• Multimedia Signal Processing
• Bioinformatics
• Computational Intelligence Techniques

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 multimedia signal processing, networking and computational intelligence techniques.

• 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, 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, 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, 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.
• P. Chen, B. Wang, H.S. Wong and D Huang, “Prediction of Protein B-factors Using Multi-Class Bounded SVM”, Protein and Peptide Letters, vol 14, iss.2, pp. 185-190, 2007.
• B. Wang, H.S. Wong and D. Huang, “Inferring Protein-Protein Interaction Sites Using Residue Conservation and Evolutionary Information “, Protein and Peptide Letters, vol 13, iss. 10, pp. 999-1005, 2006.
• 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.
• H. S. Wong and R. Chung, "3-D Shape Recovery across Two Views Using Approximate Geometric Constraints ", Optical Engineering, vol 42, no. 3, pp. 632-641, 2003.
• 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.
• S. W. Perry, H. S. Wong and L. Guan, Adaptive Image Processing: A Computational Intelligence Perspective, CRC Press/ SPIE Press, 2002.
• 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.
• H. S. Wong and L. Guan, `` Computational Intelligence Techniques for Adaptive Regularization in Image Restoration,'' in New Frontiers in Computational Intelligence and Its Applications, M. Mohammadian ed, IOS Press, 2000.