详情见导师主页：
https://www.reynold.hku.hk/
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 ACM Distinguished Membership Award and the HKU Outstanding Research Student Supervisor Award in 2023. He was listed as the World’s Top 2% Scientists by Stanford University in 2022, as well as the AI 2000 Most Influential Scholar in Database in 2023 and 2024. He 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.
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