Kaizhu Huang

Dr. Kaizhu Huang has moved to University of Bristol. Here is his current website.

Office Information	Contact Address
Voice: (852)31634266	Room 114A, SHB Engineering Building
Fax: (852) 26035024	Computer Science and Engineering Dept
Email:	The Chinese University of Hong Kong

Dr. Huang is currently a Research Fellow at Dept. of Computer Science and Engineering of the Chinese University of Hongkong. He works with Prof. KING, Irwin and Prof. LYU, Rung Tsong Michael . He got Bachelor of Engineering from Xi'an Jiaotong University in 1997. At that time he was one of the Special Class for Gifted Children. He got Master of Engineering from Institute of Automation, Chinese Academy of Sciences, (Beijing · China) in July 2000. He obtained my Ph.D. from The Chinese Univ. of Hong Kong in 2004. After that, He worked as a researcher in Fujitsu Research Center from 2004 to 2007.

His main research topics include

• Statistical Machine Learning
• Pattern Recognition, character recognition
• Information Retrieval
• Image Processing

1. [2008, book]

   Kaizhu Huang, Haiqin Yang, Irwin King, and Michael R. Lyu, Machine Learning: Modeling Data Locally and Globally, Springer & Zhejiang Univ. Press, 2008.

1. [2008, article]

   Kaizhu Huang, Danian Zheng, Irwin King, and Michael R. Lyu, "Arbitrary Norm Support Vector Machine," Neural Computation, 2008.

2. [2008, article | www]

   Kaizhu Huang, Haiqin Yang, Michael R. Lyu, and Irwin King, "Maxi-Min Margin Machine: Learning Large Margin Classifiers Localy and Globally," IEEE Transactions on Neural Networks, 2008.

3. [2006, article | www]

   Kaizhu Huang, Haiqin Yang, Irwin King, and Michael R. Lyu, "Imbalanced Learning With Biased Minimax Probability Machine," IEEE Transactions on System, Man, and Cybernetics Part B, vol. 36, iss. 4, pp. 913-923, 2006.

4. [2006, article | www]

   Kaizhu Huang, Haiqin Yang, Irwin King, and Michael R. Lyu, "Maximizing Sensitivity in Medical Diagnosis Using Biased Minimax Probability Machine," IEEE Transactions on Biomedical Engineering, vol. 53, iss. 5, pp. 821-831, 2006.

5. [2006, article]

   Chong Long, Li Zhuang, Xiaoyan Zhu, Kaizhu Huang, Jun Sun, Yoshinobu Hotta, and Satoshi Naoi, "A Post-processing Approach for Handwritten Chinese Address Recognition," Journal of Chinese Information Processing, vol. 20, iss. 6, pp. 69-74, 2006.

6. [2004, article | www]

   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, 2004.

7. [2000, article]

   Huiming Deng and Kaizhu Huang, "A novel fingerprint minutiaeextraction method," supplement to Journal of Nanjing University: Natural Science, 2000.

1. /

   [2007, incollection | www]

   Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, and Zhangbing Zhou, "Bayesian Network Technologies: Applicatons and Graphical Models," , Mittal, A. and Kassim, A., Eds., IGI Publishing, 2007, pp. 1-12.

2. [2005, inbook | www]

   Kaizhu Huang, Haiqin Yang, Irwin King, and Michael R. Lyu, "Support Vector Machines: Theory and Applications." Springer-Verlag, 2005, vol. 177/2005, pp. 113-132.

3. [2004, inbook | www]

   Haiqin Yang, Irwin King, Laiwan Chan, and Kaizhu Huang, "Neural Information Processing: Research and Development." Springer-Verlag, 2004, vol. 152, pp. 334-350.

4. [2004, inbook | www]

   Kaizhu Huang, Irwin King, Michael R. Lyu, and Haiqin Yang, "Neural Information Processing: Research and Development." Springer-Verlag, 2004, vol. 152, pp. 94-112.

1. [2007, inproceedings]

   Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, and Satoshi Naoi, "An SVM-based high accuracy Handwritten Numeral Recognition Approach Using Difference Features," in Proc. to The International Conference on Document Analysis and Recognition (ICDAR2007), Brazil, 2007.

2. [2006, inproceedings | www]

   Kaizhu Huang, Haiqin Yang, Irwin King, and Michael R. Lyu, "Local Support Vector Regression For Financial Time Series Prediction," in Proc. 2006 International Joint Conference on Neural Networks (IJCNN2006), Vancouver, Canada, 2006, pp. 1622-1627.

3. [2005, inproceedings]

   Kaizhu Huang, Zhangbing Zhou, and Irwin King, "Improving Naive Bayesian Classifier by Discriminative Training," in Proc. 12th International Conference on Neural Information Processing, ICONIP2005, Taipei, Taiwan, 2005, pp. 49-54.

4. [2004, inproceedings | www]

   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 Proc. Proceedings of the 2004 International Joint Conference on Neural Networks (IJCNN2004), Budapest, Hungary, 2004, pp. 3189-3294.

5. [2004, inproceedings | www]

   Kaizhu Huang, Haiqin Yang, Irwin King, and Michael~R. Lyu, "Learning Large Margin Classifiers Locally and Globally," in Proc. Proceedings of the Twenty-First International Conference on Machine Learning (ICML2004), Banff, Canada, 2004, pp. 401-408.

6. [2004, inproceedings | www]

   Kaizhu Huang, Haiqin Yang, Irwin King, and Michael~R. Lyu, "Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine," in Proc. Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR2004), Washington D.C., 2004, pp. 558-563.

• ICONIP 2006, Program Committee and Session Chair
• IJCNN 2008, Special Session Co-chair
• Reviewers for International Journals:Machine Learning Journal, IEEE Trans. On Pattern Analysis and Machine Intelligence, IEEE Trans. On Biomedical Engineering, IEEE Trans. On System Man, Cybnetics Part B, International Journal of Control and Intelligent Systems, ACM Transactions on Asian Language Information Processing, NeuroComputing, Information Fusion, Journal of Computer Science and Technology

• Special Award for Best Research Output Fujitsu R&D Centre, 2007 (3 persons/year)

• Award of Q-finity, Fujitsu Corporation. 2006

• President Award, Fujitsu Laboratories, 2006 (Top award)

• Excellent Award for Best Research Output Fujitsu R&D Centre, 2006 (2 persons/year)

• Special Award for Best Research Output Fujitsu R&D Centre, 2005 (3 persons/year)

• Postgraduate Scholarship, CUHK Hong Kong, 2001~2004

• Postgraduate Scholarship, CAS, 1998~2000

• Logic Prize for Outstanding Students, XJTU,(top 1%), 1996

• Excellent Student Award, XJTU (top 1 %), 1996

• The Second Prize Scholarship (3 times) XJTU (top 7%), 1993~1995

• Gifted Youth Fellowship, XJTU (top 1%), 1992

[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 No.: 07-52540, China.