Zhao (HKUST); Xiaofang Zhou (The Hong Kong University of Science and Technology)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">1665 | EPAS: Efficient Online Log Parsing via Asynchronous Scheduling of LLM Queries\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">XiaoLei Chen (Fudan University); Jia Chen (Fudan University)*; Jie Shi (Fudan University); Peng Wang (Fudan University); Wei Wang (Fudan University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">16 | AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Chaoyun Zhang (Microsoft)*; Zicheng Ma (ZJU-UIUC Institute); Yuhao Wu (National University of Singapore); Shilin He (Microsoft); Si Qin (Microsoft Research); Minghua Ma (Microsoft Research); Xiaoting Qin (Microsoft); Yu Kang (MSRA); Yuyi Liang (Microsoft); Xiaoyu Gou (Microsoft); Yajie Xue (Microsoft); Qingwei Lin (Microsoft Research); Saravan Rajmohan (Microsoft 365); Dongmei Zhang (Microsoft Research Asia); Qi Zhang (Microsoft)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">774 | Querying Templatized Document Collections with Large Language Models\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Yiming Lin (University of California, Berkeley)*; Madelon Hulsebos (UC Berkeley); Ruiying Ma (Institute for Interdisciplinary Information Sciences, Tsinghua University); Shreya Shankar (University of California Berkeley); Sepanta Zeighami (University of California Berkeley); Aditya Parameswaran (University of California, Berkeley); Eugene Wu (Columbia University)<\/span><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><b><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">249 | QaVA: Query-aware Video Analysis Framework Based on Data Access Pattern\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/b><\/p><p class=\"MsoNormal\" style=\"margin: 0cm;font-size: 10.5pt;font-family: Calibri, sans-serif\"><span lang=\"EN-US\" style=\"font-size: 10pt;font-family: 'Times New Roman', serif\">Tianxiong Zhong (Beijing Institute of Technology); Zhiwei Zhang (Beijing Institute of Technology)*; Yihang Fu (Beijing Institute of Technology); Guo Lu (Shanghai Jiao Tong University); Ye Yuan ( Beijing Institute of Technology); Guoren Wang (Beijing Institute of Technology)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ef60423 e-flex e-con-boxed e-con e-parent\" data-id=\"ef60423\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-ab681f9 e-con-full e-flex e-con e-child\" data-id=\"ab681f9\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0305f68 elementor-widget elementor-widget-text-editor\" data-id=\"0305f68\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>41st IEEE International Conference on Data Engineering, Hong Kong SAR, China &#8211; May 19-23, 2025<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Research Papers 1.1: AI-based DB Tuning, Benchmarks and Performances I May 20 (Tue) 11:00 \u2013 12:30\u00a0 @Y 301 Session Chair: Yuren Mao (Zhejiang University) \u00a0 404 | Guiding Index Tuning Exploration with Potential Estimation Kecheng Luo (East China Normal University); Ruiyang Ma (East China Normal University); Peng Cai (East China Normal University)*; Aoying Zhou (East [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_canvas","meta":{"footnotes":""},"class_list":["post-932","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ieee-icde.org\/2025\/wp-json\/wp\/v2\/pages\/932","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ieee-icde.org\/2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ieee-icde.org\/2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ieee-icde.org\/2025\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/ieee-icde.org\/2025\/wp-json\/wp\/v2\/comments?post=932"}],"version-history":[{"count":0,"href":"https:\/\/ieee-icde.org\/2025\/wp-json\/wp\/v2\/pages\/932\/revisions"}],"wp:attachment":[{"href":"https:\/\/ieee-icde.org\/2025\/wp-json\/wp\/v2\/media?parent=932"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}