Associate Professor

BSc MPhil CUHK, PhD Sydney


Email: cshswong at cityu.edu.hk

Contact: 3442 8624










I am currently recruiting PhD students.  For interested candidates with a master degree, please send CV and transcripts to the above e-mail.  The application due date is 10 December 2013.


Research interests:

  • Machine Learning
  • Bioinformatics
  • Multimedia Signal Processing



Hau-San Wong received the B.Sc and MPhil degrees in Electronic Engineering from the Chinese University of Hong Kong, and the PhD degree in Electrical and Information Engineering from the University of Sydney, Australia. Prior to joining the City University of Hong Kong, he was a research associate in the School of Electrical and Information Engineering, the University of Sydney and a post-doctoral teaching fellow in the Department of Computer Science, Hong Kong Baptist University. His research interests include machine learning, bioinformatics and multimedia signal processing.



Representative Publications:

  • Z. Yu, H.S. Wong, J. You, G. Yu and G. Han, “Hybrid Cluster Ensemble Framework Based on the Random Combination of Data Transformation Operators ”, Pattern Recognition, vol. 45, iss. 5, pp. 1826-1837, 2012.
  • S. Zhang, H.S. Wong and Y. Shen, “Generalized Adjusted Rand Indices for Cluster Ensembles ”, Pattern Recognition, vol. 45, iss. 6, pp. 2214-2226, 2012.
  • X. Li, H.S. Wong and S. Wu, “A Fuzzy Minimax Clustering Model and its Applications ”, Information Sciences, vol. 186, iss. 1, pp. 114-125, 2012.
  • L. Zhang, Y. Chen, H.S. Wong, S. Zhou, H. Mamitsuka and S. Zhu, “TEPITOPEpan: Extending TEPITOPE for Peptide Binding Prediction Covering over 700 HLA-DR Molecules ”, PLoS ONE, vol. 7, iss. 2, e30483, doi:10.1371/journal.pone.0030483, 2012.
  • Z. Yu, H.S. Wong, D. Wang and M. Wei, “Neighborhood Knowledge-Based Evolutionary Algorithm for Multiobjective Optimization Problems ”, IEEE Trans. on Evolutionary Computation, vol. 15, no. 6, 2011.
  • Y. Shen, H.S. Wong, S. Zhang and Z. Yu, “Feature-Based 3D Motif Filtering for Ribosomal RNA ”, Bioinformatics, vol. 27, iss. 20, pp. 2828-2835, 2011.
  • Z. Yu, H.S. Wong and G. Wen, “A Modified Support Vector Machine and its Application to Image Segmentation ”, Image and Vision Computing, vol. 29, iss. 1, pp. 29-40, 2011.
  • Z. Yu and H.S. Wong, “Quantization-Based Clustering Algorithm ”, Pattern Recognition, vol. 43, iss. 8, pp. 2698-2711, 2010.
  • S. Zhang, H.S. Wong, Z. Yu and H.H.S. Ip, “Hybrid Associative Retrieval of Three-Dimensional Models ”, IEEE Trans. on Systems, Man and Cybernetics-Part B: Cybernetics, vol. 40, no. 6, pp. 1582-1595, 2010.
  • Z. Yu, H.S. Wong, H. Peng and Q. Ma, “ASM: An Adaptive Simplification Method for 3D Point-Based Models ”, Computer-Aided Design, vol. 42, iss. 7, pp. 598-612, 2010.
  • Z. Yu, Z. Deng, H.S. Wong and L. Tan, “Identifying Protein Kinase-Specific Phosphorylation Sites Based on the Bagging-AdaBoost Ensemble Approach ”, IEEE Trans. on Nanobioscience, vol. 9, no. 2, pp. 132-143, 2010.
  • K.H. Yap, L. Guan, S.W. Perry and H.S. Wong, Adaptive Image Processing: A Computational Intelligence Perspective, 2nd Edition, CRC Press, 2010.
  • H. Wang, H.S. Wong, H. Zhu and T. Yip, “A Neural Network-Based Biomarker Association Information Extraction Approach for Cancer Classification ”, Journal of Biomedical Informatics, vol. 42, iss. 4, pp. 654-666, 2009.
  • H.S. Wong and H. Wang, “Constructing the Gene Regulation Level Representation of Microarray Data for Cancer Classification”, Journal of Biomedical Informatics, vol. 41, iss. 1, pp. 95-105, 2008.
  • H.S. Wong, B. Ma, Y. Sha and H.H.S. Ip, “3D Head Model Retrieval in Kernel Feature Space Using HSOM”, Pattern Recognition, vol. 41, iss. 2, pp. 468-483, 2008.
  • Z. Yu, H.S. Wong and H. Wang, “Graph-based Consensus Clustering for Class Discovery from Gene Expression Data”, Bioinformatics, vol. 23, no. 21, pp. 2888-2896, 2007.
  • H. Wang, H.S. Wong, D. Huang and J. Shu, “Extracting Gene Regulation Information for Cancer Classification”, Pattern Recognition, vol. 40, iss. 12, pp. 3379-3392, 2007.
  • H. S. Wong, B. Ma, Z. Yu, P.F. Yeung and H.H.S. Ip, “3D Head Model Retrieval Using a Single Face View Query”, IEEE Trans. on Multimedia, vol 9, no 5, pp. 1026-1036, 2007.
  • Z. Yu and H.S. Wong, “A Rule Based Technique for Extraction of Visual Attention Regions Based on Real-Time Clustering”, IEEE Trans. on Multimedia, vol 9, no 4, pp. 766-784, 2007.
  • B. Ma, H. Qu and H.S. Wong, “Kernel Clustering-based Discriminant Analysis”,  Pattern Recognition, vol 40, iss. 1, pp. 324-327 2007.
  • X.Y. Jing, H.S. Wong and D. Zhang, “Face Recognition Based on 2D Fisherface Approach”, Pattern Recognition, vol. 39, issue 4, pp. 707-710, 2006.
  • B. Ma and H.S. Wong, “2D Clustering Based Discriminant Analysis for 3D Head Model Classification”, Pattern Recognition, vol. 39, issue 3, pp. 491-494, 2006.
  • H.S. Wong, K.T.K. Cheung, C.I. Chiu and H.S.H. Ip, “Application of Evolutionary Strategies for 3D Graphical Model Categorization and Retrieval”, Multimedia Systems, vol. 10, no.5, pp. 422-431, 2005.
  • H.S. Wong, K.T.K. Cheung and H.S.H. Ip, “3D Head Model Classification by Evolutionary Optimization of the Extended Gaussian Image Representation”, Pattern Recognition, vol. 37, pp. 2307-2322, 2004.
  • R. Chung and H. S. Wong, "Polyhedral Localization in an Image by Referencing to a Single Model View ", International Journal of Computer Vision, vol 51, no. 2, pp. 139-163, 2003.
  • P. Muneesawang, H. S. Wong, J. Lay and L. Guan, "Learning and Adaptive Characterization of Visual Contents in Image Retrieval Systems ", in Handbook of Neural Network for Signal Processing, Y. Hu and J. Hwang, eds, CRC Press, 2002. 
  • M. Wu, R. Joyce, H. S. Wong, L. Guan and S. Y. Kung, ``Dynamic Resource Allocation via Video Content and Short-term Traffic Ststistics '' IEEE Trans. on Multimedia, vol 3, no. 2, pp. 186-199, 2001.
  • H. S. Wong and L. Guan, ``A Neural Learning Approach for Adaptive Image Restoration Using a Fuzzy Model-Based Network Architecture,'' IEEE Trans. on Neural Networks, vol 12, no. 3, pp. 516-531, 2001.
  • H. S. Wong and L. Guan, ``Application of Evolutionary Programming to Adaptive Regularization in Image Restoration,'' IEEE Trans. on Evolutionary Computation, vol 4, no. 4, pp. 309-326, 2000.
  • H. S. Wong, T. Caelli and L. Guan, ``A Model-Based Neural Network for Edge Characterization ,'' Pattern Recognition, vol 33, no. 3, pp.427-444, 2000.