May 20 (Tue) 11:00 – 12:30 @Y 306
Session Chair: Minos Garofalakis
10 | Stability is not Downtime: Comprehensive Stability Evaluation for Large-Scale Cloud Servers in Alibaba Cloud
Haoyu Wang (Alibaba Group)*; Zhicheng Liu (Alibaba Group); Yeliang Qiu (alibaba group); Haozhe Li (Alibaba Group); Hongke Guo (Alibaba); zhu zhaoliang (Alibaba Group); You Zhang (Alibaba Cloud); yu zhou (Alibaba); Xudong Zheng (Alibaba Cloud)
21 | Scaling and Hardening XLOG: the SQL Azure Hyperscale Log Service
Jack Hu (Microsoft)*; Eric Lee (Microsoft); Prashanth Purnananda (Microsoft); Hanuma Kodavalla (Microsoft)
73 | BlendHouse: A Cloud-Native Vector Database System in ByteHouse
Zhaojie Niu (ByteDance)*; Xinhui Tian (ByteDance); Xindong Peng (bytedance); Xing Chen (Bytedance Inc)
24 | Hyperscale Resilient Buffer Pool Extension in Azure SQL Database
Rogerio Ramos (Microsoft)*; Hanuma Kodavalla (Microsoft); Prashanth Purnananda (Microsoft); Srikanth Sampath (Microsoft); Harshil Ambagade (Microsoft); CHAITANYA GOTTIPATI (Microsoft); Ankit Anvesh (Microsoft)
34 | BBS: Batch-Based Snapshot for the Cloud Database Backup
Xiaoshuang Peng (East China Normal University ); Xiaopeng Fan (East China Normal University); Shi Cheng (Alibaba Cloud); Meng Lingbin (Alibaba Group); Cuiyun Fu (Alibaba Group); Wenchao Zhou (Alibaba Group); Chuliang Weng (East China Normal University)*
May 20 (Tue) 14:00 – 15:30 @Y 306
Session Chair: Ziquan Fang
101 | Bridging the Gap: LLM-Powered Transfer Learning for Log Anomaly Detection in New Software Systems
Yicheng Sui (Nankai University); Xiaotian Wang (Nankai University ); Tianyu Cui (Nankai University ); Tong Xiao (Tsinghua University); Chenghao He (Nankai University); Shenglin Zhang (Nankai University)*; Yuzhi Zhang (Nankai University); Xiao Yang (China Mobile Communications Corporation); Yongqian Sun (Nankai University); Dan Pei (Tsinghua University)
16 | PAS: Plug-and-Play Prompt Augmentation System
Miao Zheng (Baichuan inc.); Hao Liang (Peking University)*; Fan Yang (baichuan-inc); Bin Cui (Peking University); Zenan Zhou (Baichuan inc.); Wentao Zhang (Peking University)
33 | DataSculpt: A Holistic Data Management Framework for Long-Context LLMs Training
Keer Lu (Peking University)*; Xiaonan Nie (Peking University); Zheng Liang (Baichuan); Da Pan (Baichuan); Shusen Zhang (Baichuan inc.); Keshi Zhao (Peking University); Weipeng Chen (Baichuan Inc.); Zenan Zhou (Baichuan inc.); Guosheng Dong (Baichuan Inc.); Bin Cui (Peking University); Wentao Zhang (Peking University)
75 | DataLab: A Unified Platform for LLM-Powered Business Intelligence
Luoxuan Weng (State Key Lab of CAD&CG, Zhejiang University)*; Yinghao Tang (State Key Lab of CAD&CG, Zhejiang University); Yingchaojie Feng (State Key Lab of CAD&CG, Zhejiang University); Zhuo Chang (Peking University); Peng Chen (Tencent Inc.); RUIQIN CHEN (Tencent); Haozhe Feng (Zhejiang University); Chen Hou (Tencent); Danqing Huang (Tencent Inc.); Yang Li (Tencent Inc.); Huaming Rao (Tencent); Haonan Wang (tencent); canshi wei (tencent); Xiaofeng Yang (Tencent); yuhui zhang (Zhejiang University ); yifeng zheng (Tencent); Xiuqi Huang (Zhejiang University); Minfeng Zhu (Zhejiang University); Yuxin Ma (Southern University of Science and Technology); Bin Cui (Peking University); Wei Chen (State Key lab of CAD&CG, Zhejiang University)
65 | Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation
Chunjing Gan (Ant Group)*; dan yang (Ant Group); Binbin Hu (Ant Group); Ziqi Liu (Ant Financial); Yue Shen (Ant Group); Zhiqiang Zhang (Ant Financial); Jinjie Gu (Ant Group); Jun Zhou (Ant Group ); Guannan Zhang (Ant Group)
May 21 (Wed) 10:25 – 11:55 @Y 306
Session Chair: Xin Tang
62 | MSPR: A Multi-Scenario Player Recommendation Framework for Online Gaming
Minghao Chen (Tencent)*; Haodong Chen (Kuaishou Technology); Yi Zeng (Tencent); Zhenfeng Liang (Tencent)
4 | A Bilateral Perspective for Modeling Real-Time Traffic Trends in Live-Streaming Recommendation
Rui Li (Douyin Group)*; Pengyuan Gao (Bytedance Ltd); Haihan Li (Douyin Group); LING CHAI (Bytedance Ltd); Shaohao Huang (ByteDance); Xie Ting (Douyin Group)
114 | M2oERank: Multi-objective Mixture-of-Experts Enhanced Ranking for Satisfaction-oriented Web Search
Yuchen Li (Baidu Inc.)*; Hao Zhang (Baidu Inc.); Yongqi Zhang (The Hong Kong University of Science and Technology (GZ)); Xinyu Ma (Baidu Inc.); Wenwen Ye (Baidu Inc.); Naifei Song (Baidu Inc.); Shuaiqiang Wang (Baidu Inc.); Haoyi Xiong (Baidu Inc.); Dawei Yin (Baidu Inc.); Lei Chen (The Hong Kong University of Science and Technology (GZ))
3 | MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage
Yongjun He (ETH Zürich)*; Roger Waleffe (University of Wisconsin-Madison); Zhichao Han (Ebay); Johnu George (Nutanix); Binhang Yuan (HKUST); Zitao Zhang (eBay); Yinan Shan (Ebay); Yang Zhao (Ebay); Debojyoti Dutta (Cisco); Theodoros Rekatsinas (Apple); Ce Zhang (University of Chicago)
46 | GEX: Guiding Expert tuning with eXplainable AI
Andrew Chai (York University)*; Alexander Bianchi (York University); Vincent Corvinelli (IBM); Parke Godfrey (York University); Jarek Szlichta (York University and IBM CAS); Calisto Zuzarte (IBM)
May 21 (Wed) 14:45-16:15 @Y 306
Session Chair: Bin Yang
84 | Scalable Machine Learning for Real-Time Fault Diagnosis in Industrial IoT Cooling Roller System
Dandan Zhao (Chongqing University); Karthick Sharma (University of Sri Jayewardenepura); Yuxin Qi (Shanghai Jiao Tong University); Qixun Liu (CISDI Information Technology (Chongqing) Co., Ltd.); Shuhao Zhang (Huazhong University of Science and Technology)*
42 | FlowFill: A Fast and Energy-Efficient Streaming Framework for Recovering Missing Values in Industrial Sensor Data
Hao Huang (GE Research)*; Scott Evans (GE Vernova Advanced Research)
95 | Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series
Adrien Petralia (EDF)*; Paul Boniol (Inria, Ecole normale supérieure); Philippe Charpentier (EDF SA); Themis Palpanas (Université Paris Cité)
72 | Model-Accuracy Aware Query Routing for Smart Logistics Service
Shanshan Huang (East China Normal University); Zhiwei Ye (China Mobile Communications Corporation); Peng Cai (East China Normal University)*; Qiwen Dong (East China Normal University)
77 | SylphDB: An Active and Adaptive LSM Engine for Update-Intensive Workloads
Jun-Peng Zhu (East China Normal University & PingCAP); Zhiwei Ye (China Mobile Communications Corporation); XiaoLong He (East China Normal University); Peng Cai (East China Normal University)*; Xuan Zhou (East China Normal University); Aoying Zhou (East China Normal University ); Dunbo Cai (hina Mobile (Suzhou) Software Technology Co., Ltd.); Ling Qian (China Mobile Cloud Computing Center); Kai Xu (PingCAP); Liu Tang (PingCAP); Qi Liu (PingCAP)
May 22 (Thu) 16:30 – 18:00 @Y 306
Session Chair: Cyrus Shahabi
111 | mAP: Abandoned Properties Detection using Multifaceted Urban Service Data
Liangkai Zhou (Stony Brook University)*; Agbonlahor Edomwonyi (City of Newark); Shan Lin (Stony Brook University)
9 | CDMap: Complementarity and Disparity-aware Map Inference Quality Enhancement
Wenyu Wu (East China Normal University)*; Jiali Mao (East China Normal University); Jiafan Liu (ECNU); Yixiao Tong (East China Normal University); Lisheng Zhao (Didi chuxing); Shaosheng Cao (DiDi); Jilin Hu (East China Normal University); Aoying Zhou (East China Normal University ); Lin Zhou (Didi Chuxing)
115 | BIGCity: A Versatile Model for Unified Multi-level Spatiotemporal Data Analysis
Xie Yu (Beihang University); Jingyuan Wang (Beihang University)*; Yifan Yang (Beihang University); Qian Huang (Huawei Technologies); Ke Qu (Huawei Technologies)
12 | OceanBase Unitization: Building the Next Generation of Online Map Applications
Quanqing Xu (OceanBase, Ant Group )*; wei sun (AMap, Alibaba); Chuanhui Yang (OceanBase); Jinlong Liu (AMap, Alibaba); Ziyun Wei (Cornell University); Fusheng Han (OceanBase); Liang Wang (Amap,Alibaba); xiaowei zhai (AMap,Alibaba)
May 23 (Fri) 09:00 – 10:30 @Y 306
Session Chair: Minos Garofalakis
121 | GalaxyView: Property Graph Transformation for Materialized View Generation
Bing Tong (The Hong Kong University of Science and Technology (Guangzhou))*; Jianheng Tang (The Hong Kong University of Science and Technology (Guangzhou)); Yan Zhou (Zhejiang Chuanglin Technology Co., Ltd.); Chen Zhang (Zhejiang Chuanglin Technology Co., Ltd.); Jia Li (The Hong Kong University of Science and Technology (Guangzhou)); Lei Chen (The Hong Kong University of Science and Technology (Guangzhou))
56 | Advancing Cloud-native Cyber Threat Detection with Graph-based Feature Engineering
Tailai Song (Politecnico di Torino)*; Mukharbek Organokov (Cisco Systems Inc.); Lennart Gulikers (Cisco Systems Inc.); Giulio Grassi (Cisco Systems Inc.); Giovanna Carofiglio (Cisco Systems Inc.); Michela Meo (Politecnico di Torino)
52 | Enabling Light-Weight Reasoning via Cypher Triggers
Davide Magnanimi (Politecnico di Milano); Andrea Colombo (Politecnico di Milano)*; Luigi Bellomarini (Banca d’Italia); Anna Bernasconi (Politecnico di Milano); Stefano Ceri (Politecnico di Milano); Davide Martinenghi (Politecnico di Milano)
99 | GraphEx: A Graph-based Extraction Method for Advertiser Keyphrase Recommendation
Ashirbad Mishra (The Pennsylvania State University)*; Soumik Dey (eBay Inc); Hansi Wu (eBay Inc); Jinyu Zhao (eBay Inc); He Yu (eBay Inc); Kaichen Ni (eBay Inc); Binbin Li (eBay Inc); Kamesh Madduri (The Pennsylvania State University)
41st IEEE International Conference on Data Engineering, Hong Kong SAR, China – May 19-23, 2025