James Tin-Yau Kwok

James T. Kwok

2008
61		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
60		Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. Kwok: Transferring Localization Models across Space. AAAI 2008: 1383-1388
59		Sinno Jialin Pan, James T. Kwok, Qiang Yang: Transfer Learning via Dimensionality Reduction. AAAI 2008: 677-682
58	EE	Kai Zhang, Ivor W. Tsang, James T. Kwok: Improved Nyström low-rank approximation and error analysis. ICML 2008: 1232-1239
2007
57		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
56	EE	Kai Zhang, Ivor W. Tsang, James T. Kwok: Maximum margin clustering made practical. ICML 2007: 1119-1126
55	EE	Ivor W. Tsang, András Kocsor, James T. Kwok: Simpler core vector machines with enclosing balls. ICML 2007: 911-918
54	EE	Ivor W. Tsang, James T. Kwok: Ensembles of Partially Trained SVMs with Multiplicative Updates. IJCAI 2007: 1089-1094
53	EE	James T. Kwok, Pak-Ming Cheung: Marginalized Multi-Instance Kernels. IJCAI 2007: 901-906
52	EE	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)
51	EE	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)
50	EE	Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Surrogate maximization/minimization algorithms and extensions. Machine Learning 69(1): 1-33 (2007)
49	EE	Jooyoung Park, Daesung Kang, Jongho Kim, James T. Kwok, Ivor W. Tsang: SVDD-Based Pattern Denoising. Neural Computation 19(7): 1919-1938 (2007)
2006
48		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
47	EE	Kai Zhang, James T. Kwok, Ming Tang: Accelerated Convergence Using Dynamic Mean Shift. ECCV (2) 2006: 257-268
46	EE	Ivor W. Tsang, András Kocsor, James T. Kwok: Diversified SVM Ensembles for Large Data Sets. ECML 2006: 792-800
45	EE	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
44	EE	Kai Zhang, James T. Kwok: Block-quantized kernel matrix for fast spectral embedding. ICML 2006: 1097-1104
43	EE	Pak-Ming Cheung, James T. Kwok: A regularization framework for multiple-instance learning. ICML 2006: 193-200
42	EE	Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwok: Locally adaptive classification piloted by uncertainty. ICML 2006: 225-232
41	EE	Shutao Li, Chen Liao, James T. Kwok: Gene Feature Extraction Using T-Test Statistics and Kernel Partial Least Squares. ICONIP (3) 2006: 11-20
40	EE	Shutao Li, Jinglin Peng, James T. Kwok, Jing Zhang: Multimodal Registration using the Discrete Wavelet Frame Transform. ICPR (3) 2006: 877-880
39	EE	Ivor W. Tsang, James T. Kwok, Shutao Li: Learning the Kernel in Mahalanobis One-Class Support Vector Machines. IJCNN 2006: 1169-1175
38	EE	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
37	EE	Shutao Li, Chen Liao, James T. Kwok: Wavelet-Based Feature Extraction for Microarray Data Classification. IJCNN 2006: 5028-5033
36	EE	Ivor W. Tsang, András Kocsor, James T. Kwok: Efficient kernel feature extraction for massive data sets. KDD 2006: 724-729
35	EE	Ivor W. Tsang, James T. Kwok: Large-Scale Sparsified Manifold Regularization. NIPS 2006: 1401-1408
34	EE	Kai Zhang, James T. Kwok: Simplifying Mixture Models through Function Approximation. NIPS 2006: 1577-1584
33	EE	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)
32	EE	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)
31	EE	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)
30	EE	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)
29	EE	Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Model-based transductive learning of the kernel matrix. Machine Learning 63(1): 69-101 (2006)
2005
28	EE	Kai Zhang, Ming Tang, James T. Kwok: Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation. CVPR (2) 2005: 1001-1007
27	EE	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
26	EE	Ivor W. Tsang, James T. Kwok, Kimo T. Lai: Core Vector Regression for very large regression problems. ICML 2005: 912-919
25	EE	Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen: Accurate and Low-cost Location Estimation Using Kernels. IJCAI 2005: 1366-1371
24	EE	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	EE	Ivor W. Tsang, James T. Kwok: Efficient Hyperkernel Learning Using Second-Order Cone Programming. ECML 2004: 453-464
21	EE	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	EE	Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. ICML 2004
19	EE	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	EE	James T. Kwok, Brian Mak, Simon Ho: Eigenvoice Speaker Adaptation via Composite Kernel PCA. NIPS 2003
14	EE	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	EE	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	EE	Shutao Li, James T. Kwok, Yaonan Wang: Fusing Images with Multiple Focuses Using Support Vector Machines. ICANN 2002: 1287-1292
11	EE	Hailong Zhu, James T. Kwok, Liangsheng Qu: Improving De-Noising by Coefficient De-Noising and Dyadic Wavelet Transform. ICPR (2) 2002: 273-
10	EE	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	EE	Shutao Li, James T. Kwok, Yaonan Wang: Multifocus image fusion using artificial neural networks. Pattern Recognition Letters 23(8): 985-997 (2002)
2001
8	EE	Martin H. C. Law, James T. Kwok: Applying the Bayesian Evidence Framework to \nu -Support Vector Regression. ECML 2001: 312-323
7	EE	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	EE	Martin H. C. Law, James T. Kwok: Rival Penalized Competitive Learning for Model-Based Sequence Clustering. ICPR 2000: 2195-2198
1999
4	EE	James Tin-Yau Kwok: Integrating the evidence framework and the support vector machine. ESANN 1999: 177-182
3	EE	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	[61]
2	Kap Luk Chan	[23]
3	Ken Chen	[38]
4	Yiqiang Chen	[25] [33]
5	Victor Cheng	[19]
6	Vivying S. Y. Cheng	[27] [51]
7	Pak-Ming Cheung	[24] [43] [53]
8	William Kwok-Wai Cheung (Kwok-Wai Cheung, William K. Cheung)	[14] [27] [51]
9	Dickson K. W. Chiu	[27] [51]
10	Samuel P. M. Choi	[27] [51]
11	Juan Dai	[42]
12	Ana L. N. Fred	[48]
13	W. W. Fung	[27] [51]
14	Michael Georgiopoulos	[61]
15	Simon Ho	[15]
16	Simon Ka-Lung Ho	[32]
17	Roger Wend-Huu Hsiao	[32]
18	Patrick C. K. Hung	[27] [51]
19	Bon-Woo Hwang	[45]
20	Eleanna Kafeza	[27] [51]
21	Daesung Kang	[45] [49]
22	Takis Kasparis	[61]
23	Jongho Kim	[49]
24	András Kocsor	[36] [46] [55]
25	Kimo T. Lai	[26]
26	Martin H. C. Law	[5] [8] [14]
27	Sang-Woong Lee	[45]
28	Seong-Whan Lee	[45]
29	Chi-Kwong Li	[19]
30	Chun-hung Li (Chun Hung Li)	[19]
31	Shutao Li	[6] [9] [10] [12] [13] [37] [39] [40] [41]
32	Chen Liao	[37] [41]
33	Niels da Vitoria Lobo	[61]
34	Marco Loog	[61]
35	Bao-Liang Lu	[38]
36	Brian Mak	[15]
37	Brian Kan-Wing Mak	[32]
38	Jeffrey Junfeng Pan	[25] [33] [57]
39	Sinno Jialin Pan	[57] [59] [60]
40	Jooyoung Park	[45] [49]
41	Jinglin Peng	[40]
42	Joshua C. C. Pun	[27] [51]
43	Liangsheng Qu	[11]
44	Dick de Ridder	[48]
45	Fabio Roli	[48] [61]
46	Dou Shen	[60]
47	Ming Tang	[28] [47]
48	Xiaoou Tang	[42]
49	Ivor W. Tsang	[17] [18] [22] [24] [26] [35] [36] [39] [46] [49] [54] [55] [56] [58]
50	Ivor Wai-Hung Tsang	[30] [31] [52]
51	Kwok Ching Tsui	[14]
52	Yaonan Wang	[6] [9] [10] [12] [13]
53	Raymond K. Wong	[27] [51]
54	Shuicheng Yan	[42]
55	Qiang Yang	[25] [33] [57] [59] [60]
56	Dit-Yan Yeung	[1] [16] [20] [21] [23] [29] [48] [50]
57	Jing Zhang	[40]
58	Kai Zhang	[28] [34] [44] [47] [56] [58]
59	Zhihua Zhang	[16] [20] [21] [23] [29] [50]
60	Hailong Zhu	[11] [13]
61	Jacek M. Zurada	[30] [52]

Colors in the list of coauthors