James Tin-Yau Kwok

80 papers A* 10A 4B 7C 1Journal 50Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Axial-View-Oriented Contrastive Adversarial Training for Robust Point Cloud Recognition. IEEE Trans. Inf. Forensics Secur. Jie Gui, Yu-Xin Zhang, Xiaofeng Cong, Baosheng Yu, Zhipeng Gui, Yuan Yan Tang, James Tin-Yau Kwok
2026	J	`jnl`	Toward Fine-Grained Facial Control in 3D Talking Head Generation. CoRR Shaoyang Xie, Xiaofeng Cong, Baosheng Yu, Zhipeng Gui, Jie Gui, Yuan Yan Tang, James Tin-Yau Kwok
2025	J	`jnl`	A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions. CoRR Shuxian Zhao, Jie Gui, Minjing Dong, Baosheng Yu, Zhipeng Gui, Lu Dong, Yuan Yan Tang, James Tin-Yau Kwok
2025	J	`jnl`	ColorVein: Colorful Cancelable Vein Biometrics. CoRR Yifan Wang, Jie Gui, Xinli Shi, Linqing Gui, Yuan Yan Tang, James Tin-Yau Kwok
2025	J	`jnl`	ColorVein: Colorful Cancelable Vein Biometrics. IEEE Trans. Inf. Forensics Secur. Yifan Wang, Jie Gui, Xinli Shi, Linqing Gui, Yuan Yan Tang, James Tin-Yau Kwok
2025	J	`jnl`	Divide and Conquer: Frequency-Aware Contrastive Adversarial Training for Robust Point Cloud Classification. IEEE Trans. Inf. Forensics Secur. Yu-Xin Zhang, Jie Gui, Minjing Dong, Xiaofeng Cong, Yuan Cao, Xin Gong, Yuan Yan Tang, James Tin-Yau Kwok
2025	J	`jnl`	Exploring the Coordination of Frequency and Attention in Masked Image Modeling. IEEE Trans. Image Process. Jie Gui, Tuo Chen, Minjing Dong, Zhengqi Liu, Hao Luo, James Tin-Yau Kwok, Yuan Yan Tang
2025	J	`jnl`	Improving Fast Adversarial Training via Self-Knowledge Guidance. IEEE Trans. Inf. Forensics Secur. Chengze Jiang, Junkai Wang, Minjing Dong, Jie Gui, Xinli Shi, Yuan Cao, Yuan Yan Tang, James Tin-Yau Kwok
2025	J	`jnl`	No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection With Data Augmentation. IEEE Trans. Comput. Soc. Syst. Biwei Cao, Jiuxin Cao, Lulu Hua, Xin Guan, Bo Liu, ChengLong He, Jie Gui, James Tin-Yau Kwok
2025	J	`jnl`	Unrevealed Threats: Adversarial Robustness Analysis of Underwater Image Enhancement Models. IEEE Trans. Multim. Siyu Zhai, Zhibo He, Xiaofeng Cong, Junming Hou, Jie Gui, Jian Wei You, Xin Gong, James Tin-Yau Kwok, Yuan Yan Tang
2024	J	`jnl`	Automated Dominative Subspace Mining for Efficient Neural Architecture Search. IEEE Trans. Circuits Syst. Video Technol. Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, James Tin-Yau Kwok, Mingkui Tan
2024	J	`jnl`	CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition. CoRR Yifan Wang, Jie Gui, Yuan Yan Tang, James Tin-Yau Kwok
2024	J	`jnl`	CFVNet: An End-to-End Cancelable Finger Vein Network for Recognition. IEEE Trans. Inf. Forensics Secur. Yifan Wang, Jie Gui, Yuan Yan Tang, James Tin-Yau Kwok
2024	J	`jnl`	Constructing Diverse Inlier Consistency for Partial Point Cloud Registration. IEEE Trans. Image Process. Yu-Xin Zhang, Jie Gui, James Tin-Yau Kwok
2024	J	`jnl`	Fooling the Image Dehazing Models by First Order Gradient. IEEE Trans. Circuits Syst. Video Technol. Jie Gui, Xiaofeng Cong, Chengwei Peng, Yuan Yan Tang, James Tin-Yau Kwok
2024	J	`jnl`	Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding. IEEE Trans. Multim. Jie Gui, Xiaofeng Cong, Lei He, Yuan Yan Tang, James Tin-Yau Kwok
2024	J	`jnl`	Improving Fast Adversarial Training via Self-Knowledge Guidance. CoRR Chengze Jiang, Junkai Wang, Minjing Dong, Jie Gui, Xinli Shi, Yuan Cao, Yuan Yan Tang, James Tin-Yau Kwok
2024	J	`jnl`	Response Generation in Social Network With Topic and Emotion Constraints. IEEE Trans. Comput. Soc. Syst. Biwei Cao, Jiuxin Cao, Bo Liu, Jie Gui, Jun Zhou, Yuan Yan Tang, James Tin-Yau Kwok
2024	J	`jnl`	Underwater Organism Color Enhancement via Color Code Decomposition, Adaptation and Interpolation. CoRR Xiaofeng Cong, Jing Zhang, Yeying Jin, Junming Hou, Yu Zhao, Jie Gui, James Tin-Yau Kwok, Yuan Yan Tang
2024	J	`jnl`	Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models. CoRR Siyu Zhai, Zhibo He, Xiaofeng Cong, Junming Hou, Jie Gui, Jian Wei You, Xin Gong, James Tin-Yau Kwok, Yuan Yan Tang
2023	J	`jnl`	Adversarial Attack and Defense for Dehazing Networks. CoRR Jie Gui, Xiaofeng Cong, Chengwei Peng, Yuan Yan Tang, James Tin-Yau Kwok
2023	J	`jnl`	AlignVE: Visual Entailment Recognition Based on Alignment Relations. IEEE Trans. Multim. Biwei Cao, Jiuxin Cao, Jie Gui, Jiayun Shen, Bo Liu, Lei He, Yuan Yan Tang, James Tin-Yau Kwok
2023	J	`jnl`	Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding. CoRR Jie Gui, Xiaofeng Cong, Lei He, Yuan Yan Tang, James Tin-Yau Kwok
2023	J	`jnl`	Learning the Relation Between Similarity Loss and Clustering Loss in Self-Supervised Learning. IEEE Trans. Image Process. Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Tin-Yau Kwok, Liguo Huang, Bin Luo
2023	J	`jnl`	Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning. CoRR Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Tin-Yau Kwok, Liguo Huang, Bin Luo
2023	J	`jnl`	No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation. CoRR Biwei Cao, Lulu Hua, Jiuxin Cao, Jie Gui, Bo Liu, James Tin-Yau Kwok
2022	J	`jnl`	AlignVE: Visual Entailment Recognition Based on Alignment Relations. CoRR Biwei Cao, Jiuxin Cao, Jie Gui, Jiayun Shen, Bo Liu, Lei He, Yuan Yan Tang, James Tin-Yau Kwok
2022	J	`jnl`	New transformation method in continuous particle swarm optimisation for feature selection. Int. J. Wirel. Mob. Comput. Kangshun Li, Dunmin Chen, Zhaolian Zeng, Guang Chen, James Tin-Yau Kwok
2021	J	`jnl`	Learning to Hash With Dimension Analysis Based Quantizer for Image Retrieval. IEEE Trans. Multim. Yuan Cao, Heng Qi, Jie Gui, Keqiu Li, Yuan Yan Tang, James Tin-Yau Kwok
2021	A*	`conf`	SparseBERT: Rethinking the Importance Analysis in Self-attention. ICML Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok
2020	A*	`conf`	Searching to Exploit Memorization Effect in Learning with Noisy Labels. ICML Quanming Yao, Hansi Yang, Bo Han, Gang Niu, James Tin-Yau Kwok
2019	A*	`conf`	Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML Quanming Yao, James Tin-Yau Kwok, Bo Han
2018	A*	`conf`	Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data. ICML Shuai Zheng, James Tin-Yau Kwok
2018	A*	`conf`	Online Convolutional Sparse Coding with Sample-Dependent Dictionary. ICML Yaqing Wang, Quanming Yao, James Tin-Yau Kwok, Lionel M. Ni
2017	J	`jnl`	A Note on the Unification of Adaptive Online Learning. IEEE Trans. Neural Networks Learn. Syst. Wenwu He, James Tin-Yau Kwok, Ji Zhu, Yang Liu
2017	A*	`conf`	Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm. AAAI Xiawei Guo, Quanming Yao, James Tin-Yau Kwok
2016	J	`jnl`	Fast Nonsmooth Regularized Risk Minimization with Continuation. CoRR Shuai Zheng, Ruiliang Zhang, James Tin-Yau Kwok
2015	J	`jnl`	Fast Low-Rank Matrix Learning with Nonconvex Regularization. CoRR Quanming Yao, James Tin-Yau Kwok, Wenliang Zhong
2015	—	`ch.`	Machine Learning. Handbook of Computational Intelligence James Tin-Yau Kwok, Zhi-Hua Zhou, Lei Xu
2014	A	`conf`	Accelerated Stochastic Gradient Method for Composite Regularization. AISTATS Wenliang Zhong, James Tin-Yau Kwok
2014	A*	`conf`	Fast Stochastic Alternating Direction Method of Multipliers. ICML Wenliang Zhong, James Tin-Yau Kwok
2013	—	`conf`	Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels. ICML (3) Kai Zhang, Vincent Wenchen Zheng, Qiaojun Wang, James Tin-Yau Kwok, Qiang Yang, Ivan Marsic
2013	—	`conf`	Efficient Multi-label Classification with Many Labels. ICML (3) Wei Bi, James Tin-Yau Kwok
2012	J	`jnl`	A brief introduction to the special issue for ISNN2010. Neurocomputing Liqing Zhang, James Tin-Yau Kwok, Changshui Zhang
2012	J	`jnl`	Convex Multitask Learning with Flexible Task Clusters CoRR Wenliang Zhong, James Tin-Yau Kwok
2012	A*	`conf`	Convex Multitask Learning with Flexible Task Clusters. ICML Wenliang Zhong, James Tin-Yau Kwok
2011	J	`jnl`	A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions. IEEE Trans. Syst. Man Cybern. Part B Shutao Li, Mingkui Tan, Ivor W. Tsang, James Tin-Yau Kwok
2010	—	`ed.`	Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I ISNN (1) Liqing Zhang, Bao-Liang Lu, James Tin-Yau Kwok
2010	—	`ed.`	Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II ISNN (2) Liqing Zhang, Bao-Liang Lu, James Tin-Yau Kwok
2010	J	`jnl`	Text detection in images using sparse representation with discriminative dictionaries. Image Vis. Comput. Ming Zhao, Shutao Li, James Tin-Yau Kwok
2009	J	`jnl`	Building Sparse Multiple-Kernel SVM Classifiers. IEEE Trans. Neural Networks Mingqing Hu, Yiqiang Chen, James Tin-Yau Kwok
2009	A*	`conf`	Maximum Margin Clustering with Multivariate Loss Function. ICDM Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
2009	J	`jnl`	Maximum Penalized Likelihood Kernel Regression for Fast Adaptation. IEEE Trans. Speech Audio Process. Brian Kan-Wing Mak, Tsz-Chung Lai, Ivor W. Tsang, James Tin-Yau Kwok
2009	A	`conf`	Tighter and Convex Maximum Margin Clustering. AISTATS Yufeng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou
2009	A*	`conf`	Unsupervised Maximum Margin Feature Selection with manifold regularization. CVPR Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui Zhang
2008	J	`jnl`	Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines. IEEE Trans. Neural Networks Ivor Wai-Hung Tsang, András Kocsor, James Tin-Yau Kwok
2008	—	`ed.`	Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings SSPR/SPR Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James Tin-Yau Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog
2006	J	`jnl`	Efficient hyperkernel learning using second-order cone programming. IEEE Trans. Neural Networks Ivor Wai-Hung Tsang, James Tin-Yau Kwok
2006	J	`jnl`	Generalized Core Vector Machines. IEEE Trans. Neural Networks Ivor Wai-Hung Tsang, James Tin-Yau Kwok, Jacek M. Zurada
2005	J	`jnl`	Kernel Eigenvoice Speaker Adaptation. IEEE Trans. Speech Audio Process. Brian Mak, James Tin-Yau Kwok, Simon Ka-Lung Ho
2005	B	`conf`	Kernel relevant component analysis for distance metric learning. IJCNN Ivor Wai-Hung Tsang, Pak-Ming Cheung, James Tin-Yau Kwok
2005	B	`conf`	Pattern de-noising based on support vector data description. IJCNN Jooyoung Park, Daesung Kang, Jongho Kim, James Tin-Yau Kwok, Ivor Wai-Hung Tsang
2005	A	`conf`	Very Large SVM Training using Core Vector Machines. AISTATS Ivor W. Tsang, James Tin-Yau Kwok, Pak-Ming Cheung
2004	J	`jnl`	Fusing images with different focuses using support vector machines. IEEE Trans. Neural Networks Shutao Li, James Tin-Yau Kwok, Ivor Wai-Hung Tsang, Yaonan Wang
2004	J	`jnl`	The pre-image problem in kernel methods. IEEE Trans. Neural Networks James Tin-Yau Kwok, Ivor Wai-Hung Tsang
2001	A	`conf`	Bayesian Support Vector Regression. AISTATS Martin H. C. Law, James Tin-Yau Kwok
2000	B	`conf`	An extended genetic rule induction algorithm. CEC J. Juan Liu, James Tin-Yau Kwok
2000	J	`jnl`	The evidence framework applied to support vector machines. IEEE Trans. Neural Networks Learn. Syst. James Tin-Yau Kwok
1999	B	`conf`	Integrating the evidence framework and the support vector machine. ESANN James Tin-Yau Kwok
1999	B	`conf`	Moderating the outputs of support vector machine classifiers. IJCNN James Tin-Yau Kwok
1999	J	`jnl`	Moderating the outputs of support vector machine classifiers. IEEE Trans. Neural Networks James Tin-Yau Kwok
1998	B	`conf`	Automated Text Categorization Using Support Vector Machine. ICONIP James Tin-Yau Kwok
1998	B	`conf`	Support vector mixture for classification and regression problems. ICPR James Tin-Yau Kwok
1997	J	`jnl`	Constructive algorithms for structure learning in feedforward neural networks for regression problems. IEEE Trans. Neural Networks James Tin-Yau Kwok, Dit-Yan Yeung
1997	J	`jnl`	Objective functions for training new hidden units in constructive neural networks. IEEE Trans. Neural Networks James Tin-Yau Kwok, Dit-Yan Yeung
1996	C	`conf`	Bayesian Regularization in Constructive Neural Networks. ICANN James Tin-Yau Kwok, Dit-Yan Yeung
1996	J	`jnl`	Use of bias term in projection pursuit learning improves approximation and convergence properties. IEEE Trans. Neural Networks James Tin-Yau Kwok, Dit-Yan Yeung
1995	—	`conf`	Efficient cross-validation for feedforward neural networks. ICNN James Tin-Yau Kwok, Dit-Yan Yeung
1995	J	`jnl`	Improving the approximation and convergence capabilities of projection pursuit learning. Neural Process. Lett. James Tin-Yau Kwok, Dit-Yan Yeung
1993	—	`conf`	Experimental analysis of input weight freezing in constructive neural networks. ICNN James Tin-Yau Kwok, Dit-Yan Yeung