PhD Symposium

A. Panel Session: PhD Student's Job Hunting in the Age of Large Language Models (LLMs) - Complementary Perspectives from both Academic World and Industrial (R&D) World

Date: 22 May (Thu)

Time: 14:30-16:00 (Panel Discussion about Academic World)

          16:30-18:00 (Panel Discussion about Industrial (R&D) World)

Venue: Y301

Panel moderator: 

Raymond Chi-Wing WONG (The Hong Kong University of Science and Technology)

Panelist: 

Divesh Srivastava (AT&T)

Chengqi Zhang (The Hong Kong Polytechnic University)

Stephan Fahrenkrog-Petersen (Weizenbaum Institute & Humboldt-Universität zu Berlin)

Jieming Shi (The Hong Kong Polytechnic University)

Renchi Yang (Hong Kong Baptist University)

Min Xie (Shenzhen Institute of Computing Sciences)

Abstract: 

Large Language Models (LLMs) are becoming popular nowadays and are changing the job market. In this panel, we will have a discussion about how PhD students could prepare better for job hunting in the age of LLMs. In this panel, we have senior employers and young researchers who will have complementary perspectives about this topic. Senior employees could share their expectations on recruiting young researchers, and young researchers could share their own experience about how to find a job in the job market.

Raymond Chi-Wing WONG

Divesh Srivastava

Chengqi Zhang

Stephan Fahrenkrog -Petersen

Jieming Shi

Renchi Yang

Min Xie

B. Students' Presentation

Date: 22 May (Thu)

Time: 11:30-13:00

Venue: Y301

 

Session Chair: 

Xiao Huang (The Hong Kong Polytechnic University)

Accepted papers:

Paper 3: Optimizing Cloud Data Lake Queries by Minimizing the Query Coverage Set, Grisha Weintraub (IBM and BGU)

Paper 4: MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning, Maolin Wang (City University of Hong Kong)

Paper 5: Leveraging LLM for Diffusion Prediction in Online Social Networks: A Fused Attention-aware Model, Wenbo Shang (Hong Kong Baptist University)

Paper 6: Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases, Teng LIN (HKUST(GZ))

Paper 10: StreamSC: A Learning-based Framework for Efficient Subgraph Counting in Stream Graphs, Zhen Xie (National University of Defense Technology)

Paper 11: Explore the Disentanglement Mechanism for Deep Learning, Haiquan Qiu (Tsinghua University)


C. Program of PhD Symposium


Date: 22 May (Thu)

Venue: Y301

Program:

 11:30-13:00 – Session 1 (Opening and Students’ Presentation)
 13:00-14:30 – Lunch (Octopus)
 14:30-16:00 – Session 2A (Panel Discussion about Academic World)

  • Chengqi Zhang (The Hong Kong Polytechnic University)
  • Jieming Shi (The Hong Kong Polytechnic University)
  • Renchi Yang (Hong Kong Baptist University)
 

  16:00-16:30 – Coffee Break
  16:30-18:00 – Session 2B (Panel Discussion about Industrial (R&D) World)

  • Divesh Srivastava (AT&T)
  • Stephan Fahrenkrog-Petersen (Weizenbaum Institute / Humboldt – Universität zu Berlin)
  • Min Xie (Shenzhen Institute of Computing Sciences

41st IEEE International Conference on Data Engineering, Hong Kong SAR, China – May 19-23, 2025