Kaizhu Huang

	2009
19		Kaizhu Huang, Danian Zheng, Irwin King, Michael R. Lyu: Arbitrary Norm Support Vector Machines. Neural Computation 21(2): 560-582 (2009)
18		Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu: Localized support vector regression for time series prediction. Neurocomputing 72(10-12): 2659-2669 (2009)
	2008
17		Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King: Semi-supervised text categorization by active search. CIKM 2008: 1517-1518
16		Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu: Semi-supervised Learning from General Unlabeled Data. ICDM 2008: 273-282
15		Kaizhu Huang, Irwin King, Michael R. Lyu: Direct Zero-Norm Optimization for Feature Selection. ICDM 2008: 845-850
14		ZhangBing Zhou, Sami Bhiri, Lei Shu, Kaizhu Huang, Laurentiu Vasiliu, Manfred Hauswirth: A Scenario-View Based Approach to Analyze External Behavior of Web Services for Supporting Mediated Service Interactions. IEEE SCC (2) 2008: 249-256
13		Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu: Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN 2008: 4014-4019
12		Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. IEEE Transactions on Neural Networks 19(2): 260-272 (2008)
	2007
11		Jun Sun, Kaizhu Huang, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi: Degraded Character Recognition by Complementary Classifiers Combination. ICDAR 2007: 579-583
10		Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi: An SVM-Based High-accurate Recognition Approach for Handwritten Numerals by Using Difference Features. ICDAR 2007: 589-593
9		Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu: Kernel Maximum a Posteriori Classification with Error Bound Analysis. ICONIP (1) 2007: 841-850
	2006
8		Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi, Chong Long, Li Zhuang, Xiaoyan Zhu: A Hybrid Handwritten Chinese Address Recognition Approach. ICONIP (2) 2006: 88-98
7		Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Local Support Vector Regression for Financial Time Series Prediction. IJCNN 2006: 1622-1627
	2004
6		Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: Biased Minimax Probability Machine for Medical Diagnosis. AMAI 2004
5		Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. CVPR (2) 2004: 558-563
4		Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Learning large margin classifiers locally and globally. ICML 2004
3		Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu: Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. ICONIP 2004: 1260-1265
2		Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: The Minimum Error Minimax Probability Machine. Journal of Machine Learning Research 5: 1253-1286 (2004)
	2003
1		Kaizhu Huang, Irwin King, Michael R. Lyu: Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier. ICANN 2003: 115-122

Coauthor Index

1	Sami Bhiri	[14]
2	Lai-Wan Chan (Laiwan Chan)	[2] [3] [6]
3	Katsuhito Fujimoto	[8] [10] [11]
4	Manfred Hauswirth	[14]
5	Yoshinobu Hotta	[8] [10] [11]
6	Rong Jin	[17]
7	Irwin King	[1] [2] [3] [4] [5] [6] [7] [9] [12] [13] [15] [16] [17] [18] [19]
8	Chong Long	[8]
9	Michael R. Lyu	[1] [2] [3] [4] [5] [6] [7] [9] [12] [13] [15] [16] [17] [18] [19]
10	Satoshi Naoi	[8] [10] [11]
11	Lei Shu	[14]
12	Jun Sun	[8] [10] [11]
13	Laurentiu Vasiliu	[14]
14	Zenglin Xu	[9] [16] [17]
15	Haiqin Yang	[2] [3] [4] [5] [6] [7] [12] [13] [18]
16	Danian Zheng	[19]
17	ZhangBing Zhou	[14]
18	Jianke Zhu	[9]
19	Xiaoyan Zhu	[8]
20	Li Zhuang	[8]

Colors in the list of coauthors