James Tin-Yau KWOK ()

Computer Science and Engineering


James Kwok is a Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. He is an IEEE Fellow.

Prof Kwok received his B.Sc. degree in Electrical and Electronic Engineering from the University of Hong Kong and his Ph.D. degree in computer science from the Hong Kong University of Science and Technology. He then joined the Department of Computer Science, Hong Kong Baptist University as an Assistant Professor. He returned to the Hong Kong University of Science and Technology and is now a Professor in the Department of Computer Science and Engineering. He served/is serving as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, International Journal of Data Science and Analytics (JDSA), Governing Board Member, and Vice President for Publications of the Asia Pacific Neural Network Society (APNNS). He also served/is serving as Area Chairs of major machine learning / AI conferences including NIPS, ICML, ICLR, IJCAI, AAAI and ECML.


Current Research Interests

Machine learning, Deep learning, Kernel methods, Artificial intelligence
Applications: Computer vision and image processing, speech processing, pervasive computing
List of publications (Google scholar)


+ IEEE Transactions on Neural Networks Outstanding 2004 Paper Award
+ Second Class Award in Natural Sciences by the Ministry of Education, People's Republic of China, 2008
+ Nomination for the Best Paper Award, SIAM International Conference on Data Mining (SDM), 2010.

Student Supervision Achievements

+ Quanming Yao, First Runner-up, Ph.D. Research Excellence (HKUST Engineering School), 2018-2019
+ Quanming Yao, Google PhD Fellowship in Machine Learning, 2016.
+ Wei Bi, Google Anita Borg Fellowship, 2014.
+ Wei Bi, Google PhD Fellowship in Machine Learning, 2013.
+ Ivor Tsang, Best Paper Award, IEEE Hong Kong Chapter of Signal Processing Postgraduate Forum, 2006.
+ Ivor Tsang, Microsoft Fellowship, 2005.

Research Group

+ Artificial Intelligence

Current Students

+Shi Han (PhD student)
+Jincheng Yu (PhD student)
+Jingchang Liu (PhD student)
+Lifeng Shen (PhD student)
+Zachary William Wellmer (PhD student)
+Minsam Kim (MPhil student)
+Lawrence Chan (MPhil student)

Former Students

+Shuai Zheng (PhD 2019; Amazon)
+Lu Hou (PhD 2019; Huawei Noah's Ark Lab)
+Yaqing Wang (PhD 2019; co-supervised with Lionel Ni; Baidu)
+Zachary William Wellmer (MPhil 2019)
+Quanming Yao (PhD 2018; Fourth Paradigm, China)
+Xiawei Guo (MPhil 2017)
+Wei Bi (PhD 2015; Tencent AI Lab, China)
+Yihai Huang (MPhil 2015)
+Leon Wenliang Zhong (PhD 2014; Ant Financial, China)
+Kai Zhang (PhD 2008; Associate Professor, Temple University, USA)
+Ivor Tsang (PhD 2007, MPhil 2003; Professor, University of Technology Sydney, Sydney, Australia)
+Pak-Ming Cheung (MPhil 2006; Microsoft (Bing), Seattle, USA)
+Calvin Chu (MPhil 2005; Hong Kong Bank, Hong Kong)


+ MFIT5004: Financial Data Mining
+ COMP4211: Machine Learning (UG)
+ COMP4331: Introduction to Data Mining
+ MSBD5012: Machine Learning
+ COMP171: Data Structures and Algorithms
+ COMP271: Design and Analysis of Algorithms
+ COMP327: Introduction to Pattern Recognition
+ COMP344: Image Processing
+ COMP3211: Introduction to Artificial Intelligence
+ COMP4641: Social Information Networks Analysis and Engineering
+ COMP5212: Machine Learning (PG)
+ COMP621I: Advanced Topics in Machine Learning
+ COMP621O: Kernel Methods in Machine Learning
+ MSBD5008: Introduction to Social Computing

Other Links

Matrix Reference Manual, MathWorld, Wikipedia, Alpha, Google, Lbsearch
HKUST: IEEE Explore, SCI, JSTOR, E-journals, Library, Intranet for staff , HKUST Webmail, CSD Webmail, FYP
More WWW sites

jamesk (at) cse (dot) ust (dot) hk
Department of Computer Science and Engineering
The Hong Kong University of Science and Technology
Hong Kong