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Xizhao Wang Vis

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*2008
50EEEric C. C. Tsang, QingCai Chen, Suyun Zhao, Daniel S. Yeung, Xizhao Wang: Hybridization of Fuzzy and Rough Sets: Present and Future. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 45-64
49EEEric C. C. Tsang, Degang Chen, Daniel S. Yeung, Xizhao Wang, J. Lee: Attributes Reduction Using Fuzzy Rough Sets. IEEE T. Fuzzy Systems 16(5): 1130-1141 (2008)
48EEXizhao Wang, Yuanyan Tang, Daniel S. Yeung: Editorial. IJPRAI 22(1): 1-2 (2008)
47EEDaniel S. Yeung, Xizhao Wang, Degang Chen: Preface: Recent advances in granular computing. Inf. Sci. 178(16): 3161-3162 (2008)
46EEXizhao Wang, Chun-Guo Li, Daniel S. Yeung, ShiJi Song, HuiMin Feng: A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis. Neurocomputing 71(7-9): 1515-1526 (2008)
45EEWing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang: Feature selection using localized generalization error for supervised classification problems using RBFNN. Pattern Recognition 41(12): 3706-3719 (2008)
2007
44EEDegang Chen, Xizhao Wang, Suyun Zhao: Attribute Reduction Based on Fuzzy Rough Sets. RSEISP 2007: 381-390
43EEWing W. Y. Ng, Binbin Sun, Daniel S. Yeung, Xizhao Wang: Heuristic improvement for active learning using localized generalization error as selection criterion. SMC 2007: 3588-3593
42EEXizhao Wang, Shuxia Lu, Ruixian Zhu: Solving SVM inverse problems based on clustering. SMC 2007: 3615-3620
41EEDaniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang: Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network. IEEE Transactions on Neural Networks 18(5): 1294-1305 (2007)
40EEDaniel S. Yeung, Shuyuan Jin, Xizhao Wang: Covariance-Matrix Modeling and Detecting Various Flooding Attacks. IEEE Transactions on Systems, Man, and Cybernetics, Part A 37(2): 157-169 (2007)
39EEShuyuan Jin, Daniel S. Yeung, Xizhao Wang: Internet Anomaly Detection Based on Statistical Covariance Matrix. IJPRAI 21(3): 591-606 (2007)
38EEXizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung: Learning fuzzy rules from fuzzy samples based on rough set technique. Inf. Sci. 177(20): 4493-4514 (2007)
37EEDaniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang: Structured large margin machines: sensitive to data distributions. Machine Learning 68(2): 171-200 (2007)
36EEDegang Chen, Qiang He, Xizhao Wang: On linear separability of data sets in feature space. Neurocomputing 70(13-15): 2441-2448 (2007)
35EEXizhao Wang, Chunru Dong, Tie-Gang Fan: Training T-S norm neural networks to refine weights for fuzzy if-then rules. Neurocomputing 70(13-15): 2581-2587 (2007)
34EEShuyuan Jin, Daniel S. Yeung, Xizhao Wang: Network intrusion detection in covariance feature space. Pattern Recognition 40(8): 2185-2197 (2007)
33EEYan Li, Xizhao Wang, Minghu Ha: An On-line Multi-CBR Agent Dispatching Algorithm. Soft Comput. 11(1): 1-5 (2007)
32EEZhi-Qiang Liu, Xizhao Wang, Daniel S. Yeung: Machine Learning Techniques: Problems and Applications. By Guest Editors: Zhi-Qiang Liu, Daniel So Yeung, Xi-Zhao Wang, and Eric Tsang. Soft Comput. 11(4): 309 (2007)
31EEWing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang: Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries. Soft Comput. 11(4): 375-381 (2007)
30EEYan Li, Xizhao Wang, Minghu Ha: An On-Line Multi-CBR Agent Dispatching Algorithm. Soft Comput. 11(4): 391-395 (2007)
2006
29 Daniel S. Yeung, Zhi-Qiang Liu, Xizhao Wang, Hong Yan: Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers Springer 2006
28EEXizhao Wang, Hui Zhang: A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection. ISNN (1) 2006: 1352-1358
27EEZhi-Qiang Liu, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang, John W. T. Lee: Preface for the special issue: soft computing in machine learning and cybernetics in the journal Soft Computing. Soft Comput. 10(1): 1 (2006)
2005
26EEDegang Chen, Qiang He, Xizhao Wang: The Infinite Polynomial Kernel for Support Vector Machine. ADMA 2005: 267-275
25EEJohn W. T. Lee, Xizhao Wang, Jinfeng Wang: Reduction of Attributes in Ordinal Decision Systems. ICMLC 2005: 578-587
24EEShuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang: A Covariance Matrix Based Approach to Internet Anomaly Detection. ICMLC 2005: 691-700
23EEQiang He, Xizhao Wang, Junfen Chen, Leifan Yan: A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines. ICMLC 2005: 871-879
22EEDegang Chen, Qiang He, Chunru Dong, Xizhao Wang: A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels. ICMLC 2005: 918-929
21EEXizhao Wang, Chunguo Li: A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction. ISNN (1) 2005: 81-86
20EECaihong Sun, Simon Chi-Keung Shiu, Xizhao Wang: Organizing Large Case Library by Linear Programming. MICAI 2005: 554-564
19EEDaniel S. Yeung, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang: On the generalization of fuzzy rough sets. IEEE T. Fuzzy Systems 13(3): 343-361 (2005)
18EEEric C. C. Tsang, Xizhao Wang: An Approach To Case-Based Maintenance: Selecting Representative Cases. IJPRAI 19(1): 79-89 (2005)
17EEXizhao Wang, Qiang He, Degang Chen, Daniel S. Yeung: A genetic algorithm for solving the inverse problem of support vector machines. Neurocomputing 68: 225-238 (2005)
2004
16EEXizhao Wang, Qiang He: Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment. KES 2004: 1037-1043
15EEXizhao Wang, Chunru Dong, Daniel S. Yeung: A study on generalization capability of weighted fuzzy production rules with maximum entropy. SMC (4) 2004: 3181-3186
14EEDaniel S. Yeung, Xizhao Wang, Eric C. C. Tsang: Handling interaction in fuzzy production rule reasoning. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(5): 1979-1987 (2004)
13EEXizhao Wang, Yadong Wang, Lijuan Wang: Improving fuzzy c-means clustering based on feature-weight learning. Pattern Recognition Letters 25(10): 1123-1132 (2004)
2003
12EEXizhao Wang, Minghua Zhao, Dianhui Wang: Selection of Parameters in Building Fuzzy Decision Trees. Australian Conference on Artificial Intelligence 2003: 282-292
11EEMinghu Ha, Xizhao Wang, Lanzhen Yang, Yan Li: Sequences of (S) fuzzy integrable functions. Fuzzy Sets and Systems 138(3): 507-522 (2003)
10EEGuoqing Cao, Simon C. K. Shiu, Xizhao Wang: A fuzzy-rough approach for the maintenance of distributed case-based reasoning systems. Soft Comput. 7(8): 491-499 (2003)
2002
9EEDaniel S. Yeung, Xizhao Wang: Improving Performance of Similarity-Based Clustering by Feature Weight Learning. IEEE Trans. Pattern Anal. Mach. Intell. 24(4): 556-561 (2002)
2001
8EEGuoqing Cao, Simon C. K. Shiu, Xizhao Wang: A Fuzzy-Rough Approach for Case Base Maintenance. ICCBR 2001: 118-130
7 Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang: A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay. IJCAI 2001: 789-796
6 Simon C. K. Shiu, Daniel S. Yeung, Cai Hung Sun, Xizhao Wang: Transferring Case Knowledge to Adaptation Knowledge: An Approach for Case-Base Maintenance. Computational Intelligence 17(2): 295-314 (2001)
5EEXizhao Wang, Zimian Zhong, Minghu Ha: Iteration algorithms for solving a system of fuzzy linear equations. Fuzzy Sets and Systems 119(1): 121-128 (2001)
4EEXizhao Wang, Yadong Wang, X. F. Xu, W. D. Ling, Daniel S. Yeung: A new approach to fuzzy rule generation: fuzzy extension matrix. Fuzzy Sets and Systems 123(3): 291-306 (2001)
3 Xizhao Wang, Daniel S. Yeung, Eric C. C. Tsang: A comparative study on heuristic algorithms for generating fuzzy decision trees. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(2): 215-226 (2001)
2EEDaniel S. Yeung, Shenshan Qiu, Eric C. C. Tsang, Xizhao Wang: A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search Algorithm. International Journal of Computational Intelligence and Applications 1(4): 399-412 (2001)
2000
1EESimon C. K. Shiu, Cai Hung Sun, Xizhao Wang, Daniel S. Yeung: Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees. EWCBR 2000: 285-296

Coauthor Index

1Guoqing Cao [8] [10]
2Degang Chen [17] [19] [22] [26] [36] [38] [44] [47] [49]
3Junfen Chen [23]
4QingCai Chen [50]
5Chunru Dong [15] [22] [35]
6Tie-Gang Fan [35]
7HuiMin Feng [46]
8Michael Firth [45]
9Minghu Ha [5] [11] [30] [33]
10Qiang He [16] [17] [22] [23] [26] [36]
11Shuyuan Jin [24] [34] [39] [40]
12J. Lee [49]
13John W. T. Lee [19] [25] [27]
14Chun-Guo Li [46]
15Chunguo Li [21]
16Yan Li [11] [30] [33]
17W. D. Ling [4]
18Zhi-Qiang Liu [27] [29] [32]
19Shuxia Lu [42]
20Wing W. Y. Ng [31] [37] [41] [43] [45]
21Shenshan Qiu [2] [7]
22Simon C. K. Shiu (Simon Chi-Keung Shiu) [1] [6] [8] [10] [20]
23ShiJi Song [46]
24Binbin Sun [43]
25Cai Hung Sun [1] [6]
26Caihong Sun [20]
27Yuanyan Tang [48]
28Eric C. C. Tsang [2] [3] [7] [14] [18] [19] [24] [27] [31] [37] [38] [41] [45] [49] [50]
29Defeng Wang [31] [37] [41]
30Dianhui Wang [12]
31Jinfeng Wang [25]
32Lijuan Wang [13]
33Yadong Wang [4] [13]
34X. F. Xu [4]
35Hong Yan [29]
36Leifan Yan [23]
37Lanzhen Yang [11]
38Daniel S. Yeung [1] [2] [3] [4] [6] [7] [9] [14] [15] [17] [19] [24] [27] [29] [31] [32] [34] [37] [38] [39] [40] [41] [43] [45] [46] [47] [48] [49] [50]
39Hui Zhang [28]
40Minghua Zhao [12]
41Suyun Zhao [38] [44] [50]
42Zimian Zhong [5]
43Ruixian Zhu [42]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)