PhD in Computer Science
University of Waterloo, 2005
Dean
Information Hub
Chair Professor
Thrust of Data Science and Analytics
Department of Computer Science and Engineering
Director
HKUST Big Data Institute
MOE/MSRA Information Technology Key Laboratory
Associate Director
Brain and Intelligence Research Institute
GREAT Smart Cities Institute
HKUST The Big Data for Bio Intelligence Laboratory
HKUST-DiDi Joint Research Lab
Explainable Knowledge Graph Reasoning Based on Multi-modal Data, National Natural Science Foundation of China, 2023 – , Leading.
CrossTP: A Layer 2-based Blockchain Cross-chain Trading Platform, Accel Innovations Limited, Innovation and Technology Fund, 2022 – , Leading.
A Deep Learning Algorithm for Aging Prediction Based on Plasma Protein, Microsoft Research Asia, 2022 – , Leading.
Intelligent Quantitative Investment Technologies Based on Knowledge Base, Assure Fintech Ltd., Innovation and Technology Fund, 2022 – , Leading.
2021-2022 HKUST-MSRA Joint Lab Planning, Microsoft Research Asia, 2021 – , Leading.
CVault: A Confidential Vault-based Privacy Preserving Framework for Account-model Blockchain, RGC – General Research Fund, 2021 – , Leading.
Deep Learning Research in Finance Data Applications, OKT2 – HKUST-Kaisa Joint Research Institute, 2021 – , Leading.
HKUST-Microsoft MoE Key Joint Laboratory on Information Technologies Year 2020-2021 planning, RMGS – UGC – Research Matching Grant Scheme, 2021 – , Leading.
RCA and QA system based on knowledge graphs in AIOps, RMGS – UGC – Research Matching Grant Scheme, 2021 – , Leading.
Designing Interpretable RNN-based Anti-Money Laundering Prediction Model, RMGS – UGC – Research Matching Grant Scheme, 2021 – , Leading.
Domain-Specific Knowledge Base Construction, Research Impact Fund, 2020 – , Leading.
EXPLAINABLE AI: A Hybrid Approach with Visualization, Model, Knowledge and Metamorphic Relation, Microsoft Research Asia, 2020 – , Leading.
HKUST-Microsoft MoE Key Joint Laboratory on Information Technologies Year 2020-2021 planning, Microsoft Research Asia, 2020 – , Leading.
Swarm Intelligence Emerges based on the Internet – Topic 2: Pattern mining and prediction for crowd behaviors, Ministry of Science and Technology of the People’s Republic of China, 2020 – 2022, Leading.
Uniform Travel-Demand-Aware Ridesharing with Privacy Protection, RGC – General Research Fund, 2020 – 2022, Leading.
……
Lei Chen, M. Tamer Özsu, and Vincent Oria. 2005. Robust and fast similarity search for moving object trajectories. In Proceedings of the 2005 ACM SIGMOD international conference on Management of data (SIGMOD ’05). Association for Computing Machinery, New York, NY, USA, 491–502.
Lei Chen and Raymond Ng. 2004. On the marriage of Lp-norms and edit distance. In Proceedings of the Thirtieth international conference on Very large data bases – Volume 30 (VLDB ’04). VLDB Endowment, 792–803.
Lei Zou, Lei Chen, and M. Tamer Özsu. 2009. K-automorphism: A general framework for privacy preserving network publication. In Proceedings of the VLDB Endowment, 2(1), 946-957.
Yexin Li, Yu Zheng, Huichu Zhang, and Lei Chen. 2015. Traffic prediction in a bike-sharing system. In Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’15). Association for Computing Machinery, New York, NY, USA, Article 33, 1–10.
Yongxin Tong, Jieying She, Bolin Ding, Libin Wang, and Lei Chen. 2016. Online mobile micro-task allocation in spatial crowdsourcing. In 2016 IEEE 32Nd international conference on data engineering (ICDE). IEEE. 49-60.
Lei Zou, Jinghui Mo, Lei Chen, M Tamer Özsu, and Dongyan Zhao. 2011. gStore: answering SPARQL queries via subgraph matching. In Proceedings of the VLDB Endowment, 4(8), 482-493.
Xiangmin Zhou, and Lei Chen. 2014. Event detection over twitter social media streams. The VLDB journal, 23(3), 381-400.
Xiang Lian and Lei Chen. 2008. Monochromatic and bichromatic reverse skyline search over uncertain databases. In Proceedings of the 2008 ACM SIGMOD international conference on Management of data (SIGMOD ’08). Association for Computing Machinery, New York, NY, USA, 213–226.
Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, and Weifeng Lv. 2017. The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ’17). Association for Computing Machinery, New York, NY, USA, 1653–1662.
Yunhao Liu, Yiyang Zhao, Lei Chen, Jian Pei, and Jinsong Han. 2011. Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays. IEEE Transactions on Parallel and Distributed Systems, 23(11), 2138-2149.
Wenwei Xue, Qiong Luo, Lei Chen, and Yunhao Liu. 2006. Contour map matching for event detection in sensor networks. In Proceedings of the 2006 ACM SIGMOD international conference on Management of data (SIGMOD ’06). Association for Computing Machinery, New York, NY, USA, 145–156.
Xinglin Zhang, Zheng Yang, Zimu Zhou, Haibin Cai, Lei Chen, and Xiangyang Li. 2014. Free market of crowdsourcing: Incentive mechanism design for mobile sensing. IEEE transactions on parallel and distributed systems, 25(12), 3190-3200.
Lei Zou, Lei Chen, and M Tamer Özsu. 2009. Distance-join: Pattern match query in a large graph database. In Proceedings of the VLDB Endowment, 2(1), 886-897.
Wuman Luo, Haoyu Tan, Lei Chen, and Lionel M. Ni. 2013. Finding time period-based most frequent path in big trajectory data. In Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data (SIGMOD ’13). Association for Computing Machinery, New York, NY, USA, 713–724.
Lei Chen, Le Wu, Richang Hong, Kun Zhang, and Meng Wang. 2020. Revisiting graph based collaborative filtering: A linear residual graph convolutional network approach. In Proceedings of the AAAI conference on artificial intelligence, 34(1). 27-34.
Lei Chen. 2021. Deep Reinforcement Learning. In Deep Learning and Practice with MindSpore. Cognitive Intelligence and Robotics. Springer, Singapore. 217-243.
Leyla Kazemi, Cyrus Shahabi, and Lei Chen. 2013. GeoTruCrowd: trustworthy query answering with spatial crowdsourcing. In Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL’13). Association for Computing Machinery, New York, NY, USA, 314–323.
Lei Zou, M Tamer Özsu, Lei Chen, Xuchuan Shen, Ruizhe Huang, and Dongyan Zhao. 2014. gStore: a graph-based SPARQL query engine. The VLDB journal, 23, 565-590.
Jun Xu, Junmei Yao, Lu Wang, Zhong Ming, Kaishun Wu, and Lei Chen. 2017. Narrowband internet of things: Evolutions, technologies, and open issues. IEEE Internet of Things Journal, 5(3), 1449-1462.
Yongxin Tong, Lei Chen, Yurong Cheng, Philip S Yu. 2012. Mining frequent itemsets over uncertain databases. arXiv preprint arXiv:1208.0292.
COMP 171, Data Structures and Algorithms, Fall 2006/2007
COMP 530, Database System and Implementation, Spring 2007
COMP 231, Database Management Systems, Spring 2008/2009/2010, Fall 2010
COMP 630P, Financial Time Series Analysis, Spring 2009
COMP 630Q, Management of Uncertain Data, Spring 2011
COMP 3311, Database Management Systems, Fall 2011/2017, Spring 2013
COMP 2012, Object-Oriented Programming and Data Structures, Spring 2012
FYTG 5101, Data-Driven Processing, Fall 2012, Spring 2014
COMP 6311D, Hot Topics on Big Data, Fall 2013
COMP 4332 (RMBI 4310), Big Data Mining, Spring 2014/2015/2016/2017
COMP 5331, Knowledge Discovery in Databases, Fall 2014/2015/2016
COMP 4331, Data Mining, Spring 2018/2020, Fall 2018
MSCBD 5002, Knowledge Discovery and Data Mining, Spring 2020
DSAA 5012, Advanced Database Management for Data Science, Spring 2021
MSC-BD 5002, Data Mining and Knowledge Discovery, Fall 2021
Master of Philosophy:
Doctor of Philosophy:
Doctor of Philosophy (co-supervision):
Master of Philosophy:
Doctor of Philosophy:
Doctor of Philosophy (co-supervision):