HINCare won the Certificate of Merit in Asia Smart App Awards 2021!

Prof. Reynold C.K. Cheng
鄭振剛教授
Professor, Department of Computer Science, HKU
Associate Dean of Engineering (Student Enrichment)
Associate Director, Musketeers Foundation Institute of Data Science
Program Director, Data Science and Engineering
Deputy Director, Law and Technology Centre, HKU
Address: University of Hong Kong, CB303, Chow Yei Ching Building, Pokfulam Road, Hong Kong
Reynold Cheng is a Professor of the Department of Computer Science in the University of Hong Kong (HKU). His research interests are in data science, big graph analytics and uncertain data management. He was an Assistant Professor in the Department of Computing of the Hong Kong Polytechnic University (HKPU) from 2005 to 2008. He received his BEng (Computer Engineering) in 1998, and MPhil (Computer Science and Information Systems) in 2000 from HKU. He then obtained his MSc and PhD degrees from Department of Computer Science of Purdue University in 2003 and 2005.
Prof. Cheng received the SIGMOD Research Highlights Reward 2020, HKICT Awards 2021, and HKU Knowledge Exchange Award (Engineering) 2021. He was granted an Outstanding Young Researcher Award 2011-12 by HKU. He received the Universitas 21 Fellowship in 2011, and two Performance Awards from HKPU Computing in 2006 and 2007. He is an academic advisor to the College of Professional and Continuing Education of HKPU. He is a member of IEEE, ACM, ACM SIGMOD, and UPE. He was a PC co-chair of IEEE ICDE 2021, and has been serving on the program committees and review panels for leading database conferences and journals like SIGMOD, VLDB, ICDE, KDD, IJCAI, AAAI, and TODS. He is on the editorial board of IS and DAPD, and was a former editorial board member of TKDE.
Our lab has a few openings for Postdocs and Ph.D this year. We are looking for talents with research interest in data science (including databases, data mining, NLP, machine learning, AI). If you are interested, please feel free to email your CV, transcripts, and email to me. Here is the official website for Ph.D and MPhil student recruitment.
Recent Publications
Finding Locally Densest Subgraphs: A Convex-Programming Approach
Proc. VLDB Endow. 15(2022). Also in the Very Large Databases Conf. (VLDB 2022), Sydney, Australia, Sep 2022
C. Ma*, R. Cheng, L. Lakshmanan, and X. Han
DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection
Proc. VLDB Endow. 15(2022). Also in the Very Large Databases Conf. (VLDB 2022), Sydney, Australia, Sep 2022
X. Han*, R. Cheng, T. Grubenmann, and C. Ma*
A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery
ACM SIGMOD Conference 2022, June 2022, Philadelphia, PA, USA
C. Ma*, Y. Fang, R. Cheng, L. Lakshmanan, and X. Han