Home
Publications

 

Web Intelligence

[1] Zhan, T.J., and Li, C.H., "Semantic Dependent Word Pairs Generative Model for Fine-Grained Product Feature Mining", Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 460-475. 2011.
[2] Zeng, J., Cheung, W.K., Li, C.H., and Liu, J., “Coauthor Network Topic Models with Application to Expert Finding,” in Proceedings of 2010 IEEE/WIC/ACM International Conference on Web Intelligence, Vancouva, Canada, 2010.
[3] Zhan, T.J., and Li, C.H. , Product Feature Mining with Nominal Semantic Structure, Proceeding of the International conference on Web Intelligence, Canada, Aug 2010, pp. 464-467.
[4] Li, W., Zhong, N., Yao, Y. Y., and Liu, J., An operable email based intelligent personal assistant', World Wide Web Journal, Springer, Vol. 12, No. 2, pp. 125-147 (2009).
[5] Zhong, N., Liu, J., and Yao, Y. Y., Web Intelligence (WI)', Benjamin Wah , Encyclopedia of Computer Science and Engineering, Vol. 5, John Wiley & Sons, pp. 3062-3072 (2009).
[6] Li, Jian, Cheung, K.W., Liu, J., and Li, C.H., On Discovering Community Trends in Social Networks', IEEE/ACM/WIC International Conference on Web Intelligence, Italy, Sep 2009.
[7] Chen, L., and Pu, P. , Critiquing-based Map Information Seeking', IADIS International Conference on Interfaces and Human Computer Interaction (IHCI'09), Algarve, Portugal, Jun 2009, 218-222.
[8] Jones, N., Pu, P., and Chen, L., How Users Perceive and Appraise Personalized Recommendations',  International Conference on User Modeling, Adaptation, and Personalization Conference (UMAP'09), Trento, Italy, Jun 2009,  461-466.
[9] Li, C.H., Sentence Factorization for Opinion Feature Mining, Proceedings of International Conference on Computational Aspects of Social Networks CASoN 2009, France, Jun 2009, pp.129-132.
[10] Leung, C. H. C., Liu, J., Chan, and W. S., Milani, A., An architectural paradigm for collaborative semantic indexing of multimedia data objects', Visual Information Systems: Web-Based Visual Information Search and Management, M. Sebillo et. al. (Eds), 2008, Lecture Notes in Computer Science, LNCS 5188, pp.216-226.
[11] Mao, Y., Wu, Z.H., Tian, W., and Cheung, K.W., Dynamic sub-ontology evolution for traditional Chinese medicine web ontology', Journal of Biomedical Informatics, Elsevier, 41(5):790-805 (2008).
[12] Zhong, N., Liu, J., Yao, Y.Y., Wu, J.L., Lu, S.F., Qin, Y.L., Li, K.C. and Wah, B., ‘Web Intelligence Meets Brain Informatics’, in Zhong N., Liu, J., Yao, Y.Y., Wu J.L., Lu, S.F., and Li, K.C. (Editors), Web Intelligence Meets Brain Informatics, State-of-the-Art-Survey, Springer LNCS 4845, 1-31 (2008).
[13] Cheng, V., and Li, C.H., Linked Topic and Interest Model for Web Forums, IEEE/ACM/WIC International Conference on Web Intelligence, Australia, Dec 2008, pp. 279-284.
[14] Gao, L., Liu, J., Zhang, S. W., and Yang, J., Discovering the dynamics in a social memory network', Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2008), Sidney, Australia, Dec 2008.
[15] Yang, B., Liu, J., Feng, J., and Liu, D., On modularity of social network communities: The spectral characterization', Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2008), Sidney, Australia, Dec 2008.
[16] Lu, J. G., Wang, Y., Liang, J., Chen, J., and Liu, J., An approach to deep Web crawling based on sampling', Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2008), Sidney, Australia, Dec 2008.
[17] Li, J., and Cheung, K.W., Query Rewriting for Access Control on Semantic Web', Proceedings of 5th VLDB Workshop on Secure Data Management, Auckland, New Zealand, Aug 2008, 151-168.
[18] Wu, Z.L., Cheng, C.W. and Li, C.H., ‘Social and Semantics Analysis Via Non-negative Matrix Factorization’, Proceedings of the 17th International World Wide Web Conference, Beijing, April 2008, pp 1245-1246.
[19] Yang, B., Cheung, K.W. and Liu, J., ‘Community mining from signed social networks’, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Press, 19(10):1333-1348, 2007.
[20] Zhong, N., Liu, J. and Yao, Y.Y., ‘Envisioning Intelligent Information Technologies (iIT) Through the Prism of Web Intelligence (WI)’, Communications of the ACM, Vol. 50, Issue 3, pp. 89-94 (2007).
[21] Liu, J., Zhong, N. and Yao, Y.Y., ‘Web Intelligence Meets Immunology’, in J.L. Wu, K. Ito, S. Tobimatsu, T. Nishida and H. Fukuyama (Eds.), Complex Medical Engineering, Springer, pp. 205-206 (2007).
[22] Yang, B., and Liu, J., ‘An Efficient Probabilistic Approach to Network Community Mining’, Proceedings of the Rough Sets and Knowledge Technology – Proceedings of the 2nd International Conference on Rough Sets and Knowledge Technology (RSKT 2007), Toronto, Canada, May 14-16, 2007, LNCS4481, Springer, pp. 267-275.
[23] Fung, Y.H., Li, C.H. and Cheung, K.W., ‘Discussion Participation Prediction Using Non-negative Matrix Factorization’, Proceedings of the Proceedings of the 2007 WI/IAT Workshop on Social Media Analysis, Silicon Valley, USA, December 2007.
[24] Wu, Z.L. and Li, C.H., ‘Topic Detection in Online Discussion using Non-Negative Matrix Factorization’, Proceedings of the Workshop Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, San Jose, December 2007.
[25] Fung, Y.H., Li, C.H. and Cheung, K.W., ‘Online discussion participation prediction using Non-Negative Matrix Factorization’, Proceedings of the Workshop Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, San Jose, December 2007, 284-287.
[26] Gil, Y., Cheung, K.W., Ratnakar, V. and Chan, K.K., ‘Privacy Enforcement in Data Analysis Workflows’, Proceedings of the ISWC'07 Workshop on Privacy Enforcement and Accountability with Semantics, Busan, Korea, November 2007.
[27] Cheng, C.W. and Li, C.H., ‘Topic Detection Via Participation Using Markov Logic Network’, Proceedings of the The Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, Shanghai, November 2007, 85-91.
[28] Cheung, K.W. and Gil, Y., ‘Towards Privacy Aware Data Analysis Workflows for e-Science’, Proceedings of the AAAI'07 Workshop on Semantic e-Science, Vancouver, Canada, July 2007.
[29] Gao, M.X., Liu, J., Zhong, N., Liu, C.N. and Chen, F.R., ‘A Learning-Based Model for Semantic Mapping from Natural Language Questions to OWL, in Marzena Kryszkiewicz, James F. Peters, Henryk Rybinski, Andrzej Skowron (Eds.)’, Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007, LNCS 4585, Springer, pp. 803-812.
[30] Mao, Y., Cheung, W. K., Wu, Z., and Liu, J., "Dynamic Sub-Ontology Evolution for Collaborative Problem Solving" , in Proceedings of the First International Symposium on Agents and the Semantic Web , Nov, 2005.
[31] Li, C.H., and Chui, C.K., "Website Structure Mining for Usability Analysis" , inProceedings of 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05) , Compiegne, France, Sept, 2005.
[32] Liu, J., "The Wisdom Web - A Grand Intellectual Undertaking" , Piotr S. Szczepaniak, Janusz Kacprzyk, and Adam Niewiadomski (Eds.), Advances in Web Intelligence: Proceedings of the 3rd International Atlantic Web Intelligence Conference (AWIC' 05) , Lodz,Poland, June 2005, pp.7-10.
[33] Liu, J., and Cheung, W., “On Knowledge Grid and Grid Intelligence – A Survey,” Computational Intelligence - An International Journal, Vol. 21, No. 2, May 2005.
[34] Liu, J., "World Wide Wisdom Web (W4) and Autonomy Oriented Computing (AOC): Challenges and Opportunities", Shanghai, May 2005.
[35] Li, C.H., and Chui, C.K., "Navigational Structure Mining for Usability Analysis" , inProceedings of the 2005 International Conference on E-technology, E-commerce, and E-service , Hong Kong, March, 2005.
[36] Liu, J., and Cheung, W., "A Driving Force for e-Transformation - The Centre for e-Transformation Research / WIC Hong Kong Centre," wi, pp.791-792, 2004.
[37] Cheung, K., and Sun, Y., "A Driving Force for e-Transformation - The Centre for e-Transformation Research / WIC Hong Kong Centre," wi, pp.791-792, 2004.
[38] Cheung, K., and Sun, Y., "Mining Web Site's Clusters from Link Topology and Site Hierarchy" , in Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence (WI'2003) , Halifax, Canada, 2004.
[39] Cheung, W.K., Liu, J., Tsang, K.H., and Wong, R.K., "Dynamic Resource Selection For Service Composition in The Grid"  , in Proceedings of the 2004 IEEE/WIC International Conference on Web Intelligence (WI 2004) , Beijing, China, 2004.
[40] Liu, J., and Zhang, S., "Characterizing Web usage regularities with information foraging agents" , IEEE Transactions on Knowledge and Data Engineering , Vol. 16, No. 4, 2004.
[41] Cheung, W.K., Liu, J., Tsang, K.H., and Wong, R.K., "Towards Autonomous Service Composition in A Grid Environment" , in Proceedings of 2004 IEEE International Conference on Web Services (ICWS 2004) , San Diego, USA, July 6-8, 2004, pp.550-557.

 

Agents and AOC

[1] Gao, C., Liu, J., and Zhong, N., “Network immunization and virus propagation in email networks: experimental evaluation and analysis,” Knowledge Information Systems, 27(2): 253-279 (2011).
[2] Liu, J., Qiu, H., Zhong, N., and Gao, C., "A dynamic trust network for autonomy- oriented partner finding," in Journal of Intelligent Information Systems, Springer, 2011.
[3] Gao, C., Liu, J., and Zhong, N., “Network immunization with distributed autonomy-oriented entities,” in IEEE Transactions on Parallel and Distributed Systems, 11(7): 1222-1229 (2011).
[4] Huang, L., and Liu, J., Characterizing Multiplex Social Dynamics with Autonomy Oriented Computing. LSMS/ICSEE (2): 277-287 (2010).
[5] Shi, B., and Liu, J., An Autonomy-Oriented Computing Mechanism for Modeling the Formation of Energy Distribution Networks: Crude Oil Distribution in U.S. and Canada. LSMS/ICSEE (2): 410-420 (2010).
[6] Yang, B., Liu, J., and Liu, D., An autonomy-oriented computing approach to community mining in distributed and dynamic networks. Autonomous Agents and Multi-Agent Systems 20(2): 123-157 (2010).
[7] Choi, C., Cheung, W.K., Cheung, I.T., and Liu, J., A multi-agent framework for cancer patient journey improvement,” in Proceedings of the Third International Conference on Health Informatics, 2010.
[8] Yang, B., Liu, J., and Feng, J., “On the spectral characterization and scalable mining of network communities,” in IEEE Transactions on Knowledge and Data Engineering, November, 2010.
[9] Yang, B., Liu, J., and Liu, D., An autonomy-oriented computing approach to community mining in distributed and dynamic networks', Autonomous Agents and Multi-Agent Systems, DOI10.1007/s10458-009-9080-2 (2009).
[10] Xie, X. F., and Liu, J., Multiagent optimization system for solving traveling salesman problem (TSP)', IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol. 39, No. 2, pp. 489-502. (2009).
[11] Liu, J., Jin, X., and Tsui, K.C., Autonomy Oriented Computing (AOC)', Benjamin Wah, Encyclopedia of Computer Science and Engineering, Vol 1, John Wiley & Sons, pp. 276-282, 2009.
[12] Liu, J. and Hu, B., ‘On Complex Emergent Behavior, Self-organized Criticality, and Phase Transition in Multi-agent Systems: The Autonomy Oriented Computing Perspectives’, The International Journal of Modeling, Identification and Control, 3(1): 3-16, 2008.
[13] Liu, J., Autonomy-Oriented Computing (AOC), self-organized computability, and complex data mining', Proceedings of ADMA 2008, LNAI 5139, Springer, 2008.
[14] Liu, J., Autonomy-Oriented Computing: The nature and implications of a paradigm for self-organized computing', Proceedings of the 4th International Conference on Natural Computation (ICNC'08), Vol. 1 (jointly held with the 5th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08), Oct. 18-20, 2008), Jinan, China, Oct 2008, IEEE, pp. 3-11.
[15] Zhang, S. and Liu, J., ‘Autonomy-oriented social networks modeling: Discovering the dynamics of emergent structure and performance’, International Journal of Pattern Recognition and Artificial Intelligence, 21(4): 611-638 (2007).
[16] Leung, H.C. and Liu, J., ‘Multimedia data mining and searching through dynamic index evolution’, G. Qiu et. al. (eds.), Advances in Visual Information Systems, Springer-Verlag Lecture Notes in Computer Science LNCS 4781, Berlin Heidelberg, 298-309, 2007.
[17] Minotra, D. and Liu, J., ‘An empirical study on a locality based heuristic in multi-agent constraint satisfaction’, Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2007), Silicon Valley, USA, November 2-5, 2007.
[18] Winoto, P., Cheung, Y.M. and Liu, J., ‘Mechanism Design for Clustering Aggregration by Selfish Systems’, Proceedings of the Proceedings of the 7th International Conference on Data Mining, Omaha, USA, October 2007, 703-708.
[19] Yang, B. and Liu, J., ‘An Autonomy Oriented Computing (AOC) Approach to Distributed Network Community Mining’, Proceedings of the First IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007), MIT, Boston, Mass., USA, July 9-11, 2007, 151-160.
[20] Xie, X.F. and Liu, J., ‘A Mini-Swarm for the Quadratic Knapsack Problem’, Proceedings of the IEEE Swarm Intelligence Symposium (SIS 2007), Honolulu, HI, USA, April 1-5, 2007,  190-197.
[21] Liu, J., and Tsui, K.C., "Towards nature inspired computing" , Communications of ACM, Vol. 49, Issue 10, Oct 2006.
[22] Zhang, S., and Liu, J., "A massively multi-agent system for discovering HIV-immune interaction dynamics" , in T. Ishida, L. Gasser, and H. Nakashima (Eds.), Massively Multi-Agent Systems, LNCS , Springer, 2005.
[23] Liu, J., Jin, X., and Tsui, K., "Autonomy Oriented Computing (AOC): Formulating Computational Systems with Autonomous Components" , IEEE Transactions on Systems, Man, and Cybernetics , Part A Vol. 35, Issue 6, pp. 879-902, Nov 2005.
[24] Zhang, S., and Liu, J., "Modeling and simulating the dynamics of service agent networks" , in Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'05) , Compiegne University of Technology, France, September 19-22, 2005.
[25] Liu, J., Jin, X. and Wang, Y., "Agent-based load balancing on homogeneous minigrids: Macroscopic modeling and characterization" , IEEE Transactions on Parallel and Distributed Systems , Vol. 16, No. 7, July 2005, pp. 586-598.
[26] Liu, J., Jin, X., and Tsui, K.C., Autonomy Oriented Computing (AOC): From Problem Solving to Complex Systems Modeling , Springer, 2005 (Monograph).
[27] Liu, J., Jin, X., and Tang, Y., "Multi-Agent Collaborative Service and Distributed Problem Solving" , Cognitive Systems Research , Elsevier, Vol. 5, No. 3, 2004, pp. 191-206.
[28] Liu, J., "Autonomy Oriented Computing (AOC) with MMAS:  From Problem Solving to Complex Systems Modeling" , 1st International Workshop on Massively Multi-Agent Systems (MMAS'04) , Kyoto, Japan, December 2004.
[29] Tsui, K., Liu, J., and Kaiser, M., "Self-organized load balancing in proxy servers" ,Journal of Intelligent Information Systems , Vol. 20, No. 1, 2003.
[30] Jin, X. and Liu, J., "On agent networks and their topologies" , in Proceedings of the 2003 International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2003) , Melbourne, Australia, July 14-18, 2003.
[31] Liu, J., Han, J., and Tang, Y., "Multi-agent oriented constraint satisfaction" ,Artificial Intelligence , Vol. 136, No. 1, 2002, pp. 101-144.

Data Mining

[1] Zeng, H., and Cheung, Y.M., “Semi-supervised Maximum Margin Clustering with Pairwise Constraints”, IEEE Transactions on Knowledge and Data Engineering, Vol. PP, Issue. 99, pp. 1,  2011.
[2] Cheng, V., and Li, C.H., "Classification Probabilistic PCA with Applications to Domain Adaption", Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 75-86. 2011.
[3] Zeng, H., and Cheung, Y.M., “Feature Selection and Kernel Learning for Local Learning Based Clustering”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, Issue. 8, pp. 1532-1547, Aug, 2011.
[4] Zhang, X., Cheung, W.K., and Li, C.H., “Learning Latent Variable Models From Distributed and Abstracted Data,” Information Sciences, 181(14), July, 2011, pp. 2964-2988.
[5] Zhou, N., Cheung, W.K., Qiu, G., and Xue, X., “A Hybrid Probabilistic Model for Unified Collaborative and Content-based Image Tagging,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(7), July 2011, pp.1281-1294.
[6] Cheung, Y.M., and Jia, H., “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.
[7] Cheng, M.W., Choi, B.K., and Cheung, W.K.,     “Hiding Emerging Patterns with Local Recoding Generalization,” in Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Hyderabad, India, 2010, 158-170.
[8] Zhao, X.M., Cheung, Y.M., and Huang, D.S., “Analysis of Gene Expression Data Using RPEM Algorithm in Normal Mixture Model with Dynamic Adjustment of Learning Rate”, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 24, No. 4, pp. 651-666, June, 2010.
[9] Xin, L., Cheung, W.K., and Liu, J., “Improving POMDP's Tractability Via Belief Compression and Clustering,”  IEEE Transactions on Systems, Man and Cybernetics, Part B, 40(1) (Feb. 2010), 125-136.
[10] Zeng, J., Cheung, K.W., Li, C.H., and Liu, J., Multirelational Topic Models. Proceedings of IEEE International Conference on Data Mining, 2009: 1070-1075.
[11] Yang, J., Cheung, K.W., and Chen, X.,     Learning element similarity matrix for semi-structured document analysis', Knowledge and Information Systems, Springer-Verlag New York, Inc., 19(1):53-78 (2009).
[12] Zeng, H., and Cheung, Y.M., A New Feature Selection Method for Gaussian Mixture Clustering', Pattern Recognition, Elesiver, 42(2):243-250 (2009).
[13] Zeng, H., and Cheung, Y.M., Feature Selection for Local Learning Based Clustering', 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'09), Bangkok, Thailand, Apr 2009, 414-425.
[14] Liu, H.L. and Cheung, Y.M., ‘On Blind Source Separation Using Generalized Eigenvalues with a New Metric’, Neurocomputing, Elsevier, 71(4-6):973-982 (2008).
[15] Li, J., Ng, K.P., Cheung, Y.M., and Huang, Z., Agglomerative Fuzzy K-means Clustering Algorithm with Selection of Number of Clusters', IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society, 20(11):1519-1534. (2008).
[16] Zhou, N., Cheung, K.W., Xue, X., and Qiu, G., ‘Collaborative and Content-based Image Labeling', Proceedings of 2008 International Conference on Pattern Recognition, Tampa, FL, Dec 2008, 1-4.
[17] Zeng, H., and Cheung, Y.M., Feature Selection for Clustering on High Dimensional Data', Tenth Pacific Rim International Conference on Artificial Intelligence (PRICAI'2008), Hanoi, Vietnam, Dec 2008, 913-922.
[18] Li, T., Pei, W., Wang, S.P., and Cheung, Y.M., Cooperation Controlled Competitive Learning Approach for Data Clustering', 2008 International Conference on Computational Intelligence and Security, Suzhou, Dec 2008, 24-29.
[19] Wu, Z., and Li, C.H., Large Margin Maximum Entropy Machines for Classifier Combination', International Conference on Wavelet Analysis and Pattern Recognition, Hong Kong, Aug 2008, pp. 378-383.
[20] Wu, Z., Zhang, A., Li, C.H., and Sudjianto, A., Trace Solution Paths for SVMs via Parametric Quadratic Programming', Workshop on Data Mining using Matrices and Tensors, The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, USA, Aug 2008.
[21] Cheung, Y.M. and Law, L.T., ‘Rival Penalized Self-Organizing Map’, IEEE Transactions on Neural Networks, IEEE Computational Intelligence Society, 18 (1): 289-295. (2007).
[22] Zhang, X. and Cheung, K.W., ‘A Game Theoretic Approach to Active Distributed Data Mining’, Proceedings of the 2007 IEEE/ACM/WIC International Conference on Intelligent Agent Technology, Silicon Valley, USA, December 2007, 109-115.
[23] Cheung, Y.M. and Zeng, H., ‘A Maximum Weighted Likelihood Approach to Model Selection and Feature Weighting in Gaussian Mixture’, Proceedings of the 2007 International Conference on Artificial Neural Networks, Portugal, September 2007, pp. 78-87.
[24] Li, X., Cheung, K.W., Liu, J. and Wu, Z., ‘A novel orthogonal NMF-based belief compression for POMDPs’, Paper presented at 2007 International Conference on Machine Learning, Oregan, USA, June 2007.
[25] Wu, Z. and Li, C.H., ‘L0-Constrained Regression for Data Mining’, Proceedings of the The 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007), Nanjing, China, May 2007, 981-988.
[26] Cheng, V. and Li, C.H., ‘Combining Supervised and Semi-supervised Classifier for Personalized Spam Filtering’, Proceedings of the The 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2007), Nanjing, May, 2007, 449-456.
[27] Zhang, D. and Cheung, Y.M., ‘A Batch Rival Penalized EM Algorithm for Gaussian Mixture Clustering with Automatic Model Selection’, Proceedings of the Second International Conference of Rough Sets and Knowledge Technology, Toronto, Canada, May 2007, 252-259.
[28] Zhao, X.M., Cheung, Y.M., Chen, L. and Aihara, K., ‘A New Technique for Adjusting the Learning Rate of RPEM Algorithm Automatically’, Proceedings of the The Twelfth International Symposium on Artificial Life and Robotics, Beppu, Oita, Japan, January 2007, 597-600.
[29] Chang, H., and Yeung, D.Y., "Robust path-based spectral clustering with application to image segmentation" , in Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV) , Beijing, China, 15-21 October 2005.
[30] Yang, J., Cheung, W.K., and Chen, X., "Integrating Element Kernel and Term Semantics for Similarity-Based XML Document Clustering" , in Proceedings of 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05) , Compiegne, France, Sept, 2005.
[31] Li, X., Cheung, W.K., and Liu, J., "Decomposing Large Scale POMDP Via Belief State Analysis" , in Proceedings of 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'05) , Compiegne, France, Sept, 2005.
[32] Li, X., Cheung, W.K., and Liu, J., "Towards Solving Large-Scale POMDP Problems via Spatio-Temporal Brief State Clustering" , in Proceedings of IJCAI-05 Workshop on Reasoning with Uncertainty in Robotics (RUR-05) , Edinburgh, Scotland, July, 2005.
[33] Zhang, X., and Cheung, W.K., "Learning Global Models based on Local Data Abstractions" , in Proceedings of International Joint Conference on Artificial Intelligence , Edinburgh, Scotland, July, 2005.
[34] Tsang, I.W., Cheung, P.M., and Kwok, J.T., "Kernel relevant component analysis for distance metric learning" , in Proceedings of the 2005 International Joint Conference on Neural Networks (IJCNN'05) , Montreal, Canada, July 2005.
[35] Chai, X.Y., and Yang, Q., "Multiple-Goal Recognition From Low-level Signals" , AAAI 2005, Pittsburg, PA USA, July 2005.
[36] Pan, R., Yang, Q., Pan, J.F., and Li, L., "Competence Driven Case-Base Mining. Proceedings of the AAAI 2005" , Pittsburg, PA USA, July 2005.
[37] Zhang, X., Lam, C., and Cheung, W., "Web Page Organization and Visualization Using Generative Topographic Mapping - V A Pilot Study" , in Proceedings of ICML 2004 Workshop on Statistical Relational Learning (SRL'2004) , Benff, Canada, July 8, 2004.
[38] Au, K., and Cheung, K., "Hidden Markov Models with Adaptive Structures for Information Extraction" , in Proceedings of the 8th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2004) , Sydney, Australia, May 26-28, 2004.
[39] Cheung, K., Tsui, K., and Liu, J., "Extended latent class model for collaborative recommendation" , IEEE Transaction of System, Man and Cybernetics - Part A , Vol. 34, No. 1, pp. 143-147, January, 2004.
 

Applications

[1] Liu, J., and Xia, S., “Effective epidemic control via strategic vaccine deployment: a systematic approach,” in Proceedings of the 1st ACM International Conference on Health Informatics, 2010, pp. 91-99.
[2] Cheung, K.W., Morch, A. I., Wong, K. C., Lee, C., Liu, J., and Lam, M. H., Grounding Collaborative Learning in Semantics-Based Critiquing', Mahbubur Syed, Methods and Applications for Advancing Distance Education Technologies: International Issues and Solutions, Information Science Reference, 106-119 (2009).
[3] Lee, C., Wong, K. C., Cheung, K.W., and Lee, F. S., Web-based essay critiquing system and EFL students' writing: a quantitative and qualitative investigation', Computer Assisted Language Learning, Routledge, 22(1):57-72 (2009).
[4] Leung, C. H. C., Chan, W. S., and Liu, J., Collective evolutionary indexing of multimedia objects', Proceedings of the 2009 International Conference on Computational Science and Its Applications (ICCSA 2009 / IWCES-09), Jun 2009, Lecture Notes in Computer Science.
[5] Chu, K., Leung, M., Ng, K., Ng, K.Y., and Li, C.H., A Directional Propagation Model for Locating Mobile Stations within a Mobile Phone Network', International Journal of Wireless and Mobile Computing (IJWMC): Special Issue on Applications, Services and Infrastructure for Wireless and Mobile Computing, Inderscience, pp. 12-21. (2008).
[6] Wang, M., Liu, J., Wang, H., Cheung, K.W. and Xie, X.           , ‘On-demand e-supply chain integration: A multi-agent constraint-based approach’, Expert Systems with Applications, Elsevier, 34(4):2683-2692 (2008).
[7] Wu, Z., Li, C.H., and Ng, K.Y., Improvements to RADAR Location Classification', Proceedings of the 2008 International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2008), China, Oct 2008, pp. 1-4.
[8] Wu, Z., Li, C.H., Ng, K.Y. and Leung, R.P.H., ‘Location Estimation via Support Vector Kernel Regression’, IEEE Transactions on Mobile Computing, Institute of Electrical and Electronics Engineers, Inc., 6(3):311-321 (2007).
[9] Luo, Z., Wang, M., Cheung, K.W., Liu, J., Tong, F. and Tan, C.J., ‘An Agent-mediated Middleware Service Framework for e-Logistics’, E. Li and S. Yuan, Agent Systems in Electronic Business - Advances in Electronic Business, IGI Global, Vol. 3, 193-217 (2007).
[10] Cheung, K.W., Morch, A. I., Wong, C.K., Lee, C., Liu, J. and Lam, M.H., ‘Grounding Collaborative Learning in Semantics-Based Critiquing’, International Journal of Distance Education Technologies, IGI Publishing, 5(2):40-55 (2007).
[11] Wong, C.K., Lee, S.L., Lee, C., Cheung, K.W., Morch, A. and Liu, J., ‘A Pilot Study on the Impact of the Web-based Essay Critiquing System on Writing at the Tertiary Level’, Proceedings of the Proceedings of the 2007 International Joint Conference on e-Commerce, e-Administration, e-Society, and e-Education, Hong Kong, August 2007.
[12] Wang, M.H., Wang, H.Q. and Liu, J., ‘Dynamic Supply Chain Integration Through Intelligent Agents’, Proceedings of the 40th Hawaii International Conference on Systems Science (HICSS-40 2007), CD-ROM / Abstracts Proceedings, Waikoloa, Big Island, HI, USA, January 3-6, 2007, IEEE Computer Society, pp. 46.
[13] Morch, A.I., Cheung, W.K., Wong, K.C., Liu, J., Lee, C., Lam, M., and Tang, J.P., "Grounding Collaborative Knowledge Building in Semantics-Based Critiquing" , inProceeding of International Conference on Web-based Learning , Hong Kong, 2005.
[14] Pan, J.F., Kwok, J.T., Yang, Q., and Chen, Y.Q., "Accurate and Low-cost Location Estimation Using Kernels" , IJCAI 2005, Edinburgh, UK, Aug 2005.
[15] Yin, J., Shen, D., Yang, Q., and Li, Z.N., "Activity Recognition through Goal-Based Segmentation" , AAAI 2005, Pittsburg, PA USA, July 2005.
[16] Wu, Z., Li, C., Ng, J., and Leung, K., "Support Vector Regression for Location Estimation" , in Proceedings of ICANN/ICONIP 2003 , June 26-29, 2003, Istanbul, Turkey.
 

 

 

 
< Prev
© 2017 Centre for E-Transformation Technology Research - WIC/Hong Kong Research Centre
Joomla! is Free Software released under the GNU/GPL License.