معرفی
Lei Chen is a Chair Professor at the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST), where he serves as Director of the Big Data Institute. He received his PhD from the University of Waterloo after completing BS and MS degrees at Tianjin University and Asian Institute of Technology, respectively.
As an IEEE Fellow and ACM Distinguished Scientist, his research spans Data-Driven Machine Learning, Crowdsourcing-based Data Processing, Uncertain Databases, and Knowledge Graphs. His work on graph neural networks, spatial crowdsourcing, and privacy-preserving systems has earned multiple best paper awards at top venues like VLDB, SIGMOD, and KDD. Current research focuses on agentic neural graph databases and large language model optimization.
His 15 most recent publications (2022-2025) address:
- Secure spatial query systems (Hu-Fu)
- Decentralized graph neural network training (Sancus)
- Explainable AI frameworks
- Temporal graph learning
- Polynomial activation functions for weather forecasting
- Knowledge graph applications in recommender systems
Scientific Awards:
- VLDB Best Research Paper (2022)
- SIGMOD Test-of-Time Award
- Google Faculty Award (2013)
- Multiple conference best paper awards
He has supervised 40+ PhD/MPhil students, many of whom now hold academic/research positions at institutions like BeiHang University, Sun Yat-sen University, and Huawei Noah's Ark Lab. His group (Database Research Group) leads projects in graph neural networks, knowledge graphs, and blockchain systems.
