Publication List of Li Chun Hung

Journal Papers, Book Chapters and Edited Book Volumes

[1]                    C.H. Li, Guided Cluster Discovery with Markov Model, Applied Intelligence, vol. 22, no. 1, pages 37-46, 2005.

[2]                    Victor Cheng, C.H. Li, James Kwok, C.K. Li, Dissimilarity learning for Nominal Data, Pattern Recognition, vol. 37, no. 7, 2004.

[3]                    J. Huang, P.C. Yuen, J.H. Lai and C.H. Li, Face Recognition using Local and Global Features, EURSIP Journal on Applied Signal Processing, vol. 2004, no. 4, pages 530-541, 2004.

[4]                    C.H. Li, Cluster Identification using Ensemble Entropy, Data Mining and Granular Computing, Lecture Notes in Computer Science, accepted for publication.

[5]                    William H. Wong, Joseph K. Ng, and Chun-Hung Li, "The Architecture of DIVINE: An Object Database Server for Collaborative Virtual Environment", to appear in Journal of Applied Systems Studies (JASS), Cambridge International Science Publishing, Cambridge, England.

[6]                    C.H. Li and P.C. Yuen, Tongue Image Matching using Color Content, Pattern Recognition, volume 35, no. 2, pages 407-419, 2002.

[7]                    C.H. Li, A Force Field Model for Guided Cluster Discovery, Communications of the Institute of Information and Computing Machinery, vol. 5, no. 2, pages 51-57, 2002.

[8]                    J. Liu, P.C. Yuen, C.H. Li, J. Ng, T. Ishida, Active Media Technology, Lecture Notes in Computer Science, LNCS 2252, Springer, 2001.

[9]                    Y.T. Tang, V. Wickershauser, P.C. Yuen, C.H. Li, Wavelet Analysis and Its Applications, Lecture Notes in Computer Science, LNCS 2251, Springer, 2001.

[10]                 J.H. Zhu, P.C. Yuen, C.H. Li, Z.Y. Kuang, W. Wu, Towards the Standardization of Tongue Diagnosis: An image processing approach, Chinese Journal of Biomedical Engineering, volume 20, no. 2, pages 132-137, 2001.

[11]                 C.H. Li and P.C. Yuen, Regularized Color Clustering for Medical Image Database, IEEE Transactions on Medical Imaging, volume 19, no. 11, pages 1150-1155, 2000.

[12]                 W. Cheung, C.H. Li, Ernest Lam and Jiming Liu, Customized Electronic Commerce with Intelligent Software Agents, Internet Commerce and Software Agents: Cases, Technologies and Opportunities, Syed M. Rahman and Robert J. Bignall(ed.), Idea Group Publishing, pages 150-176, 2000.

[13]                 C.H. Li and P. Tam, A Probabilistic Nonlinear Diffusion Image Filter, Optical Engineering, volume 39, no. 9, pages 2381-2386, 2000.

[14]                 C.H. Li and P. Tam, Facet Model: A Global Energy Approach and Weighted Least Squares Algorithm, Pattern Recognition, volume 33, no. 2, pages 281-293, 2000.

[15]                 C.H. Li, C.K. Lee and P. Tam, Entropic Thresholding Algorithms and their Optimizations, in Information Theory, Maximum Entropy and Their Applications, book editor, Karmeshu, book chapter, in press, 2000.

[16]                 C.H. Li and P. Tam, An Iterated Algorithm to Minimum Cross Entropy, Pattern Recognition letters, volume 18, no. 8, pages 771-776, June, 1998.

[17]                 C.H. Li and P. Tam, A Modular Expert Network Approach to Histogram Thresholding, Journal of Electronic Imaging, volume 6, no. 3, pages 286-293, 1997.

[18]                 C.H. Li and C.K. Lee, Image Smoothing using Parametric Relaxation, Graphical Models and Image Processing, volume 57, no. 2, March, pages 161-174, 1995.

[19]                 C.H. Li and C.K. Lee, Minimum Cross Entropy Thresholding, Pattern Recognition, volume 26, no. 4, pages 617-625, 1993.

 

Conferences

[20]                 C. H. Li and Z. L. Wu, “Spectral Energy Minimization for Semi-supervised Learning”, Proceedings of the Pacific-Asia Conference on Knowledge Discover and Data Mining, Syndey, Australia, pages 13-21, 2004.

[21]                 Z.L. Wu and C.H. Li, “On Improving Sequential Minimal Optimization,” Proceedings of the third international Conference on Machine Learning and Cybernetics, Shanghai, pages 4308-4313, 2004.

[22]                 M. H. Pi and C. H. Li, “A novel fractal watermarking scheme”, Proceedings of the IEEE International conference on ASSP, pages 369-372, Montreal, Canada, 2004.

[23]                 Karl R.P.H. Leung, Joseph K. Ng, Tim K. Chan, Kenneth M. Chu, and Chun Hung Li, "Network Based Mobile Station Positioning in Metropolitan Area", Proceedings of the International Conference on Parallel and Distributed Computing (Euro-Par 2003), pp. 1017 --- 1026, Springer-Verlag, August 26-29, 2003, Klagenfurt, Austria.

[24]                 Z. L. Wu, C. H. Li, Joseph Ng and Karl Leung, Support Vector Regression for Location Estimation, Proceeding of the Joint International Conference on Artificial Neural Network (ICANN) and Neural Information Processing (ICONIP), pages 362-365, Turkey, 2003.

[25]                 William H. Wong, Joseph K. Ng, and C. H. Li, "The Design of DIVINE - A Distributed Virtual Interminable Environment", to appear in Proceedings of The International Conference on Advanced Information Networking and Applications (AINA), pages 126-131, March 27-29, 2003, Xidian University, Xi'an, China.

[26]                 C.H. Li, Cluster Identification using Graph Sampling and Entropy, Workshop on Foundations of Data Mining and Knowledge Discovery, The 2002 IEEE International Conference on Data Mining, pages 223-228, Maebashi, Japan, 2002.

[27]                 Victor Cheng, C.H. Li and C.K. Li, Inferring Similarities for Nominal Data, Workshop on Data Processing and Cleaning, The 2002 IEEE International Conference on Data Mining, pages 50-57, Maebashi, Japan, 2002.

[28]                 Victor Cheng, C.H. Li and C.K. Li, Intra-Feature Metric Matrices for Nominal Data Pattern Classification, Proceedings of the International Conference on Neural Information Processing (ICONIP 2003), pages 2587-2591, Singapore, 2002.

[29]                 C.H. Li and P.C. Yuen, Normalized Sampling for Color Clustering for Medical Diagnosis, Proceeding of the International Conference on Pattern Recognition (ICPR 2002), pages 819-822, Canada, 2002.

[30]                 C.H. Li, A Force-field model for guided clustering, Workshop on Toward the Foundations of Data Mining, Pacific-Asia Conference on Knowledge Discovery and Data Mining, In press, Taiwan, 2002.

[31]                 J Huang, P C Yuen, J H Lai and C.H. Li, Combining local and global features for face recognition, Proceedings of the Asian Conference on Computer Vision (ACCV 2002), In press, January 2002.

[32]                 C.H. Li, Constrained minimum cuts for classification using labeled and unlabeled data, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), vol.2, 597-602, IEEE Computer Society Press, 2001.

[33]                 C.H. Li and P.C. Yuen, Transductive learning: learning iris dataset with two labeled data, Proceedings of the International Conference on Artificial Neural Network ICANN 2001, pages 229-234, Springer-Verlag, 2001.

[34]                 C.H. Li and P.C. Yuen, Semi-supervised learning in medical image database, Advances in Knowledge Discovery and Data Mining, Proceedings of the Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining, editor D. Cheung G.J. Williams and Q. Li, pages 154-160, Springer-Verlag, Berlin, 2001.

[35]                 C.H. Li, Wai Wong, C.K. Wong and P.C. Yuen, Adaptive Web-based Learning System using Fuzzy Logic and XML, Proceedings of the International Conference on Information Society in the 21st Century IS2000, Japan, pages 509-515, 2000.

[36]                 C.H. Li, P.C. Yuen and P.K.S. Tam, A Probabilistic Image Model for Smoothing and Compression, Proceedings of International Conference on Information Technology: Coding and Computing, ITCC 2000, pages 36-41, IEEE Computer Society Press, USA, 2000.

[37]                 C.H. Li, Jiming Liu, E.C.M. Lam, P.C. Yuen and K.C.K. Wong, Personalized Web-based teaching, Proceedings of the Fifth Hong Kong Web Symposium: e-Education, Challenges and Opportunities, pages 189-200, 1999.

[38]                 C.H. Li and P.K.S. Tam, Recursive Edge-preserving Image Filter based on a Fuzzy Model, Proceeding of IEEE International Conference on Fuzzy Systems Fuzz-IEEE, pages 1643-1648, 1998, USA.

[39]                 T.T.C. Yip, C.C. Lau, C.H. Li, W.S. Ma, W.H. Lau, J.K.C. Chan, M.C. Cheung, Y.F. Poon and J.H.C. Ho, Implementation of neural network based cell segmentation to recognize Epestein-Barr Virus using RNA in nasal NK cell lymphoma for future development of automatic image scanning, Hong Kong International Cancer Congress, 1998.

[40]                 C.H. Li and P.K.S. Tam, Noise Suppression and Edge Finding using a Fuzzy Model, accepted for IEEE International conference on Intelligent Engineering Systems - INES’98, Vienna, September 1998.

[41]                 P.K.S. Tam and C.H. Li, Integrating Expert Modules by Local Receptive Neural Network, Proceedings of the IEEE International Conference in Intelligent Engineering Systems, pages 203-207, 1997, Budapest, Hungary.

[42]                 C.H. Li, P.K.S. Tam, T.T.C. Yip, W.H.H. Lau and V.M.S. Ma, Cell Segmentation using Bayesian Thresholding, Proceedings of the Fourth International Conference in Control, Automation, Robotics and Vision, pages 773-778, 1996, Singapore.

[43]                 C.H. Li and P.K.S. Tam, A Neural Network Approach to Threshold Selection, Proceedings of the International Conference on Neural Information Processing 1996, Springer-Verlag, pages1152-1157.

[44]                 C.H. Li and P.K.S. Tam, Robustness Analysis of Thresholding Algorithms, Proceedings of Second International Conference on Mechatronics and Machine Vision in Practice, ICM2VP, 1995, pages 203-208.

[45]                 C.H. Li and C.K. Lee, Segmentation of Die Patterns using minimum cross entropy, Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation, 1992, volume 2, pages 721-724, USA.