James Tin-Yau Kwok

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 18

Top Topics

Particle Swarm Optimisation

Image Retrieval

Discriminative Dictionary

Top Venues

IEEE Trans. Multim.

Publications

Jie Gui, Xiaofeng Cong, Lei He, Yuan Yan Tang, James Tin-Yau Kwok
Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding. IEEE Trans. Multim. 26 (2024)
Jie Gui, Xiaofeng Cong, Chengwei Peng, Yuan Yan Tang, James Tin-Yau Kwok
Adversarial Attack and Defense for Dehazing Networks. CoRR (2023)
Biwei Cao, Lulu Hua, Jiuxin Cao, Jie Gui, Bo Liu, James Tin-Yau Kwok
No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation. CoRR (2023)
Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Tin-Yau Kwok, LiGuo Huang, Bin Luo
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning. CoRR (2023)
Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Tin-Yau Kwok, Liguo Huang, Bin Luo
Learning the Relation Between Similarity Loss and Clustering Loss in Self-Supervised Learning. IEEE Trans. Image Process. 32 (2023)
Biwei Cao, Jiuxin Cao, Jie Gui, Jiayun Shen, Bo Liu, Lei He, Yuan Yan Tang, James Tin-Yau Kwok
AlignVE: Visual Entailment Recognition Based on Alignment Relations. IEEE Trans. Multim. 25 (2023)
Jie Gui, Xiaofeng Cong, Lei He, Yuan Yan Tang, James Tin-Yau Kwok
Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding. CoRR (2023)
Kangshun Li, Dunmin Chen, Zhaolian Zeng, Guang Chen, James Tin-Yau Kwok
New transformation method in continuous particle swarm optimisation for feature selection. Int. J. Wirel. Mob. Comput. 22 (2) (2022)
Biwei Cao, Jiuxin Cao, Jie Gui, Jiayun Shen, Bo Liu, Lei He, Yuan Yan Tang, James Tin-Yau Kwok
AlignVE: Visual Entailment Recognition Based on Alignment Relations. CoRR (2022)
Yuan Cao, Heng Qi, Jie Gui, Keqiu Li, Yuan Yan Tang, James Tin-Yau Kwok
Learning to Hash With Dimension Analysis Based Quantizer for Image Retrieval. IEEE Trans. Multim. 23 (2021)
Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok
SparseBERT: Rethinking the Importance Analysis in Self-attention. ICML (2021)
Quanming Yao, Hansi Yang, Bo Han, Gang Niu, James Tin-Yau Kwok
Searching to Exploit Memorization Effect in Learning with Noisy Labels. ICML (2020)
Quanming Yao, James Tin-Yau Kwok, Bo Han
Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML (2019)
Yaqing Wang, Quanming Yao, James Tin-Yau Kwok, Lionel M. Ni
Online Convolutional Sparse Coding with Sample-Dependent Dictionary. ICML (2018)
Shuai Zheng, James Tin-Yau Kwok
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data. ICML (2018)
Wenwu He, James Tin-Yau Kwok, Ji Zhu, Yang Liu
A Note on the Unification of Adaptive Online Learning. IEEE Trans. Neural Networks Learn. Syst. 28 (5) (2017)
Xiawei Guo, Quanming Yao, James Tin-Yau Kwok
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm. AAAI (2017)
Shuai Zheng, Ruiliang Zhang, James Tin-Yau Kwok
Fast Nonsmooth Regularized Risk Minimization with Continuation. CoRR (2016)
Quanming Yao, James Tin-Yau Kwok, Wenliang Zhong
Fast Low-Rank Matrix Learning with Nonconvex Regularization. CoRR (2015)
Wenliang Zhong, James Tin-Yau Kwok
Accelerated Stochastic Gradient Method for Composite Regularization. AISTATS (2014)
Wenliang Zhong, James Tin-Yau Kwok
Fast Stochastic Alternating Direction Method of Multipliers. ICML (2014)
Kai Zhang, Vincent Wenchen Zheng, Qiaojun Wang, James Tin-Yau Kwok, Qiang Yang, Ivan Marsic
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels. ICML (3) (2013)
Wei Bi, James Tin-Yau Kwok
Efficient Multi-label Classification with Many Labels. ICML (3) (2013)
Wenliang Zhong, James Tin-Yau Kwok
Convex Multitask Learning with Flexible Task Clusters. ICML (2012)
Liqing Zhang, James Tin-Yau Kwok, Changshui Zhang
A brief introduction to the special issue for ISNN2010. Neurocomputing 76 (1) (2012)
Wenliang Zhong, James Tin-Yau Kwok
Convex Multitask Learning with Flexible Task Clusters CoRR (2012)
Shutao Li, Mingkui Tan, Ivor W. Tsang, James Tin-Yau Kwok
A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions. IEEE Trans. Syst. Man Cybern. Part B 41 (4) (2011)
Ming Zhao, Shutao Li, James Tin-Yau Kwok
Text detection in images using sparse representation with discriminative dictionaries. Image Vis. Comput. 28 (12) (2010)
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui Zhang
Unsupervised Maximum Margin Feature Selection with manifold regularization. CVPR (2009)
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
Maximum Margin Clustering with Multivariate Loss Function. ICDM (2009)
Mingqing Hu, Yiqiang Chen, James Tin-Yau Kwok
Building Sparse Multiple-Kernel SVM Classifiers. IEEE Trans. Neural Networks 20 (5) (2009)
Yu-Feng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou
Tighter and Convex Maximum Margin Clustering. AISTATS (2009)
Brian Kan-Wing Mak, Tsz-Chung Lai, Ivor W. Tsang, James Tin-Yau Kwok
Maximum Penalized Likelihood Kernel Regression for Fast Adaptation. IEEE Trans. Speech Audio Process. 17 (7) (2009)
Ivor Wai-Hung Tsang, András Kocsor, James Tin-Yau Kwok
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines. IEEE Trans. Neural Networks 19 (4) (2008)
Ivor Wai-Hung Tsang, James Tin-Yau Kwok, Jacek M. Zurada
Generalized Core Vector Machines. IEEE Trans. Neural Networks 17 (5) (2006)
Ivor Wai-Hung Tsang, James Tin-Yau Kwok
Efficient hyperkernel learning using second-order cone programming. IEEE Trans. Neural Networks 17 (1) (2006)
Ivor W. Tsang, James Tin-Yau Kwok, Pak-Ming Cheung
Very Large SVM Training using Core Vector Machines. AISTATS (2005)
Brian Mak, James Tin-Yau Kwok, Simon Ka-Lung Ho
Kernel Eigenvoice Speaker Adaptation. IEEE Trans. Speech Audio Process. 13 (5-2) (2005)
Shutao Li, James Tin-Yau Kwok, Ivor Wai-Hung Tsang, Yaonan Wang
Fusing images with different focuses using support vector machines. IEEE Trans. Neural Networks 15 (6) (2004)
James Tin-Yau Kwok, Ivor Wai-Hung Tsang
The pre-image problem in kernel methods. IEEE Trans. Neural Networks 15 (6) (2004)
Martin H. C. Law, James Tin-Yau Kwok
Bayesian Support Vector Regression. AISTATS (2001)
James Tin-Yau Kwok
The evidence framework applied to support vector machines. IEEE Trans. Neural Networks Learn. Syst. 11 (5) (2000)
James Tin-Yau Kwok
Integrating the evidence framework and the support vector machine. ESANN (1999)
James Tin-Yau Kwok
Moderating the outputs of support vector machine classifiers. IEEE Trans. Neural Networks 10 (5) (1999)
James Tin-Yau Kwok
Moderating the outputs of support vector machine classifiers. IJCNN (1999)
James Tin-Yau Kwok
Automated Text Categorization Using Support Vector Machine. ICONIP (1998)
James Tin-Yau Kwok
Support vector mixture for classification and regression problems. ICPR (1998)
James Tin-Yau Kwok, Dit-Yan Yeung
Constructive algorithms for structure learning in feedforward neural networks for regression problems. IEEE Trans. Neural Networks 8 (3) (1997)
James Tin-Yau Kwok, Dit-Yan Yeung
Objective functions for training new hidden units in constructive neural networks. IEEE Trans. Neural Networks 8 (5) (1997)
James Tin-Yau Kwok, Dit-Yan Yeung
Bayesian Regularization in Constructive Neural Networks. ICANN (1996)
James Tin-Yau Kwok, Dit-Yan Yeung
Use of bias term in projection pursuit learning improves approximation and convergence properties. IEEE Trans. Neural Networks 7 (5) (1996)
James Tin-Yau Kwok, Dit-Yan Yeung
Efficient cross-validation for feedforward neural networks. ICNN (1995)
James Tin-Yau Kwok, Dit-Yan Yeung
Improving the approximation and convergence capabilities of projection pursuit learning. Neural Process. Lett. 2 (3) (1995)
James Tin-Yau Kwok, Dit-Yan Yeung
Experimental analysis of input weight freezing in constructive neural networks. ICNN (1993)