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James Tin-Yau KWOK ()
Professor
Computer Science and Engineering
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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 is serving / served as an Associate Editor for the
IEEE Transactions on Neural Networks and Learning Systems,
Neural Networks,
Neurocomputing,
Artificial Intelligence
Journal,
International Journal of Data
Science and Analytics, and on the Editorial Board of
Machine Learning.
He is also
serving
as Senior Area Chairs of major machine learning /
AI conferences including NeurIPS, ICML, ICLR, IJCAI,
and
as Area Chairs of conferences including
AAAI and ECML.
He is on the IJCAI Board of Trustees.
He
is recognized as the Most Influential
Scholar Award Honorable Mention for
"outstanding and vibrant contributions to the field of AAAI/IJCAI between 2009
and 2019".
Prof Kwok is the
IJCAI-2025
Program Chair.
Current Research Interests
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Machine learning,
Deep learning,
Data mining,
Artificial intelligence
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Applications:
Computer vision and image processing,
speech processing,
pervasive computing
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List of publications
(Google
scholar)
Awards
- Best Teaching Award, MSc Program in Big
Data Technology, 2021-2022
- Best Paper Runner-Up, Applied Research Track, International Conference on Information and Knowledge Management (CIKM), 2022
- Best Review Award, International Conference on Learning Representations (ICLR), 2017
- Nomination for the Best Paper Award, SIAM International Conference on Data Mining (SDM), 2010.
- Second Class Award in Natural Sciences by the Ministry of Education, People's Republic of China, 2008
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IEEE Transactions on Neural Networks Outstanding
Paper Award,
2004
Student Supervision Achievements
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Quanming Yao,
First Runner-up, Ph.D. Research Excellence (HKUST Engineering School), 2018-2019
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Quanming Yao,
Google PhD Fellowship in Machine Learning, 2016.
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Wei Bi,
Google Anita Borg Fellowship, 2014.
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Wei Bi,
Google PhD Fellowship in Machine Learning, 2013.
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Ivor Tsang,
Best Paper Award, IEEE Hong Kong Chapter of Signal Processing
Postgraduate Forum, 2006.
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Ivor Tsang,
Microsoft Fellowship, 2005.
Current Students
- Xilin Cao (PhD student)
- Weiyu
Chen (PhD student)
- Yunhao Gou (PhD student)
- Ruping Huang (PhD student)
- Zhili Liu (PhD student)
- Yanbin Wei (PhD student)
- Hansi Yang (PhD student)
- Nai Chit Fung (MPhil student)
- Kai Syun Hou (MPhil student)
- Weiqing Xu (MPhil student)
Former Students
- Lifeng
Shen (PhD 2024)
- Weisen Jiang (PhD 2024)
- Han
Shi (PhD 2022)
- Shuai Zheng (PhD 2019)
- Lu
Hou (PhD 2019)
- Yaqing Wang (PhD 2019; co-supervised with
Lionel Ni)
- Quanming Yao (PhD 2018)
- Wei
Bi (PhD 2015)
- Leon Wenliang Zhong (PhD 2014)
- Kai Zhang (PhD 2008)
- Ivor Tsang (PhD 2007, MPhil
2003)
- Jincheng Yu (MPhil 2024)
- Runsheng Yu (MPhil 2024)
- Lawrence Chan (MPhil 2021)
- Minsam Kim (MPhil 2020)
- Zachary William Wellmer (MPhil 2019)
- Xiawei Guo (MPhil 2017)
- Yihai Huang (MPhil 2015)
- Pak-Ming Cheung (MPhil
2006)
- Calvin Chu (MPhil 2005)
- MSBD5008: Introduction to Social Computing
- MSBD5012: Machine Learning
- MFIT5004: Financial Data Mining
- SBMT5710: Artificial Intelligence (for MBA)
- COMP171: Data Structures and Algorithms
- COMP271: Design and Analysis of Algorithms
- COMP327: Introduction to Pattern Recognition
- COMP344: Image Processing
- COMP3211: Introduction to Artificial Intelligence
- COMP4211: Machine Learning (UG)
- COMP4331: Introduction to Data Mining
- COMP4641: Social Information Networks Analysis and Engineering
- COMP5212: Machine Learning (PG)
- COMP621I: Advanced Topics in Machine Learning
- COMP621O: Kernel Methods in Machine Learning
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Matrix
Reference
Manual,
MathWorld,
Wikipedia,
Alpha,
Google,
Lbsearch
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HKUST:
IEEE Explore,
SCI,
JSTOR,
E-journals,
Library,
Intranet for staff ,
HKUST Webmail,
CSD Webmail,
Outlook,
FYP,
Canvas
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More WWW sites
jamesk (at) cse (dot) ust (dot) hk
http://www.cse.ust.hk/~jamesk
Department of Computer Science and Engineering
The Hong Kong University of Science and Technology
Hong Kong