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