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| 2012 | ||
|---|---|---|
| 44 | Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu: Robust Metric Learning by Smooth Optimization CoRR abs/1203.3461: (2012) | |
| 43 | Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu: Joint learning of error-correcting output codes and dichotomizers from data. Neural Computing and Applications 21(4): 715-724 (2012) | |
| 2011 | ||
| 42 | Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu: Low Rank Metric Learning with Manifold Regularization. ICDM 2011: 1266-1271 | |
| 41 | Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu: Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut. ICDM 2011: 952-961 | |
| 40 | Peipei Yang, Kaizhu Huang, Cheng-Lin Liu: Multi-Task Low-Rank Metric Learning Based on Common Subspace. ICONIP (2) 2011: 151-159 | |
| 39 | Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi: Graphical Lasso Quadratic Discriminant Function for Character Recognition. ICONIP (3) 2011: 747-755 | |
| 38 | Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu: Pattern Field Classification with Style Normalized Transformation. IJCAI 2011: 1621-1626 | |
| 37 | Bo Xie, Yang Mu, Dacheng Tao, Kaizhu Huang: m-SNE: Multiview Stochastic Neighbor Embedding. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(4): 1088-1096 (2011) | |
| 36 | Kaizhu Huang, Yiming Ying, Colin Campbell: Generalized sparse metric learning with relative comparisons. Knowl. Inf. Syst. 28(1): 25-45 (2011) | |
| 35 | Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin, Qian Liu, Kaizhu Huang: Exchange rate prediction with non-numerical information. Neural Computing and Applications 20(7): 945-954 (2011) | |
| 34 | Xu-Cheng Yin, Qian Liu, Hong-Wei Hao, Zhi-Bin Wang, Kaizhu Huang: FMI image based rock structure classification using classifier combination. Neural Computing and Applications 20(7): 955-963 (2011) | |
| 2010 | ||
| 33 | Bo Xu, Kaizhu Huang, Cheng-Lin Liu: Similar Handwritten Chinese Characters Recognition by Critical Region Selection Based on Average Symmetric Uncertainty. ICFHR 2010: 527-532 | |
| 32 | Hong-Wei Hao, Qian Liu, Xu-Cheng Yin, Zhi-Bin Wang, Kaizhu Huang: Ellipse Detection with an Improved Randomized Hough Transform for Intellectual Phacoemulsification Surgery Systems. ICIP 2010: 1449-1452 | |
| 31 | Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu: Learning ECOC and Dichotomizers Jointly from Data. ICONIP (1) 2010: 494-502 | |
| 30 | Bo Xu, Kaizhu Huang, Cheng-Lin Liu: Dimensionality Reduction by Minimal Distance Maximization. ICPR 2010: 569-572 | |
| 29 | Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu: Robust Metric Learning by Smooth Optimization. UAI 2010: 244-251 | |
| 28 | Kaizhu Huang, Danian Zheng, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi: Sparse learning for support vector classification. Pattern Recognition Letters 31(13): 1944-1951 (2010) | |
| 2009 | ||
| 27 | Kaizhu Huang, Yiming Ying, Colin Campbell: GSML: A Unified Framework for Sparse Metric Learning. ICDM 2009: 189-198 | |
| 26 | Xu-Cheng Yin, Qian Liu, Hong-Wei Hao, Zhi-Bin Wang, Kaizhu Huang: A Rock Structure Recognition System Using FMI Images. ICONIP (1) 2009: 838-845 | |
| 25 | Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin, Qian Liu, Kaizhu Huang: Exchange Rate Forecasting Using Classifier Ensemble. ICONIP (1) 2009: 884-891 | |
| 24 | Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell: Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. IJCNN 2009: 1272-1277 | |
| 23 | Yiming Ying, Kaizhu Huang, Colin Campbell: Sparse Metric Learning via Smooth Optimization. NIPS 2009: 2214-2222 | |
| 22 | Yiming Ying, Kaizhu Huang, Colin Campbell: Enhanced protein fold recognition through a novel data integration approach. BMC Bioinformatics 10: 267 (2009) | |
| 21 | Kaizhu Huang, Danian Zheng, Irwin King, Michael R. Lyu: Arbitrary Norm Support Vector Machines. Neural Computation 21(2): 560-582 (2009) | |
| 20 | Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu: A novel kernel-based maximum a posteriori classification method. Neural Networks 22(7): 977-987 (2009) | |
| 19 | 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 | ||
| 18 | Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King: Semi-supervised text categorization by active search. CIKM 2008: 1517-1518 | |
| 17 | Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu: Semi-supervised Learning from General Unlabeled Data. ICDM 2008: 273-282 | |
| 16 | Kaizhu Huang, Irwin King, Michael R. Lyu: Direct Zero-Norm Optimization for Feature Selection. ICDM 2008: 845-850 | |
| 15 | 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 | |
| 14 | Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu: Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN 2008: 4014-4019 | |
| 13 | 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 | ||
| 12 | Jun Sun, Kaizhu Huang, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi: Degraded Character Recognition by Complementary Classifiers Combination. ICDAR 2007: 579-583 | |
| 11 | 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 | |
| 10 | 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 | ||
| 9 | 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 | |
| 8 | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Local Support Vector Regression for Financial Time Series Prediction. IJCNN 2006: 1622-1627 | |
| 2004 | ||
| 7 | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: Biased Minimax Probability Machine for Medical Diagnosis. AMAI 2004 | |
| 6 | 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 | |
| 5 | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Learning large margin classifiers locally and globally. ICML 2004 | |
| 4 | 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 | |
| 3 | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: Biased Minimax Probability Machine for Medical Diagnosis. ISAIM 2004 | |
| 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 | |
Colors in the list of coauthors
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