Kaizhu Huang

2009
18	EE	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	EE	Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King: Semi-supervised text categorization by active search. CIKM 2008: 1517-1518
16	EE	Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu: Semi-supervised Learning from General Unlabeled Data. ICDM 2008: 273-282
15	EE	Kaizhu Huang, Irwin King, Michael R. Lyu: Direct Zero-Norm Optimization for Feature Selection. ICDM 2008: 845-850
14	EE	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	EE	Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu: Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN 2008: 4014-4019
12	EE	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	EE	Jun Sun, Kaizhu Huang, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi: Degraded Character Recognition by Complementary Classifiers Combination. ICDAR 2007: 579-583
10	EE	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	EE	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	EE	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	EE	Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Local Support Vector Regression for Financial Time Series Prediction. IJCNN 2006: 1622-1627
2004
6	EE	Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: Biased Minimax Probability Machine for Medical Diagnosis. AMAI 2004
5	EE	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	EE	Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Learning large margin classifiers locally and globally. ICML 2004
3	EE	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	EE	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	EE	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]
8	Chong Long	[8]
9	Michael R. Lyu	[1] [2] [3] [4] [5] [6] [7] [9] [12] [13] [15] [16] [17] [18]
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	ZhangBing Zhou	[14]
17	Jianke Zhu	[9]
18	Xiaoyan Zhu	[8]
19	Li Zhuang	[8]

Colors in the list of coauthors