2026 James T. Kwok: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	71	1745	1690	237	234	277	26642

Research.com Recognitions

2017 - IEEE Fellow For contributions to computational algorithms for kernel methods

Overview

James T. Kwok is affiliated with the Hong Kong University of Science and Technology in China. Their main field of study is Computer Science, with an emphasis on Artificial Intelligence. Their research spans various subfields including Computer Vision and Pattern Recognition, Signal Processing, Media Technology, and Computational Mechanics.

The core topics covered in James T. Kwok's work include:

Domain Adaptation and Few-Shot Learning
Natural Language Processing Techniques
Topic Modeling
Machine Learning and Algorithms
Advanced Graph Neural Networks
Adversarial Robustness in Machine Learning
Advanced Image and Video Retrieval Techniques

James T. Kwok has collaborated frequently with several co-authors, including:

Jie Gui
Quanming Yao
Yuan Yan Tang
Weisen Jiang
Lanqing Hong

The scientist's recent papers include:

"Generalizing from a Few Examples," 2020, ACM Computing Surveys
"A Survey of Label-noise Representation Learning: Past, Present and Future," 2020, arXiv (Cornell University)
"Time Series Anomaly Detection with Multiresolution Ensemble Decoding," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"A Survey on Time-Series Pre-Trained Models," 2024, IEEE Transactions on Knowledge and Data Engineering
"MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models," 2023, arXiv (Cornell University)

James T. Kwok has published extensively in several academic venues. Most frequent publication venues include:

arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Multimedia
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Circuits and Systems for Video Technology

Additionally, James T. Kwok has contributed to book publications, including:

Neural Information Processing, published by Springer Science+Business Media, 2020

James T. Kwok was recognized as an IEEE Fellow in 2017 for contributions to computational algorithms for kernel methods.

Best Publications

Domain Adaptation via Transfer Component Analysis

Sinno Jialin Pan;Ivor W Tsang;James T Kwok;Qiang Yang

4734
Citations
Generalizing from a Few Examples: A Survey on Few-shot Learning

Yaqing Wang;Quanming Yao;James T. Kwok;Lionel M. Ni

3124
Citations
Core Vector Machines: Fast SVM Training on Very Large Data Sets

Ivor W. Tsang;James T. Kwok;Pak-Ming Cheung

1355
Citations
The pre-image problem in kernel methods

J.T.-Y. Kwok;I.W.-H. Tsang

1173
Citations
Transfer learning via dimensionality reduction

Sinno Jialin Pan;James T. Kwok;Qiang Yang

748
Citations
Constructive algorithms for structure learning in feedforward neural networks for regression problems

Tin-Yau Kwok;Dit-Yan Yeung

699
Citations
Combination of images with diverse focuses using the spatial frequency

Shutao Li;Shutao Li;James Tin-Yau Kwok;Yaonan Wang

560
Citations
Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images

Shutao Li;Shutao Li;James T Kwok;Yaonan Wang

434
Citations
Improved Nyström low-rank approximation and error analysis

Kai Zhang;Ivor W. Tsang;James T. Kwok

421
Citations
Multifocus image fusion using artificial neural networks

Shutao Li;James T. Kwok;Yaonan Wang

415
Citations
Mining customer product ratings for personalized marketing

Kwok-Wai Cheung;James T. Kwok;Martin H. Law;Kwok-Ching Tsui

407
Citations
Asynchronous Distributed ADMM for Consensus Optimization

Ruiliang Zhang;James Kwok

407
Citations
Multi-Label Learning with Global and Local Label Correlation

Yue Zhu;James T. Kwok;Zhi-Hua Zhou

367
Citations
Maximum Margin Clustering Made Practical

Kai Zhang;I.W. Tsang;J.T. Kwok

336
Citations
Objective functions for training new hidden units in constructive neural networks

Tin-Yan Kwok;Dit-Yan Yeung

308
Citations
Texture classification using the support vector machines

Shutao Li;Shutao Li;James T. Kwok;Hailong Zhu;Hailong Zhu;Yaonan Wang

297
Citations
Simpler core vector machines with enclosing balls

Ivor W. Tsang;Andras Kocsor;James T. Kwok

290
Citations
A novel incremental principal component analysis and its application for face recognition

Haitao Zhao;Pong Chi Yuen;J.T. Kwok

277
Citations
Generalized Core Vector Machines

I.W.H. Tsang;J.T.Y. Kwok;J.A. Zurada

260
Citations
The evidence framework applied to support vector machines

James Tin-Yau Kwok

256
Citations

Frequent Co-Authors

Ivor W. Tsang Agency for Science, Technology and Research

Shutao Li Hunan University

Dit-Yan Yeung Hong Kong University of Science and Technology

Qiang Yang Hong Kong University of Science and Technology

Bao-Liang Lu Shanghai Jiao Tong University

Zhi-Hua Zhou Nanjing University

Lionel M. Ni Hong Kong University of Science and Technology (Guangzhou)

Tie-Yan Liu Microsoft (United States)

Changshui Zhang Tsinghua University

Sinno Jialin Pan Chinese University of Hong Kong

External Links

Personal website of James T. Kwok Google Scholar page

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