James Tin-Yau Kwok

James T. Kwok

	2012
110		Jian-Hua Zhao, Philip L. H. Yu, James T. Kwok: Bilinear Probabilistic Principal Component Analysis. IEEE Trans. Neural Netw. Learning Syst. 23(3): 492-503 (2012)
109		Liqing Zhang, James Tin-Yau Kwok, Changshui Zhang: A brief introduction to the special issue for ISNN2010. Neurocomputing 76(1): 1 (2012)
	2011
108		Bao-Liang Lu, Liqing Zhang, James T. Kwok: Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part I Springer 2011
107		Bao-Liang Lu, Liqing Zhang, James T. Kwok: Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II Springer 2011
106		Bao-Liang Lu, Liqing Zhang, James T. Kwok: Neural Information Processing - 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part III Springer 2011
105		Mu Li, Xiao-Chen Lian, James T. Kwok, Bao-Liang Lu: Time and space efficient spectral clustering via column sampling. CVPR 2011: 2297-2304
104		Wei Bi, James T. Kwok: MultiLabel Classification on Tree- and DAG-Structured Hierarchies. ICML 2011: 17-24
103		Wenliang Zhong, James T. Kwok: Efficient Sparse Modeling with Automatic Feature Grouping. ICML 2011: 9-16
102		Weike Pan, James T. Kwok: Structured clustering with automatic kernel adaptation. IJCNN 2011: 1322-1327
101		Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang: Domain Adaptation via Transfer Component Analysis. IEEE Transactions on Neural Networks 22(2): 199-210 (2011)
100		Shutao Li, Mingkui Tan, Ivor W. Tsang, James Tin-Yau Kwok: A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(4): 1003-1014 (2011)
99		Wen-Yun Yang, Bao-Liang Lu, James T. Kwok: Incorporating cellular sorting structure for better prediction of protein subcellular locations. J. Exp. Theor. Artif. Intell. 23(1): 79-95 (2011)
	2010
98		Liqing Zhang, Bao-Liang Lu, James Tin-Yau Kwok: Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I Springer 2010
97		Liqing Zhang, Bao-Liang Lu, James Tin-Yau Kwok: Advances in Neural Networks - ISNN 2010, 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II Springer 2010
96		Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou: Cost-Sensitive Semi-Supervised Support Vector Machine. AAAI 2010
95		Mu Li, James T. Kwok, Bao-Liang Lu: Online multiple instance learning with no regret. CVPR 2010: 1395-1401
94		Mu Li, James T. Kwok, Bao-Liang Lu: Making Large-Scale Nyström Approximation Possible. ICML 2010: 631-638
93		Chonghai Hu, James T. Kwok: Manifold regularization for structured outputs via the joint kernel. IJCNN 2010: 1-8
92		Wen-Yun Yang, James T. Kwok, Bao-Liang Lu: Spectral and Semidefinite Relaxation of the CLUHSIC Algorithm. SDM 2010: 106-117
91		Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. Tsang: Incorporating the loss function into discriminative clustering of structured outputs. IEEE Transactions on Neural Networks 21(10): 1564-1575 (2010)
90		Kai Zhang, James T. Kwok: Clustered Nyström method for large scale manifold learning and dimension reduction. IEEE Transactions on Neural Networks 21(10): 1576-1587 (2010)
89		Kai Zhang, James T. Kwok: Simplifying mixture models through function approximation. IEEE Transactions on Neural Networks 21(4): 644-658 (2010)
88		Ming Zhao, Shutao Li, James Tin-Yau Kwok: Text detection in images using sparse representation with discriminative dictionaries. Image Vision Comput. 28(12): 1590-1599 (2010)
87		Yan-xia Jin, Kai Zhang, James T. Kwok, Han-chang Zhou: Fast and accurate kernel density approximation using a divide-and-conquer approach. Journal of Zhejiang University - Science C 11(9): 677-689 (2010)
	2009
86		Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui Zhang: Unsupervised Maximum Margin Feature Selection with manifold regularization. CVPR 2009: 888-895
85		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
84		Bin Zhao, James Tin-Yau Kwok, Changshui Zhang: Maximum Margin Clustering with Multivariate Loss Function. ICDM 2009: 637-646
83		Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell: Accelerated Gradient Method for Multi-task Sparse Learning Problem. ICDM 2009: 746-751
82		Kai Zhang, James T. Kwok, Bahram Parvin: Prototype vector machine for large scale semi-supervised learning. ICML 2009: 155
81		Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou: Semi-supervised learning using label mean. ICML 2009: 80
80		Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang: Domain Adaptation via Transfer Component Analysis. IJCAI 2009: 1187-1192
79		Chonghai Hu, James T. Kwok, Weike Pan: Accelerated Gradient Methods for Stochastic Optimization and Online Learning. NIPS 2009: 781-789
78		Bin Zhao, James T. Kwok, Changshui Zhang: Multiple Kernel Clustering. SDM 2009: 638-649
77		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)
76		Kai Zhang, Ivor W. Tsang, James T. Kwok: Maximum Margin Clustering Made Practical. IEEE Transactions on Neural Networks 20(4): 583-596 (2009)
75		Mingqing Hu, Yiqiang Chen, James Tin-Yau Kwok: Building Sparse Multiple-Kernel SVM Classifiers. IEEE Transactions on Neural Networks 20(5): 827-839 (2009)
74		Yu-Feng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou: Tighter and Convex Maximum Margin Clustering. Journal of Machine Learning Research - Proceedings Track 5: 344-351 (2009)
73		Kai Zhang, James T. Kwok: Density-Weighted Nyström Method for Computing Large Kernel Eigensystems. Neural Computation 21(1): 121-146 (2009)
	2008
72		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
71		Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. Kwok: Transferring Localization Models across Space. AAAI 2008: 1383-1388
70		Sinno Jialin Pan, James T. Kwok, Qiang Yang: Transfer Learning via Dimensionality Reduction. AAAI 2008: 677-682
69		Kai Zhang, Ivor W. Tsang, James T. Kwok: Improved Nyström low-rank approximation and error analysis. ICML 2008: 1232-1239
68		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)
67		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
66		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
65		Kai Zhang, Ivor W. Tsang, James T. Kwok: Maximum margin clustering made practical. ICML 2007: 1119-1126
64		Ivor W. Tsang, András Kocsor, James T. Kwok: Simpler core vector machines with enclosing balls. ICML 2007: 911-918
63		Ivor W. Tsang, James T. Kwok: Ensembles of Partially Trained SVMs with Multiplicative Updates. IJCAI 2007: 1089-1094
62		James T. Kwok, Pak-Ming Cheung: Marginalized Multi-Instance Kernels. IJCAI 2007: 901-906
61		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)
60		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)
59		Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Surrogate maximization/minimization algorithms and extensions. Machine Learning 69(1): 1-33 (2007)
58		Jooyoung Park, Daesung Kang, Jongho Kim, James T. Kwok, Ivor W. Tsang: SVDD-Based Pattern Denoising. Neural Computation 19(7): 1919-1938 (2007)
57		Fei Wang, Jingdong Wang, Changshui Zhang, James T. Kwok: Face recognition using spectral features. Pattern Recognition 40(10): 2786-2797 (2007)
	2006
56		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
55		Kai Zhang, James T. Kwok, Ming Tang: Accelerated Convergence Using Dynamic Mean Shift. ECCV (2) 2006: 257-268
54		Ivor W. Tsang, András Kocsor, James T. Kwok: Diversified SVM Ensembles for Large Data Sets. ECML 2006: 792-800
53		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
52		Kai Zhang, James T. Kwok: Block-quantized kernel matrix for fast spectral embedding. ICML 2006: 1097-1104
51		Pak-Ming Cheung, James T. Kwok: A regularization framework for multiple-instance learning. ICML 2006: 193-200
50		Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwok: Locally adaptive classification piloted by uncertainty. ICML 2006: 225-232
49		Shutao Li, Chen Liao, James T. Kwok: Gene Feature Extraction Using T-Test Statistics and Kernel Partial Least Squares. ICONIP (3) 2006: 11-20
48		Shutao Li, Jinglin Peng, James T. Kwok, Jing Zhang: Multimodal Registration using the Discrete Wavelet Frame Transform. ICPR (3) 2006: 877-880
47		Ivor W. Tsang, James T. Kwok, Shutao Li: Learning the Kernel in Mahalanobis One-Class Support Vector Machines. IJCNN 2006: 1169-1175
46		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
45		Shutao Li, Chen Liao, James T. Kwok: Wavelet-Based Feature Extraction for Microarray Data Classification. IJCNN 2006: 5028-5033
44		Ivor W. Tsang, András Kocsor, James T. Kwok: Efficient kernel feature extraction for massive data sets. KDD 2006: 724-729
43		Ivor W. Tsang, James T. Kwok: Large-Scale Sparsified Manifold Regularization. NIPS 2006: 1401-1408
42		Kai Zhang, James T. Kwok: Simplifying Mixture Models through Function Approximation. NIPS 2006: 1577-1584
41		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)
40		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)
39		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)
38		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)
37		Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Model-based transductive learning of the kernel matrix. Machine Learning 63(1): 69-101 (2006)
	2005
36		Kai Zhang, Ming Tang, James T. Kwok: Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation. CVPR (2) 2005: 1001-1007
35		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
34		Ivor W. Tsang, James T. Kwok, Kimo T. Lai: Core Vector Regression for very large regression problems. ICML 2005: 912-919
33		Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen: Accurate and Low-cost Location Estimation Using Kernels. IJCAI 2005: 1366-1371
32		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)
31		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
30		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
29		Ivor W. Tsang, James T. Kwok: Efficient Hyperkernel Learning Using Second-Order Cone Programming. ECML 2004: 453-464
28		Haitao Zhao, Pong Chi Yuen, James T. Kwok, Jingyu Yang: Incremental PCA based face recognition. ICARCV 2004: 687-691
27		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
26		Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model. ICML 2004
25		Brian Mak, Simon Ho, James T. Kwok: Speedup of kernel eigenvoice speaker adaptation by embedded kernel PCA. INTERSPEECH 2004
24		James Tin-Yau Kwok, Ivor Wai-Hung Tsang: The pre-image problem in kernel methods. IEEE Transactions on Neural Networks 15(6): 1517-1525 (2004)
23		Shutao Li, James Tin-Yau Kwok, Ivor Wai-Hung Tsang, Yaonan Wang: Fusing images with different focuses using support vector machines. IEEE Transactions on Neural Networks 15(6): 1555-1561 (2004)
22		Victor Cheng, Chun Hung Li, James T. Kwok, Chi-Kwong Li: Dissimilarity learning for nominal data. Pattern Recognition 37(7): 1471-1477 (2004)
	2003
21		James T. Kwok, Ivor W. Tsang: Learning with Idealized Kernels. ICML 2003: 400-407
20		James T. Kwok, Ivor W. Tsang: The Pre-Image Problem in Kernel Methods. ICML 2003: 408-415
19		Zhihua Zhang, James T. Kwok, Dit-Yan Yeung: Parametric Distance Metric Learning with Label Information. IJCAI 2003: 1450-
18		James T. Kwok, Brian Mak, Simon Ho: Eigenvoice Speaker Adaptation via Composite Kernel PCA. NIPS 2003
17		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)
16		James T. Kwok, Ivor W. Tsang: Linear dependency between ε and the input noise in ε-support vector regression. IEEE Transactions on Neural Networks 14(3): 544-553 (2003)
15		Shutao Li, James T. Kwok, Hailong Zhu, Yaonan Wang: Texture classification using the support vector machines. Pattern Recognition 36(12): 2883-2893 (2003)
	2002
14		Shutao Li, James T. Kwok, Yaonan Wang: Fusing Images with Multiple Focuses Using Support Vector Machines. ICANN 2002: 1287-1292
13		Hailong Zhu, James T. Kwok, Liangsheng Qu: Improving De-Noising by Coefficient De-Noising and Dyadic Wavelet Transform. ICPR (2) 2002: 273-
12		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)
11		Shutao Li, James T. Kwok, Yaonan Wang: Multifocus image fusion using artificial neural networks. Pattern Recognition Letters 23(8): 985-997 (2002)
	2001
10		Martin H. C. Law, James T. Kwok: Applying the Bayesian Evidence Framework to \nu -Support Vector Regression. ECML 2001: 312-323
9		James T. Kwok: Linear Dependency between epsilon and the Input Noise in epsilon-Support Vector Regression. ICANN 2001: 405-410
8		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
7		Martin H. C. Law, James T. Kwok: Rival Penalized Competitive Learning for Model-Based Sequence Clustering. ICPR 2000: 2195-2198
6		James Tin-Yau Kwok: The evidence framework applied to support vector machines. IEEE Trans. Neural Netw. Learning Syst. 11(5): 1162-1173 (2000)
	1999
5		James Tin-Yau Kwok: Integrating the evidence framework and the support vector machine. ESANN 1999: 177-182
4		James Tin-Yau Kwok: Moderating the outputs of support vector machine classifiers. IEEE Transactions on Neural Networks 10(5): 1018-1031 (1999)
	1998
3		James Tin-Yau Kwok: Automated Text Categorization Using Support Vector Machine. ICONIP 1998: 347-351
	1996
2		James Tin-Yau Kwok, Dit-Yan Yeung: Bayesian Regularization in Constructive Neural Networks. ICANN 1996: 557-562
	1995
1		James Tin-Yau Kwok, Dit-Yan Yeung: Improving the approximation and convergence capabilities of projection pursuit learning. Neural Processing Letters 2(3): 20-25 (1995)

Coauthor Index

1	Georgios C. Anagnostopoulos	[72]
2	Wei Bi	[104]
3	Jaime G. Carbonell	[83]
4	Kap Luk Chan	[30]
5	Ken Chen	[46]
6	Xi Chen	[83]
7	Yiqiang Chen	[33] [41] [75]
8	Victor Cheng	[22]
9	Vivying S. Y. Cheng	[35] [60]
10	Pak-Ming Cheung	[31] [51] [62]
11	William Kwok-Wai Cheung (Kwok-Wai Cheung, William K. Cheung)	[17] [35] [60]
12	Dickson K. W. Chiu	[35] [60]
13	Samuel P. M. Choi	[35] [60]
14	Juan Dai	[50]
15	Ana L. N. Fred	[56]
16	W. W. Fung	[35] [60]
17	Michael Georgiopoulos	[72]
18	Simon Ho	[18] [25]
19	Simon Ka-Lung Ho	[32] [40]
20	Roger Wend-Huu Hsiao	[40]
21	Chonghai Hu	[79] [93]
22	Mingqing Hu	[75]
23	Thomas S. Huang	[68]
24	Patrick C. K. Hung	[35] [60]
25	Bon-Woo Hwang	[53]
26	Yan-xia Jin	[87]
27	Eleanna Kafeza	[35] [60]
28	Daesung Kang	[53] [58]
29	Takis Kasparis	[72]
30	Jongho Kim	[58]
31	András Kocsor	[44] [54] [64] [67]
32	Kimo T. Lai	[34]
33	Tsz-Chung Lai	[77]
34	Martin H. C. Law	[7] [10] [17]
35	Sang-Woong Lee	[53]
36	Seong-Whan Lee	[53]
37	Chi-Kwong Li	[22]
38	Chun-hung Li (Chun Hung Li)	[22]
39	Mu Li	[94] [95] [105]
40	Shutao Li	[8] [11] [12] [14] [15] [23] [45] [47] [48] [49] [88] [100]
41	Yu-Feng Li	[74] [81] [85] [96]
42	Xiao-Chen Lian	[105]
43	Chen Liao	[45] [49]
44	Niels da Vitoria Lobo	[72]
45	Marco Loog	[72]
46	Bao-Liang Lu	[46] [92] [94] [95] [97] [98] [99] [105] [106] [107] [108]
47	Brian Kan-Wing Mak (Brian Mak)	[18] [25] [32] [40] [77]
48	Jeffrey Junfeng Pan	[33] [41] [66]
49	Sinno Jialin Pan	[66] [70] [71] [80] [101]
50	Weike Pan	[79] [83] [91] [102]
51	Jooyoung Park	[53] [58]
52	Bahram Parvin	[82]
53	Jinglin Peng	[48]
54	Joshua C. C. Pun	[35] [60]
55	Liangsheng Qu	[13]
56	Dick de Ridder	[56]
57	Fabio Roli	[56] [72]
58	Dou Shen	[71]
59	Mingkui Tan	[100]
60	Ming Tang	[36] [55]
61	Xiaoou Tang	[50]
62	Ivor W. Tsang (Ivor Wai-Hung Tsang)	[16] [20] [21] [23] [24] [29] [31] [34] [38] [39] [43] [44] [47] [54] [58] [61] [63] [64] [65] [67] [69] [74] [76] [77] [80] [85] [91] [100] [101]
63	Kwok Ching Tsui	[17]
64	Jingdong Wang	[57]
65	Yaonan Wang	[8] [11] [12] [14] [15] [23]
66	Fei Wang	[57] [86]
67	Raymond K. Wong	[35] [60]
68	Xianchao Xie	[68]
69	Shuicheng Yan	[50] [68]
70	Jing-Yu Yang (Jingyu Yang)	[28]
71	Qiang Yang	[33] [41] [66] [70] [71] [80] [101]
72	Wen-Yun Yang	[92] [99]
73	Dit-Yan Yeung	[1] [2] [19] [26] [27] [30] [37] [56] [59]
74	Philip L. H. Yu	[110]
75	Pong Chi Yuen	[28]
76	Changshui Zhang (Chang-shui Zhang)	[57] [78] [84] [86] [109]
77	Jing Zhang	[48]
78	Kai Zhang	[36] [42] [52] [55] [65] [69] [73] [76] [82] [87] [89] [90]
79	Liqing Zhang	[97] [98] [106] [107] [108] [109]
80	Zhihua Zhang	[19] [26] [27] [30] [37] [59]
81	Bin Zhao	[78] [84] [86]
82	Haitao Zhao	[28]
83	Jian-Hua Zhao	[110]
84	Ming Zhao	[88]
85	Wenliang Zhong	[91] [103]
86	Han-chang Zhou	[87]
87	Zhi-Hua Zhou	[74] [81] [85] [96]
88	Hailong Zhu	[13] [15]
89	Jacek M. Zurada	[38] [61]

Colors in the list of coauthors

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