Kaizhu Huang's PUBLICATIONS

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 Patents

  1. Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Satoshi Naoi, Address Recognition Methods and Apparatus, Application Num: 200510089537.0, China

  2. Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Satoshi Naoi, Address Recognition Methods and Apparatus with and without Key Characters. Application Num: 200710089131.1, China

  3.  Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Satoshi Naoi, Character Recognition Apparatus and Method Using Differential Features. Application Num: 200710078767.6, China

  4.  Jun Sun, Kaizhu Huang, Yoshinobu Hotta, Satoshi Naoi, Degraded Character Recognition Apparatus and Method. Internal No. 06-53478, China 

  5. Danian Zheng, Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Satoshi Naoi, Sparse Support Vector Machine Methods and Apparatus. Application Num: 200710146535.X, China

  6.   Kaizhu Huang, Danian Zheng, Jun Sun, Yoshinobu Hotta, Satoshi Naoi, Image Based Keyword Search Methods and Apparatus. Internal Num: 07-52540, China.

 Theses

  1. Automatic Fingerprint Recognition System. Master Thesis, Institute of Automation, Chinese Academy of Sciences, 2000.7

  2. Learning from Data Locally and Globally. Ph.D Thesis, The Chinese University of Hong Kong, 2004.9

  Books

  1.  Kaizhu Huang et  al.,  Machine Learning: Modeling Data Locally and Globally,  Springer Verlag Heidelberg New York  (Oversea  Edition)/ Zhejiang University Press. Hangzhou  (Mainland China Edition) ISBN 3540794514.

 Journals and Book Chapters:

  1. Kaizhu Huang, Danian Zheng, Irwin King, Michael R. Lyu, Arbitrary Norm Support Vector Machines, Neural Computation, to appear, 2008.

  2. Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu. M^4: Learning Large Margin Machines Locally and Globally, IEEE Trans. on Neural Networks, Vol 19, iss.2, pp. 260-272, 2008.

  3.  Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Zhangbin Zhou, A Novel Discriminative Naive Bayesian Network for classification. Bayesian Network Technologies: Applications and Graphical Models. Ankush Mittal, Ashraf Kassim, Tele Tan (Eds.), March, 2007, pp 1-12, Idea Group Inc

  4. Chong Long, Li Zhuang, Xiaoyan Zhu, Kaizhu Huang, Jun Sun, Yoshinobu Hotta,  Satoshi Naoi,A Post-processing Approach for Handwritten Chinese Address Recognition.  Journal of Chinese Information Processing (in Chinese). Vol. 20, No. 6, 69-74, 2006.

  5.  Kaizhu Huang, Haiqin Yang, Irwin King, and Michael R. Lyu, Maximizing Sensitivity in Medical Diagnosis Using Biased Minimax Probability Machine. IEEE Trans. Biomedical Engineering, Vol 53, Issue 5, 821- 831, May 2006.

  6. Kaizhu Huang, Haiqin Yang, Irwin King, and Michael R. Lyu, Imbalanced Learning With Biased Minimax Probability Machine. IEEE Trans. System Man, Cybnetics, Part B, Vol 36, No 4, 913 - 923 August, 2006.

  7.  Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Local Learning Vs. Global Learning: An introduction of Maxi-Min Margin Machine. In Support Vector Machines: Theory and Applications. StudFuzz 177, 113¡V131 Springer-Verlag Berlin Heidelberg 2005.

  8.  Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, and Laiwan Chan. The Minimum Error Minimax Probability Machine. Journal of Machine Learning Research, Vol. 5, pp. 1253-1286, October 2004.

  9.  Kaizhu Huang, Irwin King, and Michael R. Lyu, Haiqin Yang. Improving Chow-Liu tree performance based on association rules, In Neural Information Processing: Research and Development. Series: Studies in Fuzziness and Soft Computing, PP94-112, Vol. 152. Springer-Verlag, 2004.

  10. Haiqin Yang, Irwin King, Laiwan Chan and Kaizhu Huang. Financial Time Series Prediction Using Non-fixed and Asymmetrical Margin Setting with Momentum in Support Vector Regression, In Neural Information Processing: Research and Development. Series: Studies in Fuzziness and Soft Computing, PP334-150, Vol. 152.. Springer-Verlag, 2004.

  11.  Huimin Deng and Kaizhu Huang, A novel fingerprint minutiae extraction method, supplement to Journal of Nanjing University: Natural Science. 2000.

 

  Referred Conference Papers:

  1.  Zhangbing Zhou, Sami Bhiri, Leishu,  Kaizhu Huang, Laurentiu Vasiliu, Manfred Hauswirth, A Scennario-view Based Approach to Analyze External Behavior of Web Services for Supporting Mediated Service Interactions. IEEE International Conference on Services Computing (SCC'2008), 2008.

  2. Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu. Efficient Minimax Clustering probability Machine by Generalized probability Product Kernel. International Joint Conference on Neural Network (IJCNN' 2008), Hong Kong, 2008.

  3.  Zenglin Xu¡A Jianke Zhu, Kaizhu Huang, Irwin King, Michael R. Lyu, Kernel Maximum A Posteriori Classification with Error Bound Analysis, To appear in     International Conference on Neural Information Processing (ICONIP'2007)

  4. Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi, An SVM-based high accuracy Handwritten Numeral Recognition Approach Using Difference Features. To appear in International Conference on Document Analysis and Recognition (ICDAR'2007), 2007.

  5.  Jun Sun, Kaizhu Huang, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi, Degraded Character Recognition with complementary feature combination.  To appear in International Conference on Document Analysis and Recognition (ICDAR'2007), 2007.

  6.  Chong Long, , Xiaoyan Zhu, , Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Satoshi Naoi, An Efficient Post-processing Approach for Off-line Handwritten Chinese Address Recognition. Proceedings to the International Conference on Signal Processing (ICSP'2006), Guilin, China, 2006.

  7. Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi, Chong Long, Li Zhuang, Xiaoyan Zhu. A Hybrid Handwritten Chinese Address Recognition Approach.  International Conference on Neural Information Processing (ICONIP'2006), Part II, LNCS 4233, pp. 88¡V98, 2006.¡ASpringer-Verlag Berlin Heidelberg

  8.  Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu. Improving Local Support Vector Regression for Financial Time Seris Prediction. International Joint Conference on Neural Network (IJCNN' 2006), Canada, 2006.

  9. Kaizhu Huang, Yoshinobu Hotta, Satoshi Naoi. A comprehensive and three-stage Approach for Chinese Handwritten Address Recognition. Accepted by International Workshop on Frontiers in Handwriting Recognition (IWFHR' 2006), La Baule, France, 2006.

  10. Kaizhu Huang, Zhangbin Zhou, Irwin King, Michael R. Lyu. Improving Naive Bayesian Classifier by Discriminative Training. Proceedings International Conference on Neural Information Processing ¡]ICONIP' 2005¡^, Taipei, Taiwan, 2005.

  11. Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu. Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR' 2004), Washington, DC, June 27 -July 2, 2004.

  12.  Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu. Learning Large Margin Machines Locally and Globally. Proceedings international Conference on Machine Learning (ICML' 2004), Banff, Canada, 2004.

  13. Chu-Hong Hoi, Chi-Hang Chan, Kaizhu Huang, Michael R Lyu and Irwin King. Biased Support Vector Machine for Relevance Feedback in Image Retrieval. In Proceedings of International Joint Conference on Neural Networks (IJCNN'2004), Budapest, Hungary, 25-29 July, 2004.

  14.  Haiqin Yang, Kaizhu Huang, Irwin King, and Michael R. Lyu. Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. International Conference on Neural information Processing (ICONIP'2004), LNCS.

  15.  Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, and Laiwan Chan.   Biased Minimax Probability Machine for Medical Diagnosis. The 8th International Symposium on Artificial Intelligence and Mathematics (AMAI'2004), Fort Lauderdale, Florida, January 4-6, 2004.

  16.  Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, and Laiwan Chan.  The Minimum Error Minimax Probability¡@Machine: A worst-case Bayes Optimal Classifier. Proceedings to the 5th ACM Postgraduate Research Day, Hong Kong, 2004.

  17.  Kaizhu Huang, Irwin King, and Michael R. Lyu. Finite Mixture Model of Bounded Semi-Naive Bayesian Networks Classifiers. ICANN'-2003, LNCS PP115-122, Long paper, Publisher: Springer-Verlag Heidelberg, Volume 2714, January 2003.

  18.  Kaizhu Huang, Irwin King, and Michael R. Lyu. Discriminative Training of Bayesian Chow-Liu Tree Multinet Classifiers.   Proceedings of the International Joint Conference on Neural Networks (IJCNN'2003), Volume: 1, July 20- 24, 2003 page(s): 484 -488

  19.  Kaizhu Huang, Irwin King, and Michael R. Lyu. Learning maximum likelihood semi-naive bayesian network classifier. In 2002 IEEE International Conference on Systems, Man and Cybernetics (SMC'2002), Volume:  3, 6-9 Oct. 2002 Page(s): 6 pp. vol.3, Hamammet, tunisia, October 6-9, 2002.

  20. Kaizhu Huang, Irwin King, and Michael R. Lyu. Constructing a large node Chow-Liu Tree based on frequent itemsets. In Lipo Wang, Jagath C. Rajapakse, Kunihiko Fukushima, Soo-Young Lee, and Xi Yao, editors. Proceedings to the International Conference on Neural Information Processing (ICONIP'2002), page 498 -502, Orchid Country Club, Singapore, November 18-22, 2002. Nanyang Technological University.

  21.  Kaizhu Huang, Huimin Deng and Xingzhi. Luo, A Novel Triangle-Structure Model to Match Low-Quality Fingerprint Image. The 7th Joint International Computer Conference (JICC'2000), Shantou University, Nov, 2000.

  22. Huimin Deng and Kaizhu Huang, A novel fingerprint minutiae extraction method, Proceedings to the 8th National Conference on Young Computer Scientists (NCYCS'2000), Nanjing, 2000. 

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