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Prof. CHEUNG, Yiu Ming 張曉明
B.Sc., M.Phil., Ph.D., FIET, FBCS, FIETI
Professor, Department of Computer Science

 
   
E-mail:
Personal Website: http://www.comp.hkbu.edu.hk/~ymc

Prof. Cheung received the PhD degree from the Department of Computer Science and Engineering at the Chinese University of Hong Kong. Currently, he is a Full Professor at the Computer Science Department in Hong Kong Baptist University (HKBU). Also, he is serving as the Associate Editor in IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, Knowledge and Information Systems: An International Journal, and International Journal of Pattern Recognition and Artificial Intelligence. Prof. Cheung is the Founding Chairman of Hong Kong Chapter of IEEE Computational Intelligence Society, and the Vice Chair of Technical Committee on Intelligent Informatics (TCII) of IEEE Computer Society. He is an IET/IEE Fellow, BCS Fellow, and IETI Fellow. Also, he is the recipient of "Chu Tian Scholars (楚天學者)" in China.  


Research Interests

  • Computational Intelligence
  • Statistical Learning
  • Intelligent Visual Computing
  • Pattern Recognition
  • Data Mining
  • Watermarking

Selected Publications

  • Y.M. Cheung, M. Li, Q.M. Peng and C.L. Philip Chen, “A Cooperative Learning-based Clustering Approach to Lip Segmentation without Knowing Segment Number”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 1, pp. 80-93, January 2017.
  • Y.M. Cheung, F.Q. Gu and H.L. Liu, “Objective Extraction for Many-Objective Optimization Problems: Algorithm and Test Problems”, IEEE Transactions on Evolutionary Computation, 20(5):755-772, October 2016.
  • Y.M. Cheung, M. Li, X. Cao and X.G. You, "Lip Segmentation under MAP-MRF Framework with Automatic Selection of Local Observation Scale and Number of Segments", IEEE Transactions on Image Processing, Vol. 23, No. 8, pp. 3397-3411, 2014.
  • H. Zeng and Y.M. Cheung, “Feature Selection and Kernel Learning for Local Learning Based Clustering”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 8, pp. 1532-1547, August, 2011.
  • Y.M. Cheung, “Maximum Weighted Likelihood via Rival Penalized EM for Density Mixture Clustering with Automatic Model Selection”, IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 6, pp750-761, 2005.
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Department of Computer Science, Hong Kong Baptist University
Hong Kong Baptist University