James Tin-Yau Kwok

James T. Kwok

	2009
72		Yu-Feng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou: A Convex Method for Locating Regions of Interest with Multi-instance Learning. ECML/PKDD (2) 2009: 15-30
71		Kai Zhang, James T. Kwok, Bahram Parvin: Prototype vector machine for large scale semi-supervised learning. ICML 2009: 155
70		Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou: Semi-supervised learning using label mean. ICML 2009: 80
69		Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang: Domain Adaptation via Transfer Component Analysis. IJCAI 2009: 1187-1192
68		Bin Zhao, James T. Kwok, Changshui Zhang: Multiple Kernel Clustering. SDM 2009: 638-649
67		Brian Kan-Wing Mak, Tsz-Chung Lai, Ivor W. Tsang, James Tin-Yau Kwok: Maximum Penalized Likelihood Kernel Regression for Fast Adaptation. IEEE Transactions on Audio, Speech & Language Processing 17(7): 1372-1381 (2009)
66		Kai Zhang, James T. Kwok: Density-Weighted Nyström Method for Computing Large Kernel Eigensystems. Neural Computation 21(1): 121-146 (2009)
	2008
65		Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James Tin-Yau Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog: Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings Springer 2008
64		Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. Kwok: Transferring Localization Models across Space. AAAI 2008: 1383-1388
63		Sinno Jialin Pan, James T. Kwok, Qiang Yang: Transfer Learning via Dimensionality Reduction. AAAI 2008: 677-682
62		Kai Zhang, Ivor W. Tsang, James T. Kwok: Improved Nyström low-rank approximation and error analysis. ICML 2008: 1232-1239
61		Xianchao Xie, Shuicheng Yan, James T. Kwok, Thomas S. Huang: Matrix-Variate Factor Analysis and Its Applications. IEEE Transactions on Neural Networks 19(10): 1821-1826 (2008)
60		Ivor Wai-Hung Tsang, András Kocsor, James Tin-Yau Kwok: Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines. IEEE Transactions on Neural Networks 19(4): 610-624 (2008)
	2007
59		Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffrey Junfeng Pan: Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning. AAAI 2007: 1108-1113
58		Kai Zhang, Ivor W. Tsang, James T. Kwok: Maximum margin clustering made practical. ICML 2007: 1119-1126
57		Ivor W. Tsang, András Kocsor, James T. Kwok: Simpler core vector machines with enclosing balls. ICML 2007: 911-918
56		Ivor W. Tsang, James T. Kwok: Ensembles of Partially Trained SVMs with Multiplicative Updates. IJCAI 2007: 1089-1094
55		James T. Kwok, Pak-Ming Cheung: Marginalized Multi-Instance Kernels. IJCAI 2007: 901-906
54		James T. Kwok, Ivor Wai-Hung Tsang, Jacek M. Zurada: A Class of Single-Class Minimax Probability Machines for Novelty Detection. IEEE Transactions on Neural Networks 18(3): 778-785 (2007)
53		Patrick C. K. Hung, Dickson K. W. Chiu, W. W. Fung, William K. Cheung, Raymond K. Wong, Samuel P. M. Choi, Eleanna Kafeza, James T. Kwok, Joshua C. C. Pun, Vivying S. Y. Cheng: End-to-end privacy control in service outsourcing of human intensive processes: A multi-layered Web service integration approach. Information Systems Frontiers 9(1): 85-101 (2007)
52		Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Surrogate maximization/minimization algorithms and extensions. Machine Learning 69(1): 1-33 (2007)
51		Jooyoung Park, Daesung Kang, Jongho Kim, James T. Kwok, Ivor W. Tsang: SVDD-Based Pattern Denoising. Neural Computation 19(7): 1919-1938 (2007)
50		Fei Wang, Jingdong Wang, Changshui Zhang, James T. Kwok: Face recognition using spectral features. Pattern Recognition 40(10): 2786-2797 (2007)
	2006
49		Dit-Yan Yeung, James T. Kwok, Ana L. N. Fred, Fabio Roli, Dick de Ridder: Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006, Proceedings Springer 2006
48		Kai Zhang, James T. Kwok, Ming Tang: Accelerated Convergence Using Dynamic Mean Shift. ECCV (2) 2006: 257-268
47		Ivor W. Tsang, András Kocsor, James T. Kwok: Diversified SVM Ensembles for Large Data Sets. ECML 2006: 792-800
46		Jooyoung Park, Daesung Kang, James T. Kwok, Sang-Woong Lee, Bon-Woo Hwang, Seong-Whan Lee: Facial Image Reconstruction by SVDD-Based Pattern De-noising. ICB 2006: 129-135
45		Kai Zhang, James T. Kwok: Block-quantized kernel matrix for fast spectral embedding. ICML 2006: 1097-1104
44		Pak-Ming Cheung, James T. Kwok: A regularization framework for multiple-instance learning. ICML 2006: 193-200
43		Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwok: Locally adaptive classification piloted by uncertainty. ICML 2006: 225-232
42		Shutao Li, Chen Liao, James T. Kwok: Gene Feature Extraction Using T-Test Statistics and Kernel Partial Least Squares. ICONIP (3) 2006: 11-20
41		Shutao Li, Jinglin Peng, James T. Kwok, Jing Zhang: Multimodal Registration using the Discrete Wavelet Frame Transform. ICPR (3) 2006: 877-880
40		Ivor W. Tsang, James T. Kwok, Shutao Li: Learning the Kernel in Mahalanobis One-Class Support Vector Machines. IJCNN 2006: 1169-1175
39		Ken Chen, Bao-Liang Lu, James T. Kwok: Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers. IJCNN 2006: 1770-1775
38		Shutao Li, Chen Liao, James T. Kwok: Wavelet-Based Feature Extraction for Microarray Data Classification. IJCNN 2006: 5028-5033
37		Ivor W. Tsang, András Kocsor, James T. Kwok: Efficient kernel feature extraction for massive data sets. KDD 2006: 724-729
36		Ivor W. Tsang, James T. Kwok: Large-Scale Sparsified Manifold Regularization. NIPS 2006: 1401-1408
35		Kai Zhang, James T. Kwok: Simplifying Mixture Models through Function Approximation. NIPS 2006: 1577-1584
34		Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen: Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing. IEEE Trans. Knowl. Data Eng. 18(9): 1181-1193 (2006)
33		Brian Kan-Wing Mak, Roger Wend-Huu Hsiao, Simon Ka-Lung Ho, James T. Kwok: Embedded kernel eigenvoice speaker adaptation and its implication to reference speaker weighting. IEEE Transactions on Audio, Speech & Language Processing 14(4): 1267-1280 (2006)
32		Ivor Wai-Hung Tsang, James Tin-Yau Kwok: Efficient hyperkernel learning using second-order cone programming. IEEE Transactions on Neural Networks 17(1): 48-58 (2006)
31		Ivor Wai-Hung Tsang, James Tin-Yau Kwok, Jacek M. Zurada: Generalized Core Vector Machines. IEEE Transactions on Neural Networks 17(5): 1126-1140 (2006)
30		Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Model-based transductive learning of the kernel matrix. Machine Learning 63(1): 69-101 (2006)
	2005
29		Kai Zhang, Ming Tang, James T. Kwok: Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation. CVPR (2) 2005: 1001-1007
28		Patrick C. K. Hung, Dickson K. W. Chiu, W. W. Fung, William K. Cheung, Raymond K. Wong, Samuel P. M. Choi, Eleanna Kafeza, James T. Kwok, Joshua C. C. Pun, Vivying S. Y. Cheng: Towards end-to-end privacy control in the outsourcing of marketing activities: a web service integration solution. ICEC 2005: 454-461
27		Ivor W. Tsang, James T. Kwok, Kimo T. Lai: Core Vector Regression for very large regression problems. ICML 2005: 912-919
26		Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen: Accurate and Low-cost Location Estimation Using Kernels. IJCAI 2005: 1366-1371
25		Brian Mak, James Tin-Yau Kwok, Simon Ka-Lung Ho: Kernel Eigenvoice Speaker Adaptation. IEEE Transactions on Speech and Audio Processing 13(5-2): 984-992 (2005)
24		Ivor W. Tsang, James T. Kwok, Pak-Ming Cheung: Core Vector Machines: Fast SVM Training on Very Large Data Sets. Journal of Machine Learning Research 6: 363-392 (2005)
	2004
23		Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan Yeung: Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo. AAAI 2004: 372-377
22		Ivor W. Tsang, James T. Kwok: Efficient Hyperkernel Learning Using Second-Order Cone Programming. ECML 2004: 453-464
21		Zhihua Zhang, Dit-Yan Yeung, James T. Kwok: Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm. ICML 2004
20		Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. ICML 2004
19		Victor Cheng, Chun Hung Li, James T. Kwok, Chi-Kwong Li: Dissimilarity learning for nominal data. Pattern Recognition 37(7): 1471-1477 (2004)
	2003
18		James T. Kwok, Ivor W. Tsang: Learning with Idealized Kernels. ICML 2003: 400-407
17		James T. Kwok, Ivor W. Tsang: The Pre-Image Problem in Kernel Methods. ICML 2003: 408-415
16		Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Parametric Distance Metric Learning with Label Information. IJCAI 2003: 1450-
15		James T. Kwok, Brian Mak, Simon Ho: Eigenvoice Speaker Adaptation via Composite Kernel PCA. NIPS 2003
14		Kwok-Wai Cheung, James T. Kwok, Martin H. C. Law, Kwok Ching Tsui: Mining customer product ratings for personalized marketing. Decision Support Systems 35(2): 231-243 (2003)
13		Shutao Li, James T. Kwok, Hailong Zhu, Yaonan Wang: Texture classification using the support vector machines. Pattern Recognition 36(12): 2883-2893 (2003)
	2002
12		Shutao Li, James T. Kwok, Yaonan Wang: Fusing Images with Multiple Focuses Using Support Vector Machines. ICANN 2002: 1287-1292
11		Hailong Zhu, James T. Kwok, Liangsheng Qu: Improving De-Noising by Coefficient De-Noising and Dyadic Wavelet Transform. ICPR (2) 2002: 273-
10		Shutao Li, James T. Kwok, Yaonan Wang: Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images. Information Fusion 3(1): 17-23 (2002)
9		Shutao Li, James T. Kwok, Yaonan Wang: Multifocus image fusion using artificial neural networks. Pattern Recognition Letters 23(8): 985-997 (2002)
	2001
8		Martin H. C. Law, James T. Kwok: Applying the Bayesian Evidence Framework to \nu -Support Vector Regression. ECML 2001: 312-323
7		James T. Kwok: Linear Dependency between epsilon and the Input Noise in epsilon-Support Vector Regression. ICANN 2001: 405-410
6		Shutao Li, James T. Kwok, Yaonan Wang: Combination of images with diverse focuses using the spatial frequency. Information Fusion 2(3): 169-176 (2001)
	2000
5		Martin H. C. Law, James T. Kwok: Rival Penalized Competitive Learning for Model-Based Sequence Clustering. ICPR 2000: 2195-2198
	1999
4		James Tin-Yau Kwok: Integrating the evidence framework and the support vector machine. ESANN 1999: 177-182
3		James Tin-Yau Kwok: Moderating the outputs of support vector machine classifiers. IEEE Transactions on Neural Networks 10(5): 1018-1031 (1999)
	1998
2		James Tin-Yau Kwok: Automated Text Categorization Using Support Vector Machine. ICONIP 1998: 347-351
	1996
1		James Tin-Yau Kwok, Dit-Yan Yeung: Bayesian Regularization in Constructive Neural Networks. ICANN 1996: 557-562

Coauthor Index

1	Georgios C. Anagnostopoulos	[65]
2	Kap Luk Chan	[23]
3	Ken Chen	[39]
4	Yiqiang Chen	[26] [34]
5	Victor Cheng	[19]
6	Vivying S. Y. Cheng	[28] [53]
7	Pak-Ming Cheung	[24] [44] [55]
8	William Kwok-Wai Cheung (Kwok-Wai Cheung, William K. Cheung)	[14] [28] [53]
9	Dickson K. W. Chiu	[28] [53]
10	Samuel P. M. Choi	[28] [53]
11	Juan Dai	[43]
12	Ana L. N. Fred	[49]
13	W. W. Fung	[28] [53]
14	Michael Georgiopoulos	[65]
15	Simon Ho	[15]
16	Simon Ka-Lung Ho	[25] [33]
17	Roger Wend-Huu Hsiao	[33]
18	Thomas S. Huang	[61]
19	Patrick C. K. Hung	[28] [53]
20	Bon-Woo Hwang	[46]
21	Eleanna Kafeza	[28] [53]
22	Daesung Kang	[46] [51]
23	Takis Kasparis	[65]
24	Jongho Kim	[51]
25	András Kocsor	[37] [47] [57] [60]
26	Kimo T. Lai	[27]
27	Tsz-Chung Lai	[67]
28	Martin H. C. Law	[5] [8] [14]
29	Sang-Woong Lee	[46]
30	Seong-Whan Lee	[46]
31	Chi-Kwong Li	[19]
32	Chun-hung Li (Chun Hung Li)	[19]
33	Shutao Li	[6] [9] [10] [12] [13] [38] [40] [41] [42]
34	Yu-Feng Li	[70] [72]
35	Chen Liao	[38] [42]
36	Niels da Vitoria Lobo	[65]
37	Marco Loog	[65]
38	Bao-Liang Lu	[39]
39	Brian Mak	[15] [25]
40	Brian Kan-Wing Mak	[33] [67]
41	Jeffrey Junfeng Pan	[26] [34] [59]
42	Sinno Jialin Pan	[59] [63] [64] [69]
43	Jooyoung Park	[46] [51]
44	Bahram Parvin	[71]
45	Jinglin Peng	[41]
46	Joshua C. C. Pun	[28] [53]
47	Liangsheng Qu	[11]
48	Dick de Ridder	[49]
49	Fabio Roli	[49] [65]
50	Dou Shen	[64]
51	Ming Tang	[29] [48]
52	Xiaoou Tang	[43]
53	Ivor W. Tsang	[17] [18] [22] [24] [27] [36] [37] [40] [47] [51] [56] [57] [58] [62] [67] [69] [72]
54	Ivor Wai-Hung Tsang	[31] [32] [54] [60]
55	Kwok Ching Tsui	[14]
56	Fei Wang	[50]
57	Jingdong Wang	[50]
58	Yaonan Wang	[6] [9] [10] [12] [13]
59	Raymond K. Wong	[28] [53]
60	Xianchao Xie	[61]
61	Shuicheng Yan	[43] [61]
62	Qiang Yang	[26] [34] [59] [63] [64] [69]
63	Dit-Yan Yeung	[1] [16] [20] [21] [23] [30] [49] [52]
64	Changshui Zhang (Chang-shui Zhang)	[50] [68]
65	Jing Zhang	[41]
66	Kai Zhang	[29] [35] [45] [48] [58] [62] [66] [71]
67	Zhihua Zhang	[16] [20] [21] [23] [30] [52]
68	Bin Zhao	[68]
69	Zhi-Hua Zhou	[70] [72]
70	Hailong Zhu	[11] [13]
71	Jacek M. Zurada	[31] [54]

Colors in the list of coauthors