CHEUNG, Yiu-ming (±i¾å©ú), PhD, FIET, FBCS, FIETI

Full Professor, Department of Computer Science,

Hong Kong Baptist University, Hong Kong

[Hong Kong Scholar Recruitment (posted on January 22, 2017): If one is interested to join Hong Kong Scholars Program as a two-year Postdoc in the fields of Computer Vision, Pattern Recognition, or Machine Learning, please send your CV to Prof. Yiu-ming Cheung via e-mail.]

 

Mail Address:

7/F, Department of Computer Science,
Sir Run Run Shaw Building,
Hong Kong Baptist University,
Kowloon Tong, Kowloon, Hong Kong.

¶l±H¦a§}:
­»´ä¤EÀs¶í®û·|¤j¾Çªò¶h¤Ò¤j¼Ó7¼Ó­pºâ¾÷¬ì¾Ç¨t

 

Tel.: (+852) 3411 5155
Fax: (+852) 3411 7892
E-mail:
ymc(at)comp.hkbu.edu.hk; ymcheung789 (at) gmail.com

 

´y­z: ´y­z: ´y­z: ´y­z: ´y­z: ´y­z: ´y­z:  y­z:  y­z:  y­z:  y­z:  y­z: M:\public_html\orange.gif

 

Profile:

Yiu-ming Cheung is a Full Professor of Department of Computer Science and an Associate Director of Institute of Computational and Theoretical Studies at Hong Kong Baptist University (HKBU). He received PhD degree from Department of Computer Science and Engineering at The Chinese University of Hong Kong in 2000, and then joined the Department of Computer Science at HKBU in 2001. He is currently an IET / IEE Fellow, British Computer Society (BCS) Fellow, and Fellow of International Engineering and Technology Institute, Hong Kong (IETI), as well as the ¡§Chu Tian Scholars (·¡¤Ñ¾ÇªÌ)¡¨ in China.

His research interests include Computational Intelligence, Statistical Learning, Intelligent Visual Computing, Pattern Recognition, Data Mining, and Watermarking. He has published over 200 articles in the high-quality conferences and journals, including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Image Processing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on SMC (Part B), Pattern Recognition, and so on. Moreover, he has been granted one Chinese patent and two US patents. In particular, selected from 1000 new inventions and products of 700+ competition teams from 40 countries, he was awarded two most prestigious prizes: (1) the Gold Medal with Distinction (i.e. the highest grade in Gold Medals) and (2) Swiss Automobile Club Prize, in the 45th International Exhibition of Invention, Geneva, Switzerland, on March 29-April 2, 2017, in recognition of his excellent innovative work with the potential social and economic impact. In addition, he was the recipient of the Best Research Paper Award in IEEE IWDVT¡¦2015 and ICNC-FSKD¡¦2014, respectively, and the recipient of 2011 Best Research Award in Department of Computer Science, HKBU.

He is the Founding Chairman of IEEE (Hong Kong) Computational Intelligence Chapter and the current Vice Chair of Technical Committee on Intelligent Informatics (TCII) of IEEE Computer Society. He has served in various capacities (e.g., Organizing Committee Chair, Program Committee Chair, Program Committee Area Chair, Financial Chair, etc.) at several top-tier international conferences, including IEEE-sponsored WCCI¡¦2016, ICDM¡¦2017 & ICDM¡¦2006, WI-IAT¡¦2012 & WI-IAT¡¦2006. Currently, he is the Associate Editor of several prestigious journals, including IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, Knowledge and Information Systems (KAIS), and International Journal of Pattern Recognition and Artificial Intelligence, as well as the Guest Co-editor in several international journals.

 

International Software Competition:

Yiu-ming Cheung and his partner proposed a novel approach and developed software accordingly to participate in the worldwide International Nonlinear Financial Forecasting Competition (INFFC), held in USA in 1995. In this competition, all participated software was tested using real-life financial data, and evaluated by more than 12 major performance evaluation indices. The performance of their developed software is at either first-place or second place under the measurement of these major indices. The detailed competition results, including the performance assessment of their software by a set of indices, are both published in the Proceedings of the First INFFC, edited by Randall B. Caldwell, Finance & Technology Publishing, 1997.

 

The List of Patents:

1.      ¡§Method and Apparatus for Eye Gaze Tracking ¡¨ [US Patent: US9,563,805];

2.  ¡§A Lip-password Based Speaker Verification System¡¨ [US Patent: US9,159,321B2];

3. "An Infrared-Spectrum Based Recognition System for Identifying Chinese Herbal Species, Origins and Growth Mode with High-recognition Rate" [Chinese Patent: ZL200810005068.3, Introduction].

 

Selected Publications:

I. Selected Refereed Journals (Sorted by Reverse Chronological Order)

[J.044] Q.Q. Shi, H.P. Lu and Y.M. Cheung, ¡§Rank-One Matrix Completion with Automatic Rank Estimation via L1-Norm Regularization¡¨, IEEE Transactions on Neural Networks and Learning Systems, in press.

[J.043] J.B. Zeng, Y. Liu, B. Leng, Z. Xiong and Y.M. Cheung, ¡§Dimensionality Reduction in Multiple Ordinal Regression¡¨, IEEE Transactions on Neural Networks and Learning Systems [DOI: 10.1109/TNNLS.2017.2752003].

[J.042] H. Jia and Y.M. Cheung, ¡§Subspace Clustering of Categorical-and-Numerical Data With an Unknown Number of Clusters¡¨, IEEE Transactions on Neural Networks and Learning Systems [DOI: 10.1109/TNNLS.2017.2728138].

[J.041] F.Q. Gu and Y.M. Cheung, ¡§Self-organizing Map-based Weight Design for Decomposition-based Many-objective Evolutionary Algorithm¡¨, IEEE Transactions on Evolutionary Computation [DOI: 10.1109/TEVC.2017.2695579].

[J.040] Y. Wang, J.W. Wan, J. Guo, Y.M. Cheung and P.C. Yuen, ¡§Inference-based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification¡¨, IEEE Transactions on Pattern Analysis and Machine Intelligence [DOI: 10.1109/TPAMI.2017.2727048].

[J.039] Y. Zhang, Y.M. Cheung and W.F. Su, ¡§A Total-variation Constrained Permutation Model for Revealing Common Copy Number Patterns¡¨, Scientific Reports 7, Article Number: 9666, Nature, 2017 [DOI: 10.1038/s41598-017-09139-8].

[J.038] S.Y. Yi, Z.Y. He, Y.M. Cheung and W.S. Chen, ¡§Unified Sparse Subspace Learning via Self-contained Regression¡¨, IEEE Transactions on Circuits and Systems for Video Technology [DOI: 10.1109/TCSVT.2017.2721541].

[J.037] Y. Zhang, Y.M. Cheung, B. Xu and W.F. Su, ¡§Detecting Copy Number Variants from NGS with Sparse and Smooth Constraints¡¨, IEEE/ACM Transactions on Computational Biology and Bioinformatics [DOI: 10.1109/TCBB.2016.2561933].

[J.036] X. Liu, G.F. He, S.J. Peng, Y.M. Cheung and Y.Y. Tang, ¡§Efficient Human Motion Retrieval via Temporal Adjacent Bag of Words and Discriminative Neighborhood Preserving Dictionary Learning¡¨, IEEE Transactions on Human-Machine System [DOI: 10.1109/THMS.2017.2675959].

[J.035] Y.M. Cheung and J. Lou, ¡§Proximal Average Approximated Incremental Gradient Descent for Composite Penalty Regularized Empirical Risk Minimization¡¨, Machine Learning, 106(4):595-622, April, 2017 [DOI: 10.1007/s10994-016-5609-1].

[J.034] 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, 28(1):80-93, January 2017 [DOI: 10.1109/TNNLS.2015.2501547].

[J.033] Z.Y. He, S.Y. Yi, Y.M. Cheung, X.G. You and Y.Y. Tang, ¡§Robust Object Tracking via Key Patch Sparse Representation¡¨, IEEE Transactions on Cybernetics, 47(2):354-364, February 2017 [DOI: 10.1109/TCYB.2016.2514714].

[J.032] S.Y. Yi, Z.H. Lai, Z.Y. He, Y.M. Cheung and Y. Liu, ¡§Joint Sparse Principal Component Analysis¡¨, Pattern Recognition, Vol. 61, pp. 524-536, 2017.

[J.031] Q.M. Peng, Y.M. Cheung, X.G. You and Y.Y. Tang, ¡§A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance¡¨, IEEE Transactions on Systems, Man and Cybernetics: Systems, 47(1):86-97, January 2017 [DOI: 10.1109/TSMC.2016.2564922].

[J.030] 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.

[J.029] H. Jia, Y.M. Cheung and J.M. Liu, ¡§A New Distance Metric for Unsupervised Learning of Categorical Data¡¨, IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, No. 5, pp. 1065-1079, 2016.

[J.028] X. Liu, Y.M. Cheung and Y.Y. Tang, ¡§Lip Event Detection Using Oriented Histograms of Regional Optical Flow and Low Rank Affinity Pursuit¡¨, Computer Vision and Image Understanding, Vol. 148, pp. 153-163, 2016 [DOI: 10.1016/j.cviu.2015.11.015].

[J.027] P.Y. Zhang, X.G. You, W.H. Ou, C.L. Philip Chen and Y.M. Cheung, ¡§Sparse Discriminative Multi-manifold Embedding for One-sample Face Identification¡¨, Patter Recognition, Vol. 52, pp. 249-259, April 2016.

[J.026] Z.Q. Zhao, Y.M. Cheung, H.B. Hu, and X.D. Wu, ¡§Corrupted and Occluded Face Recognition via Cooperative Sparse Representation¡¨, Pattern Recognition, Vol. 56, pp. 77-87, August 2016.

[J.025] Y. Wang, L.P. Wang, Y.M. Cheung and P.C. Yuen, ¡§Learning Compact Binary Codes for Hash-based Fingerprint Indexing¡¨, IEEE Transactions on Information Forensics and Security, 10(8), pp. 1603-1616, 2015.

[J.024] Y.M. Cheung and Q.M. Peng, ¡§Eye Gaze Tracking with a Web Camera in a Desktop Environment¡¨, IEEE Transactions on Human-Machine Systems, 45(4): 419-430, 2015.

[J.023] 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.

[J.022] X. Liu and Y.M. Cheung, "Learning Multi-Boosted HMMs for Lip-Password Based Speaker Verification", IEEE Transactions on Information Forensics and Security, Vol. 9, No. 2, pp. 233-246, 2014.

[J.021] H.Jia, Y.M. Cheung and J. Liu, "Cooperative and Penalized Competitive Learning with Application to Kernel-based Clustering", Pattern Recognition, Vol. 47, pp. 3060-3069, 2014.

[J.020] M. Lutf, X.G. You, Y.M. Cheung and C.L. Philip Chen, ¡§Arabic Font Recognition Based on Diacritics Features¡¨, Pattern Recognition, Vol. 47, No. 2, pp. 672-684, 2014.

[J.019] Y.M. Cheung and H. Jia, "Categorical-and-numerical-attribute Data Clustering based on a Unified Similarity Metric without Knowing Cluster Number", Pattern Recognition, Vol. 46, No. 8, pp. 2228-2238, 2013. [Source Code (zip)]

[J.018] H. Zeng and Y.M. Cheung, "Semi-supervised Maximum Margin Clustering with Pairwise Constraints", IEEE Transactions on Knowledge and Data Engineering, Vol. 24, No. 5, pp. 926-939, 2012.

[J.017] Y.M. Cheung, X. Liu and X.G. You,  "A Local Region Based Approach to Lip Tracking", Pattern Recognition, Vol. 45, No. 9, pp. 3336-3347, 2012.

[J.016] 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.

[J.015] X.G. You, L. Du, Y.M. Cheung and Q.H. Chen, "A Blind Watermarking Scheme Using New Nontensor Product Wavelet Filter Banks", IEEE Transactions on Image Processing, Vol. 19, No. 12, pp. 3271-3284, 2010.

[J.014] Y. Liu, Mark Li, Y.M. Cheung, Pak C. Sham and Michael K. Ng, "SKM-SNP: SNP Markers Detection Method", Journal of Biomedical Informatics, Vol. 43, No. 2, pp. 233-239, 2010.

[J.013] H.T. Wu and Y.M. Cheung, "Reversible Watermarking by Modulation and Security Enhancement", IEEE Transactions on Instrumentation and Measurement, Vol. 59, No. 1, pp. 221-228, 2010.

[J.012] Y.M. Cheung and H. Zeng, "Local Kernel Regression Score for Selecting Features of High-dimensional Data", IEEE Transactions on Knowledge and Data Engineering, Vol. 21, No. 12, pp. 1798-1802, 2009.

[J.011] H. Zeng and Y.M. Cheung, "A New Feature Selection Method for Gaussian Mixture Clustering", Pattern Recognition, Vol. 42, No. 2, pp. 243-250, 2009.

[J.010] Mark J. Li, Michael K. Ng, Y.M. Cheung and Joshua Z.X. Huang, "Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters", IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 11, pp. 1519-1534, 2008.

[J.009] Y.M. Cheung and H.T. Wu, "A Sequential Quantization Strategy for Data Embedding and Integrity Verification", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 17, No. 8, pp. 1007-1016, 2007.

[J.008] Z.Y. Zhang and Y.M. Cheung, "On Weight Design of Maximum Weighted Likelihood and an Extended EM Algorithm", IEEE Transactions on Knowledge and Data Engineering, Vol. 18, No. 10, pp. 1429-1434, 2006.

[J.007] 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, pp. 750--761, 2005. [Source Code (zip)]

[J.006] Y.M. Cheung, "On Rival Penalization Controlled Competitive Learning for Clustering with Automatic Cluster Number Selection", IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 11, pp. 1583-1588, 2005.

[J.005] X.M. Zhao, Y.M. Cheung and D.S. Huang, "A Novel Approach to Extracting Features from Motif Content and Protein Composition for Protein Sequence Classification", Neural Networks, Vol. 18, No. 8, pp. 1019-1028, October, 2005.

[J.004] Y.M. Cheung , "k*-Means: A New Generalized k-Means Clustering Algorithm", Pattern Recognition Letters, Vol. 24, Issue 15, pp. 2883--2893, 2003.

[J.003] Y.M. Cheung and L. Xu, "Dual Multivariate Auto-regressive Modeling in State Space for Temporal Signal Separation", IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics, Vol. 33, No. 3, pp. 386-398, June, 2003.

[J.002] K.K. Hung, Y.M. Cheung and L. Xu, "An Extended ASLD Trading System to Enhance Portfolio Management", IEEE Transactions on Neural Networks, Vol. 14, No. 2, pp. 413--425, March, 2003.

[J.001] Y.M. Cheung and L. Xu, "An RPCL-based Approach for Identification of Markov Model with Unknown State Number", IEEE Signal Processing Letters, Vol. 7, No. 10, pp. 284-287, October, 2000.

 

II. Selected Refereed Conference Papers (Sorted by Reverse Chronological Order)

[C.035] Y. Lu, Y.M. Cheung and Y.Y. Tang, ¡§Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift¡¨, Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI¡¦2017), pp. 2393-2399, Melbourne, Australia, August 19-25, 2017. [Paper]

[C.034] Y. Zhou, H.P. Lu and Y.M. Cheung, ¡§Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations¡¨, Proceedings of the Thirty-first AAAI Conference on Artificial Intelligence (AAAI¡¦2017), pp. 2949-2955, San Francisco, California USA, February 4-9, 2017. [Paper]

[C.032] Y.M. Cheung and J. Lou, ¡§Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning¡¨, Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM¡¦2016), Indianapolis, USA, October 24-28, 2016, DOI: http://dx.doi.org/10.1145/2983323.2983738 [Paper, Experimental Code].

[C.031] H.F. Huang, H. Zhang and Y.M. Cheung, ¡§The Common Self-Polar Triangle of Separate Circles: Properties and Applications to Camera Calibration¡¨, Proceedings of IEEE International Conference on Image Processing (ICIP¡¦2016), pp. 1170-1174, Phoenix, Arizona, USA, September 25-28, 2016. [Paper]

[C.030] Y. Lu, Y.M. Cheung and Y.Y. Tang, ¡§Hybrid Sampling with Bagging for Class Imbalance Learning¡¨, Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD¡¦2016), LNAI 9651, Part I, pp. 14-26, Auckland, New Zealand, April 19-22, 2016. [Paper]

[C.029] H.F. Huang, H. Zhang and Y.M. Cheung, ¡§Homography Estimation from the Common Self-polar Triangle of Separate Ellipses¡¨, Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR¡¦2016), pp. 1737-1744, 2016. [Paper]

[C.028] Y.M. Cheung and J. Lou, ¡§Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization¡¨, Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI¡¦2015), pp. 3409-3415, 2015. [Paper]

[C.027] H.F. Huang, H. Zhang and Y.M. Cheung, ¡§The Common Self-polar Triangle of Concentric Circles and Its Application to Camera Calibration¡¨, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR¡¦2015), pp. 4065-4072, 2015. [Paper]

[C.026] Y.M. Cheung and J. Lou, ¡§Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization¡¨, JMLR: Workshop and Conference Proceedings of the 7th Asian Conference on Machine Learning (ACML¡¦2015), 45, pp. 205-220, Hong Kong, November 20-22, 2015. [Paper]

[C.025] Z.Q. Zhao, B.J. Xie, Y.M. Cheung and X.D. Wu, ¡§Plant Leaf Identification via A Growing Convolution Neural Network with Progressive Sample Learning¡¨, Proceedings of the 12th Asian Conference on Computer Vision (ACCV¡¦14), Part II, LNCS 9004, pp. 348-361, Singapore, November 1-5, 2014.

[C.024] H.F. Huang, H. Zhang and Y.M. Cheung, ¡§Camera Calibration Based on the Common Self-polar Triangle of Sphere Images¡¨, Proceedings of the 12th Asian Conference on Computer Vision (ACCV¡¦14), Part II, LNCS 9004, pp. 19-29, Singapore, November 1-5, 2014. [Paper]

[C.023] J. Wang, Z.Q. Zhao, X.G. Hu, Y.M. Cheung, M. Wang and X.D. Wu, ¡§Online Group Feature Selection¡¨, Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI¡¦2013), pp. 1757-1763, Beijing, August 2013. [Paper]

[C.022] Y.M. Cheung and H. Jia, ¡§A Unified Metric for Categorical and Numerical Attributes in Data Clustering¡¨, Proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD¡¦2013), Vol. 2, LNAI 7819, pp. 135-146, April 14-17, Gold Coast, Australia, 2013.

[C.021] X. Liu and Y.M. Cheung, ¡§A Multi-boosted HMM Approach to Lip Motion Password Based Speaker Verification¡¨, Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP¡¦2012), pp. 2197-2200, Kyoto, Japan, March 25-30, 2012.

[C.020] S.J. Peng, X. Liu and Y.M. Cheung, ¡§Subspace Based Active Contours with a Joint Distribution Metric for Semi-supervised Natural Image Segmentation¡¨, Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP¡¦2012), pp. 1173-1176, Kyoto, Japan, March 25-30, 2012.

[C.019] Y.M. Cheung and M. Li, ¡§MAP-MRF Based Lip Segmentation without True Segment Number¡¨, Proceedings of 19th IEEE International Conference on Image Processing (ICIP¡¦11), pp. 781-784, September 11-14, 2011.

[C.018] X. Liu and Y.M. Cheung, "A Robust Lip Tracking Algorithm Using Localized Color Active Contours and Deformable Models", Proceedings of 2011 International Conference on Acoustics, Speech and Signal Processing (ICASSP'11), pp. 1197-1200, 2011. [Paper]

[C.017] S.J. Peng, X. Liu and Y.M. Cheung, ¡§Active Contours with a Novel Distribution Metric for Complex Object Segmentation¡¨, Proceedings of 19th IEEE International Conference on Image Processing (ICIP¡¦11), pp. 3406-3409, September 11-14, 2011.

[C.016] Y.M. Cheung and H. Jia, "A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering", Proceedings of the 20th International Conference on Artificial Neural Networks (ICANN'10), Lecture Notes in Computer Science (LNCS 6354), pp. 435-440, 2010. [Paper]

[C.015] M. Li and Y.M. Cheung, "Automatic Segmentation of Color Lip Images Based on Morphological Filter", Proceedings of the 20th International Conference on Artificial Neural Networks (ICANN'10), Lecture Notes in Computer Science (LNCS 6352), pp. 384-387, 2010. [Paper]

[C.014] X. Liu, Y.M. Cheung, M. Li and H.L. Liu, "A Lip Contour Extraction Method Using Localized Active Contour Model with Automatic Parameter Selection", Proceedings of 2010 International Conference on Pattern Recognition (ICPR'2010), pp. 4332-4335, 2010. [Paper]

[C.013] Q.M. Peng, X.G. You, L. Zhou and Y.M. Cheung, "Retinal Blood Vessels Segmentation Using the Radial Projection and Supervised Classification", Proceedings of 2010 International Conference on Pattern Recognition (ICPR'2010), pp. 1489-1492, 2010. [Paper]

[C.012] P. Winoto and Y.M. Cheung and J.M. Liu, "Mechanism Design for Clustering Aggregration by Selfish Systems", Proceedings of 7th IEEE International Conference on Data Mining (ICDM'07), pp. 703-708, 2007. [Paper]

[C.011] Y.M. Cheung and H. Zeng, "A Maximum Weighted Likelihood Approach to Model Selection and Feature Weighting in Gaussian Mixture", Proceedings of 2007 International Conference on Artificial Neural Networks (ICANN'07), LNCS 4668, Part I: pp. 78-87, 2007. [Paper]

[C.010] H.T. Wu and Y.M. Cheung, "A High-Capacity Data Hiding Method for Polygonal Meshes", Proceedings of 8th Information Hiding (IH'06), 2006. [Paper]

[C.009] H.T. Wu and Y.M. Cheung, "A Fragile Watermarking Scheme for 3D Meshes", Proceedings of the 7th Workshop on Multimedia & Security (ACM'05), pp. 117-123, 2005. [Paper]

[C.008] H.L. Liu and Y.M. Cheung, "A Learning Framework for Blind Source Separation Using Generalized Eigenvalues", Proceedings of International Symposium on Neural Network, LNCS 3497, pp. 472--477, Chongqin, 2005. [Paper]

[C.007] Y.M. Cheung, "A Rival Penalized EM Algorithm towards Maximizing Weighted Likelihood for Density Mixture Clustering with Automatic Model Selection", Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04), Vol. 4, pp. 633-636, Cambridge, United Kingdom, 2004. [Paper]

[C.006] Y.M. Cheung, "A Competitive and Cooperative Learning Approach to Robust Data Clustering", Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence (NCI'2004), pp. 131-136, Grindelwald, Switzerland, 2004. [Paper]

[C.005] Y.M. Cheung and Hailin Liu, "A New Approach to Blind Source Separation with Global Optimal Property", Proceedings of the IASTED International Conference of Neural Networks and Computational Intelligence (NCI'2004), pp. 137-141, Grindelwald, Switzerland, 2004. [Paper]

[C.004] Y.M. Cheung and R.B. Huang, "An Advance on Divide-and-Conquer Based Radial Basis Function Networks", Proceedings of Fourth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'2003), pp. 143--150, Springer Publisher, Hong Kong, March 21-23, 2003. [Paper]

[C.003] L.T. Law and Y.M. Cheung, "Color Image Segmentation Using Rival Penalized Controlled Competitive Learning", Proceedings of 2003 International Joint Conference on Neural Networks (IJCNN'2003), Portland, Oregon, USA, July 20-24, 2003. [Paper]

[C.002] Y.M. Cheung, "Rival Penalization Controlled Competitive Learning for Data Clustering with Unknown Cluster Number", Proceedings of 9th International Conference on Neural Information Processing (Paper ID: 1983 in CD-ROM Proceeding), Singapore, November 18-22, 2002. [Paper]

[C.001] Y.M. Cheung, "A New Recurrent Radial Basis Function Network", Proceedings of 9th International Conference on Neural Information Processing (Paper ID: 1538 in CD-ROM Proceeding) , Singapore, November 18-22, 2002. [Paper]

 

Book Chapter:

[B.001] Z.B. Lai, Y.M. Cheung and L. Xu, "Independent Component Ordering in ICA Analysis of Financial Data", Computational Finance, Chapter 14, pp. 201-212, edited by Yaser S. Abu-Mostafa, Blake LeBaron, Andrew W. Lo and Andreas S. Weigend, The MIT Press, 1999.

 

Co-Edited Books:

  1. Computational Intelligence and Security, Lecture Notes in Artificial Intelligence (LNAI) (Part I: LNAI 3801, Part II: LNAI 3802), Springer, 2005.

 2. Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science (LNCS 2690), Springer, 2003.

 

List of Taught Courses:

COMP2230 / COMP3005 Design and Analyis of Algorithms

COMP7640 Database Systems & Administration

COMP1170 Introduction to Structured Programming

COMP 1210 / COMP 2015 Data Structures and Algorithms

COMP 2440 Database Systems II

COMP3010 Artificial Intelligence

COMP3170 Artificial Intelligence and Machine Learning

SCI3790 Machine Learning: Theories & Applications

SCI 4150 Artificial Intelligence (M.Sc. Course)

 

This web site is maintained by the webmaster.