Selected PhD Graduates

Journal Publications

1. Y. Ke, J. Cheng, and W. Ng. Efficient Correlation Search from Graph Databases. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 20(12): 1601-1615, 2008.
2. Y. Ke, J. Cheng, and W. Ng. Correlated Pattern Mining in Quantitative Databases. In ACM Transactions on Database Systems (TODS), 33(3), 2008.
3. J. Cheng, Y. Ke, and W. Ng. Effective Elimination of Redundant Association Rules. In Data Mining and Knowledge Discovery (DMKD/DAMI), 16(2): 221-249, 2008.
4. J. Cheng, Y. Ke, and W. Ng. Maintaining Frequent Closed Itemsets over a Sliding Window. In Journal of Intelligent Information Systems (JIIS), 31(3): 191-215, 2008.
5. J. Cheng, Y. Ke, and W. Ng. A Survey on Algorithms for Mining Frequent Patterns over Data Streams. In Knowledge and Information Systems Journal (KAIS), 16(1): 1-27, 2008.
6. Y. Ke, J. Cheng, and W. Ng. An Information-Theoretic Approach to Quantitative Association Rule Mining. In Knowledge and Information Systems Journal (KAIS), 16(2): 213-244, 2008.
7. W. Ng, Y. W. Lam, and J. Cheng. Comparative Analysis of XML Compression Technologies. In World Wide Web (WWW) Journal, 9(1): 5-33, 2006.

Conference Publications

1. J. Cheng, Y. Ke, W. Ng, and J. X. Yu. Context-Aware Object Connection Discovery in Large Graphs. Accepted and to appear in the 25th International Conference on Data Engineering (ICDE), 2009. (Full Paper)
2. J. Cheng, Y. Ke, W. Ng, and A. Lu. FG-Index: Towards Verification-Free Query Processing on Graph Databases. In Proceedings of the 26th ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 857-872, 2007.
3. Y. Ke, J. Cheng, and W. Ng. Correlation Search in Graph Databases. In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 390-399, 2007.
4. J. Cheng and W. Ng. A Development of Hash-Lookup Trees to Support Querying Streaming XML. In Proceedings of the 12th International Conference on Database Systems for Advanced Applications (DASFAA), pages 768-780, 2007.
5. W. Ng and J. Cheng. An Efficient Index Lattice for XML Query Evaluation. In Proceedings of the 12th International Conference on Database Systems for Advanced Applications (DASFAA), pages 753-767, 2007.
6. A. Lu, Y. Ke, J. Cheng, and W. Ng. Mining Vague Association Rules. In Proceedings of the 12th International Conference on Database Systems for Advanced Applications (DASFAA), pages 891-897, 2007.
7. J. Cheng, Y. Ke, and W. Ng. £_-Tolerance Closed Frequent Itemsets. In Proceedings of the 6th IEEE International Conference on Data Mining (ICDM), pages 139-148, 2006.
8. Y. Ke, J. Cheng, and W. Ng. Mining Quantitative Correlated Patterns Using an Information-Theoretic Approach. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 227-236, 2006.
9. J. Cheng, Y. Ke, and W. Ng. Maintaining Frequent Itemsets over High-Speed Data Streams. In Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pages 462-467, 2006. [Technical Report]
10. Y. Ke, J. Cheng, and W. Ng. MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining. In Proceedings of the 22nd International Conference on Data Engineering (ICDE), 2006.
11. Y. Yang, W. Ng, H. L. Lau, and J. Cheng. An Efficient Approach to Support Querying Secure Outsourced XML Information. In Proceedings of the 18th Conference on Advanced Information Systems Engineering (CAiSE), pages 157-171, 2006.
12. J. Cheng and W. Ng. XQzip: Querying Compressed XML Using Structural Indexing. In Proceedings of the 9th International Conference on Extending Database Technology (EDBT), pages 219-236, 2004.

Journal Publication

• Bingsheng He and Qiong Luo. Cache-Oblivious Databases: Limitations and Opportunities. TODS (ACM Transaction on Database Systems), June, 2008.
• Bingsheng He, Qiong Luo and Byron Choi, Adaptive Index Utilization in Memory-Resident Structural Joins. TKDE 2007: IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 6, pp. 772-788, June, 2007.
• Bingsheng He, Qiong Luo and Byron Choi, Cache-Conscious Automata for XML Filtering, IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 12, pp. 1629-1644, Dec., 2006.

Conference and Workshop Publication

• Ke Yang, Bingsheng He, Qiong Luo, Pedro Sander, Jiaoying Shi. Stack-Based Parallel Recursion on Graphics Processors. (Poster) To appear in PPoPP09: 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming.
• Yinan Li, Bingsheng He, Qiong Luo and Ke Yi. Tree Indexing on Flash Disks. (short paper) To appear in IEEE International Conference on Data Engineering (ICDE), 2009.
• Bingsheng He, Wenbin Fang, Qiong Luo, Naga K. Govindaraju, and Tuyong Wang. Mars: A MapReduce Framework on Graphics Processors. PACT08: IEEE International Conference on Parallel Architecture and Compilation Techniques 2008.
• Hongyu Guo, Bingsheng He, Yifan He, Qiong Luo, Bo Peng, and Xiangye Xiao. Frequent Pattern Mining on Graphics Processors. ACM SIGMOD 2008 undergraduate poster competition.
• Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, and Pedro V. Sander. Relational Joins on Graphics Processors. ACM SIGMOD 2008.
• Bingsheng He, Naga K. Govindaraju, Qiong Luo, Burton Smith. Efficient Gather and Scatter Operations on Graphics Processors. SC07: ACM/IEEE SuperComputing 2007.
• Bingsheng He, Yinan Li, Qiong Luo, Dongqing Yang. EaseDB: A Cache-Oblivious In-Memory Query Processor. ACM SIGMOD 2007 (system demonstration).
• Rui Fang, Binsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro Sander. GPUQP: Query Co-Processing using Graphics Processors. ACM SIGMOD 2007 (system demonstration).
• Bingsheng He, Yinan Li, Qiong Luo and Dongqing Yang. A General Framework for Improving Query Processing Performance on Multi-Level Memory Hierarchies. ACM SIGMOD Third International Workshop on Data Management on New Hardware 2007.
• Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga K. Govindaraju, Qiong Luo, Pedro Sander, Jiaoying Shi. In-Memory Grid Files on Graphics Processors. ACM SIGMOD Third International Workshop on Data Management on New Hardware 2007.
• Bingsheng He and Qiong Luo. Cache-Oblivious Query Processing. CIDR 2007: The 3rd Biennial Conference on Innovative Data Systems Research.
• Bingsheng He and Qiong Luo. Cache-Oblivious Nested-Loop Joins. CIKM2006: ACM Fifteenth Conference on Information and Knowledge Management.
• Zi Lin, Bingsheng He, and Byron Choi. A Quantitative Summary of XML Structures. ER 2006: 25th International Conference on Conceptual Modeling.
• Bingsheng He, Qiong Luo and Byron Choi. Cache-Conscious Automata for XML Filtering. ICDE 2005: 21st International Conference on Data Engineering.
• Qiong Luo, Lionel M. Ni, Bingsheng He, Hejun Wu, and Wenwei Xue. MEADOWS: Modeling, Emulation, and Analysis of Data of Wireless Sensor Networks. International Workshop on Data Management for Sensor Networks (DMSN'04) in conjunction with VLDB 2004.
• Wenwei Xue, Bingsheng He, Hejun Wu, Qiong Luo. The HKUST Frog Pond - A Case Study of Sensory Data Analysis. Building Intelligent Sensor Networks Workshop (BISON'04) in conjunction with IFIP NPC'04.
• Hejun Wu, Qiong Luo, Pei Zheng, Bingsheng He, and Lionel M. Ni. Accurate Emulation of Wireless Sensor Networks. Building Intelligent Sensor Networks Workshop (BISON'04) in conjunction with IFIP NPC'04.

Journal Publications

1. James Cheng, Yiping Ke, and Wilfred Ng. Efficient Query Processing on Graph Databases. To appear in ACM Transactions on Database Systems (TODS).
2. Yiping Ke, James Cheng, and Wilfred Ng. Efficient Correlation Search from Graph Databases. To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE).
3. Yiping Ke, James Cheng, and Wilfred Ng. Correlated Pattern Mining in Quantitative Databases. To appear in ACM Transactions on Database Systems (TODS).
4. James Cheng, Yiping Ke, and Wilfred Ng. Effective Elimination of Redundant Association Rules. In Data Mining and Knowledge Discovery, Volume 16, Number 2, pages 221-249, April 2008. (DMKD/DAMI).
5. Yiping Ke, James Cheng, and Wilfred Ng. An Information-Theoretic Approach to Quantitative Association Rule Mining. In Knowledge and Information Systems Journal, Volume 16, Number 2, pages 213-244, August 2008. (KAIS).
6. James Cheng, Yiping Ke, and Wilfred Ng. A Survey on Algorithms for Mining Frequent Itemsets over Data Streams. In Knowledge and Information Systems Journal, Volume 16, Number 1, pages 1-27, July 2008. (KAIS).
7. James Cheng, Yiping Ke, and Wilfred Ng. Maintaining Frequent Closed Itemsets over a Sliding Window. To appear in Journal of Intelligent Information Systems (JIIS).
8. Yiping Ke, Lin Deng, Wilfred Ng, and Dik Lun Lee. Web Dynamics and their Ramifications for the Development of Web Search Engines. In Computer Networks Journal - Special Issue on "Web Dynamics", Volume 50, Issue 10, pages 1430-1447, 2006.

Conference Publications

1. James Cheng, Yiping Ke, Wilfred Ng, and Jeffrey Xu Yu. Context-Aware Object Connection Discovery in Large Graphs. To appear in IEEE International Conference on Data Engineering, 2009. (ICDE 2009).
2. Zheng Liu, Jeffrey Xu Yu, Yiping Ke, Xuemin Lin, and Lei Chen. Spotting Significant Changing Subgraphs in Evolving Graphs. To appear in IEEE International Conference on Data Mining, 2008. (ICDM 2008).
3. Yiping Ke, James Cheng, and Wilfred Ng. Correlation Search in Graph Databases. (Nomination for the Best Paper Award) In Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 390-399, 2007. (KDD 2007).
4. James Cheng, Yiping Ke, Wilfred Ng, and An Lu. FG-Index: Towards Verification-Free Query Processing on Graph Databases. In Proceedings of the 26th ACM SIGMOD International Conference on Management of Data, pages 857-872, 2007. (SIGMOD 2007).
5. An Lu, Yiping Ke, James Cheng, and Wilfred Ng. Mining Vague Association Rules. In Proceedings of the 12th International Conference on Database Systems for Advanced Applications, pages 891-897, 2007. (DASFAA 2007).
6. James Cheng, Yiping Ke, and Wilfred Ng. £_-Tolerance Closed Frequent Itemsets. In Proceedings of the 6th IEEE International Conference on Data Mining, pages 139-148, 2006. (ICDM 2006).
7. Yiping Ke, James Cheng, and Wilfred Ng. Mining Quantitative Correlated Patterns Using an Information-Theoretic Approach. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 227-236, 2006. (KDD 2006).
8. James Cheng, Yiping Ke, and Wilfred Ng. Maintaining Frequent Itemsets over High-Speed Data Streams. In Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 462-467, 2006. (PAKDD 2006). [Long Version]
9. Yiping Ke, James Cheng, and Wilfred Ng. MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining. In Proceedings of the 22nd International Conference on Data Engineering, page 112, 2006. (ICDE 2006).
10. Qingzhao Tan, Yiping Ke, and Wilfred Ng. WUML: A Web Usage Manipulation Language For Querying Web Log Data. International Conference on Conceptual Modeling ER 2004, Lecture Notes of Computer Science Vol.3288, Shanghai, China, pages 567-581, 2004. (ER 2004).

• Alexander Markowetz, Yin Yang, Dimitris Papadias: Reachability Indexes for Relational Keyword Search. ICDE, Shanghai, 2009, to appear.
• Alexander Markowetz, Yin Yang, Dimitris Papadias: Keyword search on relational data streams. SIGMOD Conference 2007: 605-616
• Yen-Yu Chen, Torsten Suel, Alexander Markowetz: Efficient query processing in geographic web search engines. SIGMOD Conference 2006: 277-288
• Alexander Markowetz, Yen-Yu Chen, Torsten Suel, Xiaohui Long, Bernhard Seeger: Design and Implementation of a Geographic Search Engine. WebDB 2005: 19-24

Technical Reports

• Chang Xu, S.C. Cheung, W.K. Chan, and Chunyang Ye. A Study of Resolution Strategies for Pervasive Context Inconsistency. Technical Report HKUST-CS07-11, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China, Aug 2007.
• Chang Xu, S.C. Cheung, W.K. Chan, and Chunyang Ye. Consistency Constraints for Context-Aware Applications. Technical Report HKUST-CS07-08, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China, Jul 2007.
• Chunyang Ye, S.C. Cheung, W.K. Chan, and Chang Xu. Atomicity Violation Analysis for Service Composition. Technical Report HKUST-CS07-03, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China, Mar 2007.
• Chunyang Ye, S.C. Cheung, W.K. Chan, and Chang Xu. Isolation for Service Collaboration. Technical Report HKUST-CS06-06, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China, Sep 2006.
• Chang Xu and S.C. Cheung. Incremental Context Consistency Checking. Technical Report HKUST-CS05-15, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China, Oct 2005.
• Chang Xu, S.C. Cheung, and Chunyang Ye. Inconsistency Detection and Repairing for Context-Aware Middleware Support. Technical Report HKUST-CS05-04, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China, Jan 2005.
• Chang Xu, S.C. Cheung, and Xiangye Xiao. Capability Matching of Web Services. Technical Report HKUST-CS04-08, Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China, Jul 2004.

Conference and Workshop Publications

• Chang Xu, S.C. Cheung, W.K. Chan, and Chunyang Ye. Heuristics-Based Strategies for Resolving Context Inconsistencies in Pervasive Computing Applications. In Proceedings of the 28th International Conference on Distributed Computing Systems (ICDCS 2008), pp. 713-721, Beijing, China, Jun 2008. [acceptance rate: 16.0%]
• Chang Xu and S.C. Cheung. Decentralized Constraint Checking for Pervasive Computing. In Proceedings of the 6th Annual IEEE International Conference on Pervasive Computing and Communications (Percom 2008 PhD forum), pp. 45-48, Hong Kong, China, Mar 2008.
• Chunyang Ye, S.C. Cheung, W.K. Chan, and Chang Xu. Detection and Resolution of Atomicity Violation in Service Composition. In Proceedings of the 6th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2007), pp. 235-244, Dubrovnik, Croatia, Sep 2007. [acceptance rate: 17.1%]
• Chang Xu, S.C. Cheung, W.K. Chan, and Chunyang Ye. On Impact-Oriented Automatic Resolution of Pervasive Context Inconsistency. In Proceedings of the 6th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2007), pp. 569-572, Dubrovnik, Croatia, Sep 2007.
• Chang Xu, S.C. Cheung, and W.K. Chan. Goal-Directed Context Validation for Adaptive Ubiquitous Systems. In Proceedings of the ICSE 2007 Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2007), article 17, pp. 1-10, Minneapolis, Minnesota, USA, May 2007.
• Chunyang Ye, S.C. Cheung, W.K. Chan, and Chang Xu. Local Analysis of Atomicity Sphere for B2B Collaboration. In Proceedings of the 14th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE 2006), pp. 186-196, Portland, Oregon, USA, Nov 2006. [acceptance rate: 20.0%]
• Chang Xu, S.C. Cheung, and W.K. Chan. Incremental Consistency Checking for Pervasive Context. In Proceedings of the 28th International Conference on Software Engineering (ICSE 2006), pp. 292-301, Shanghai, China, May 2006. [acceptance rate: 9.1%]
• Chang Xu and S.C. Cheung. Inconsistency Detection and Resolution for Context-Aware Middleware Support. In Proceedings of the Joint 10th European Software Engineering Conference and 13th ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2005), pp. 336-345, Lisbon, Portugal, Sep 2005. [acceptance rate: 15.9%]
• Chang Xu, S.C. Cheung, and Xiangye Xiao. Semantic Interpretation and Matching of Web Services. In Proceedings of the 23rd International Conference on Conceptual Modeling (ER 2004), pp. 542-554, Shanghai, China, Nov 2004. [acceptance rate: 19.4%]
• Chang Xu, S.C. Cheung, Cindy Lo, K.C. Leung, and Jun Wei. Cabot: On the Ontology for the Middleware Support of Context-Aware Pervasive Applications. In Proceedings of the NPC 2004 Workshop on Building Intelligent Sensor Networks (BISON 2004), pp. 568-575, Wuhan, China, Oct 2004.
• Xin Zhang, Chang Xu, and Beihong Jin. Building Extensible and High Performance Distributed Transaction Service. In Proceedings of the Australian Software Engineering Conference (ASWEC 2004), pp. 202-210, Melbourne, Australia, Apr 2004.
• Chang Xu and Beihong Jin. Conformance Test of Distributed Transaction Service. In Proceedings of the 12th Asian Test Symposium (ATS 2003), pp. 216-219, Xi'an, China, Nov 2003.
• Chang Xu, Xiaofang Chen, Beihong Jin, and Xin Zhang. Performance Optimization for a Distributed Transaction Manager. In Proceedings of the 7th IASTED International Conference on Software Engineering and Applications (SEA 2003), Marina del Rey, USA, Nov 2003.
• Chang Xu and Ke Ding. Design and Implementation of a Distributed Transaction Manager. In Proceedings of the 7th CAS Graduate Symposium on Computer Science and Technology, Guangyuan, China, Jul 2002.
• Journal Publications
• Chang Xu, S.C. Cheung, W.K. Chan, and Chunyang Ye. Partial Constraint Checking for Context Consistency in Pervasive Computing. ACM Transactions on Software Engineering and Methodology, Forthcoming.
• Chunyang Ye, S.C. Cheung, W.K. Chan, and Chang Xu. Atomicity Analysis of Service Composition across Organizations. IEEE Transactions on Software Engineering, Forthcoming.

Journal Publications

• Wai-Pun Ken Yiu and Shueng-Han Gary Chan, "Offering Data Confidentiality for Multimedia Overlay Multicast: Design and Analysis", to appear in ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), 2009.
• Xing Jin, Wai-Pun Ken Yiu and Shueng-Han Gary Chan, "Loss Recovery in Application-Layer Multicast", to appear in IEEE Multimedia.
• Wai-Pun Ken Yiu, Xing Jin and Shueng-Han Gary Chan, "VMesh: Distributed Segment Storage for Peer-to-Peer Interactive Video Streaming", IEEE Journal on Selected Areas in Communications (JSAC) special issue on Advances in Peer-to-Peer Streaming Systems, Vol. 25, No. 9, pp. 1717-31, December 2007.
• Xing Jin, Wai-Pun Ken Yiu, Shueng-Han Gary Chan and Yajun Wang, "On Maximizing Tree Bandwidth for Topology-Aware Peer-to-Peer Streaming", IEEE Transactions on Multimedia special issue on Content Storage and Delivery in Peer-to-Peer Network, Vol. 9, No. 8, pp. 1580-92, December 2007.
• Wai-Pun Ken Yiu, Xing Jin, and Shueng-Han Gary Chan, "Challenges and Approaches in Large-Scale Peer-to-Peer Media Streaming", IEEE Multimedia, Vol. 14, No. 2, pp. 50-59, April-June 2007.
• Xing Jin, Wai-Pun Ken Yiu, Shueng-Han Gary Chan and Yajun Wang, "Network Topology Inference Based on End-to-End Measurements", IEEE Journal on Selected Areas in Communications special issue on Sampling the Internet, Vol. 24, No. 12, pp. 2182-95, December 2006.
• Wai-Pun Ken Yiu, Kin-Fung Simon Wong, Shueng-Han Gary Chan, Wan-Ching William Wong, Qian Zhang, Wen-Wu Zhu and Ya-Qin Zhang, "Lateral Error Recovery for Media Streaming in Application-Level Multicast", IEEE Transactions on Multimedia special issue on Distributed Media Technologies and Applications, Vol. 8, No. 2, pp. 219-232, April 2006.

Conference Publications

• Xing Jin, Wai-Pun Ken Yiu and S.-H. Gary Chan, "Improving the Efficiency of End-to-End Network Topology Inference", in Proceedings of IEEE International Conference on Communications (ICC), Glasgow, UK, June 2007.
• Xing Jin, Shueng-Han Gary Chan, Wai-Pun Ken Yiu, Yongqiang Xiong, and Qian Zhang, "Detecting Malicious Hosts in the Presence of Lying Hosts in Peer-to-Peer Streaming", in Proceedings of IEEE International Conference on Multimedia Expo (ICME), Toronto, Canada, 9-12 July 2006, pp. 1537-40.
• Wai-Pun Ken Yiu, Xing Jin and Shueng-Han Gary Chan, "Distributed Storage to Support User Interactivity in Peer-to-Peer Video Streaming", in Proceedings of IEEE International Conference on Communications (ICC), Istanbul, Turkey, June 11-15, 2006.
• Xing Jin, Wai-Pun Ken Yiu, and Shueng-Han Gary Chan, "Supporting Multiple-keyword Search in a Hybrid Structured Peer-to-Peer Network", in Proceedings of IEEE International Conference on Communications (ICC), Istanbul, Turkey, June 11-15, 2006.
• Wai-Pun Ken Yiu, Kin-Fung Simon Wong and Shueng-Han Gary Chan, "Bridge-Node Selection and Loss Recovery in Island Multicast", in Proceedings of IEEE International Conference on Communications (ICC), Seoul, Korea, May 16-20, 2005, pp. 1304-8.
• Wai-Pun Ken Yiu and Shueng-Han Gary Chan, "SOT: Secure Overlay Tree for Application-Layer Multicast", in Proceedings of IEEE International Conference on Communications (ICC), Paris, France, June 20-24, 2004, pp. 1451-5.

Journal papers

• J. Zhang, J. Sun, X. Luo, K. Zhang, T. Nakamura and M. Small, Characterizing topology of pseudoperiodic time series via complex network approach. In press Physica D (2008).
• Kai Zhang, James T. Kwok. Density-Weighted Nystrom Method for Computing Large Kernel Eigen-Systems, accepted by Neural Computation.
• Kai Zhang, Ivor W. Tsang, James T. Kwok. Maximum Margin Clustering Made Practical, accepted by IEEE Transactions on Neural Networks.
• Kai Zhang, James T. Kwok. Simplifying Mixture Models Through Function Approximation, submitted to Journal of Machine Learning Research
• J. Zhang, M. Small and K. Zhang. "Chaos inducement and enhancement through weak periodic/quasiperiodic perturbations in discrete nonlinear systems." International Journal of Bifurcations and Chaos, 16 5 (2006): 1585-1598.

Conference papers

• Kai Zhang, Ivor W. Tsang, James T. Kwok. Improved Nystrom Low Rank Approximation and Error Analysis. Accepted in the 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland, June 2008
• Kai Zhang, Ivor W. Tsang, James T. Kwok. Maximum Margin Clustering Made Practical. In the 24th International Conference on Machine Learning (ICML 2007), Oregen, USA, June 2007.
• Kai Zhang, James T. Kwok. Simplifying Mixture Models Through Function Approximation. In the Neural Information Processing Systems (NIPS2006), Vancouver, Canada, December 2006.
• Kai Zhang, James T. Kwok. Block-Quantized Kernel Matrix for Fast Spectral Embedding. In the 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, USA, June 2006.
• Kai Zhang, James T. Kwok, M. Tang. Accelerated Convergence Using Dynamic Mean Shift. In the 9th European Conference on Computer Vision (ECCV 2006), Graz, Austria, May 2006.
• Ivor W. Tsang, James T. Kwok, Brian Mak, Kai Zhang, Jeffrey J. Pan. Fast Speaker Adaptation via Maximum Penalized Likelihood Kernel Regression. In the International Conference on Acoustics, Speech, and Signal Processing (ICASSP'06), Toulouse, France, May 2006.
• Kai Zhang, M. Tang, J.T. Kwok. Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation. In the International Conference on Computer Vision and Pattern Recognition (CVPR 2005), San Diego, CA, USA, June 2005.

• O. K.-C. Au, H. Fu, C.-L. Tai, and D. Cohen-Or. 2007. Handle-aware isolines forscalable shape editing. ACM Transactions on Graphics: special issue of ACM SIGGRAPH2007. 26(3): Article No. 83.
• K. Xu, Y. Jia, H. Fu, S. Hu, and C.-L. Tai. 2008. Spherical piecewise constant basisfunctions for all-frequency precomputed radiance transfer. IEEE Transactions on Visualization and Computer Graphics. 14(2): 454-467. (IEEE TVCG Featured Article)
• O. K.-C. Au, C.-L. Tai, L. Liu, and H. Fu. 2006. Dual Laplacian editing for meshes. IEEE Transactions on Visualization and Computer Graphics. 12(3): 386-395.
• C. Xiao, H. Fu, and C.-L. Tai. 2009. Hierarchical aggregation for efficient shape extraction. The Visual Computer. 25(3): 267-278.
• H. Fu, O. K.-C. Au, and C.-L. Tai. 2007. Effective derivation of similarity transformations for implicit Laplacian mesh editing. Computer Graphics Forum. 26(1): 34-45.
• H. Fu, Y. Wei, L. Quan, and C.-L. Tai. 2007. Sketching hairstyles. In EurographicsWorkshop on Sketch-Based Interfaces and Modeling 2007. pp. 31-36.
• X. Huang, H. Fu, O. K.-C. Au, and C.-L. Tai. 2007. Optimal boundaries for Poissonmesh merging. In ACM Solid and Physical Modeling Symposium 2007. pp. 35-40.
• H. Fu, C.-L. Tai, and O. K.-C. Au. 2005. Morphing with Laplacian coordinates and spatial-temporal texture. In Pacific Graphics 2005. pp. 100-102.
• O. K.-C. Au, C.-L. Tai, H. Fu, and L. Liu. 2005. Mesh editing with curvature flowLaplacian. In Symposium on Geometry Processing 2005, poster.
• H. Fu, C.-L. Tai, and H. Zhang. 2004. Topology-free cut-and-paste editing over meshes. In Geometric Modeling and Processing 2004. pp. 173-182.

Journal Papers

• Jeffrey J. Pan, Qiang Yang, Yiming Yang, Lei Li, Francis T. Li and George W. Li. Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases. IEEE Intelligent Systems. (Vol. 22, No. 1). Pages 46-51. January/February 2007.
• Jeffrey J. Pan, James T. Kwok, Qiang Yang, Yiqiang Chen. Multidimensional vector regression for accurate and low-cost location estimation in pervasive computing. IEEE Transactions on Knowledge and Data Engineering (TKDE). Sept. 2006.
• Jie Yin, Qiang Yang and Jeffrey J. Pan. Sensor-Based Abnormal Human-Activity Detection for Security Monitoring. Special Issue on Intelligence and Security Informatics, IEEE Transactions on Knowledge and Data Engineering (TKDE).
• Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey J. Pan, Kangheng Wu, Jie Yin and Qiang Yang. Query Enrichment for Web-query Classification. Transactions on Information Systems (TOIS), 2006.
• Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey J. Pan, Kangheng Wu, Jie Yin and Qiang Yang. Q2C@UST: Our Winning Solution to Query Classification in KDD Cup 2005. SIGKDD Explorations, 2005

Conferences

• Jeffrey J. Pan, Qiang Yang, Jialin Pan. Online Co-Localization in Indoor Wireless Networks by Dimension Reduction. In Proceedings of the 22nd National Conference on Artificial Intelligence (AAAI-07) July, 2007.
• Jialin Pan, James T. Kwok, Qiang Yang, Jeffrey J. Pan. Adaptive Localization in a Dynamic WiFi Environment Through Multi-view Learning. In Proceedings of the 22nd National Conference on Artificial Intelligence (AAAI-07) July, 2007.
• Rong Pan, Junhui Zhao, Wenchen Zheng, Jeffrey Junfeng Pan, Dou Shen, Jialin Pan, and Qiang Yang. Domain-Constrained Semi-Supervised Mining of Tracking Models in Sensor Networks. ACM SIGKDD. San Jose, USA. August 2007.
• Jeffrey J. Pan, Qiang Yang. Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian (in Wireless and Sensor Networks). In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07). Hyderabad, India. Jan, 2007.
• Jeffrey J. Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung. A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06)
• Jeffrey J. Pan, James T. Kwok, Qiang Yang, Yiqiang Chen. Accurate and low-cost location estimation using kernels. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-05), July 2005.
• Rong Pan, Qiang Yang, Jeffrey J. Pan, Lei Li. Competence-driven case-based mining. In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05).
• Ivor W. Tsang, James T. Kwok, Brian Mak, Kai Zhang, Jeffrey J. Pan. Fast speaker adaptation via maximum penalized likelihood kernel regression. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP-06), Toulouse, France, May 2006.

Workshop

• Jeffrey J. Pan, Sinno J. Pan, Vincent W. Zheng and Qiang Yang. Digital Wall: A Power-efficient Solution for Location-based Data Sharing. In Proceeding of PerCom-08 Workshop on Power-Aware Pervasive Devices (PerDev-08), Hong Kong. March 2008.

Honor and Award

• 2005 ACM KDD CUP Precision/Performance/Creativity Awards. Co-winner with Dou Shen, Jiantao Sun, Rong Pan, Kangheng Wu, Jie Yin and Qiang Yang.

Edited Conference Proceedings

• Ying Li, Dou Shen, Arun C. Surendran. The First International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD07). San Jose, California, USA. Aug. 12, 2007.

Journal papers

• Jie Yin, Qiang Yang, Dou Shen and Ze-Nian Li. Activity Recognition via User-Trace Segmentation. ACM Transactions on Sensor Networks (TOSN), accepted subject to minor revision, August 2007.
• Dou Shen, Qiang Yang, Zheng Chen. Noise Reduction through Summarization for Web-page Classification. Information Processing and Management (IPM). Volume 43, Issue 6, November 2007.
• Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey J. Pan, Kangheng Wu, Jie Yin and Qiang Yang. Query Enrichment for Web-query Classification. ACM Transactions on Information Systems (ACM TOIS). Pages 320-352. Volume 24, Issue 3, July 2006.
• Gui-Rong Xue, Yong Yu, Dou Shen, Qiang Yang, Hua-Jun Zeng, Zheng Chen. Reinforcing Web-object Categorization Through Interrelationships. Data Mining and Knowledge Discovery (DMKD), Pages 229-248. Volume 12, Number 2-3, May 2006.
• Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin and Qiang Yang. Q²C@UST: Our Winning Solution to Query Classification in KDD Cup 2005. SIGKDD Explorations. Page 100-110. Volume 7, Issue 2, December 2005.
• Jian-Tao Sun, Dou Shen, Yuchang Lu. Web Page Categorization Techniques. Tsinghua Academic Journal (Natural Science Version), Vol.44, No.1, pp.65-69, 2004.1.

Conference papers

• Dou Shen, Toby Walker, Zijian Zheng, Qiang Yang, Ying Li. Personal Name Classification in Web Queries. In Proceedings of the First ACM International Conference on Web Search and Data Mining (WSDM 08). Stanford, California, USA. February 11-12, 2008. (16% acceptance) (to appear)
• Dou Shen, Min Qin, Weizhu Chen, Qiang Yang, Zheng Chen. Mining Web Query Hierarchies from Clickthrough Data. In Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence (AAAI 07). Vancouver, British Columbia, Canada. July 22-26, 2007. (27% acceptance)
• Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang and Zheng Chen. Feature Selection in a Kernel Space. In Proceedings of The 24th Annual International Conference on Machine Learning (ICML 07). Oregon, USA. June 20-24, 2007. (29% acceptance)
• Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng Chen. Document Summarization using Conditional Random Fields. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI 07). Hyderabad, India. January 6-12, 2007. (19% acceptance)
• Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qiang Yang, Zheng Chen. Latent Factor Detection and Tracking with Online Nonnegative Matrix Factorization. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI 07). Hyderabad, India. January 6-12, 2007. (15.7% acceptance)
• Rong Pan, Junhui Zhao, Wenchen Zheng, Jeffrey Junfeng Pan, Dou Shen, Jialin Pan, and Qiang Yang. Domain-Constrained Semi-Supervised Mining of Tracking Models in Sensor Networks. In Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2007), Industry Track. San Jose, California, USA, Aug 12-15, 2007.
• Jinlong Wang, Congfu Xu, Dou Shen, and Guojing Luo. Understanding Topic Influence Based on Module Network. In Proceedings of the 10th International Conference on Asian Digital Libraries (ICADL 2007). Hanoi, Vietnam, Dec 10-13, 2007.
• Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. Latent Friend Mining from Blog Data. In Proceedings of the IEEE 6th International Conference on Data Mining (ICDM 06). Hong Kong, China. December 18-22, 2006. (10% acceptance)
• Hua Li, Dou Shen, Benyu Zhang, Zheng Chen, Qiang Yang. Adding Semantics to Email Clusterings. In Proceedings of the IEEE 6th International Conference on Data Mining (ICDM 06). Short paper. Hong Kong, China. December 18-22, 2006.
• Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. Text Classification Improved through Multigram Models. In Proceedings of the ACM Fifteenth Conference on Information and Knowledge Management (CIKM 06). Arlington, USA. November 6-11, 2006. (15% acceptance)
• Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. Building Bridges for Web Query Classification. In Proceedings of the 29th ACM International Conference on Research and Development in Information Retrieval (SIGIR 06). Seattle, USA, August 6-11, 2006. (19% acceptance) #This paper was awarded with the Best Graduate Research Paper from the 2007 IEEE (Hong Kong) CI Chapter Graduate Research Paper Competition.
• Dou Shen, Qiang Yang, Jian-Tao Sun, Zheng Chen. Thread Detection in Dynamic Text Message Streams. In Proceedings of the 29th ACM International Conference on Research and Development in Information Retrieval (SIGIR 06). Seattle, USA, August 6-11, 2006. (19% acceptance)
• Dou Shen, Jian-Tao Sun, Qiang Yang, Hui Zhao, Zheng Chen. Text Classification Improved through Automatically Extracted Sequences. Proceedings of the 22nd International Conference on Data Engineering (ICDE 06). Poster. Atlanta, Georgia, April 2006. (19.5% acceptance)
• Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. A Comparison of Implicit and Explicit Links for Web Page Classification. In Proceedings of the World Wide Web Conference 2006 (WWW 06). (11% acceptance)
• Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng, Zheng Chen. CWS: A Comparative Web Search System. In Proceedings of the World Wide Web Conference 2006 (WWW 06). (11% acceptance)
• Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng, Zheng Chen. Mining Clickthrough Data for Collaborative Web Search. In Proceedings of the World Wide Web Conference 2006 (WWW 06). Poster.
• Jie Yin, Dou Shen, Qiang Yang and Ze-Nian Li. Activity Recognition through Goal-Based Segmentation. In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI 05), Pittsburgh, Pennsylvania, USA, July 2005. (28.4% acceptance)
• Jian-Tao Sun, Dou Shen, Hua-Jun Zeng, Qiang Yang, Yuchang Lu and Zheng Chen. Web-Page Summarization Using Click-Through Data. In Proceedings of the 28th ACM International Conference on Research and Development in Information Retrieval (SIGIR 05). Salvador, Brazil. August 15-19, 2005. (20% acceptance)

Prizes

• Winner: 2007 IEEE (HK) Computational Intelligence Chapter PG Student Research Paper Competition.

Journals

• Ping Tan, Stephen Lin, Long Quan. Sub-pixel Photometric Stereo. To appear, IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI).
• Ping Tan, Stephen Lin, Long Quan, Baining Guo, Heung-Yeung Shum. Filtering and Rendering of Resolution Dependent Reflectance Models. To appear, IEEE Transaction on Visualization and Computer Graphics (TVCG).
• Ping Tan, Gang Zeng, Jingdong Wang, Sing Bing Kang, Long Quan. Image-based Tree Modeling. ACM Transaction on Graphics (TOG) and Proc. of SIGGRAPH 2007. Vol. 26, Issue 3.
• Long Quan, Ping Tan, Gang Zeng, Lu Yuan, Jingdong Wang, Sing Bing Kang. Image-based Plant Modeling. ACM Transaction on Graphics (TOG) and Proc. of SIGGRAPH 2006. Vol. 25, Issue 3, pp.599-604.
• Long Quan, Jingdong Wang, Ping Tan, Lu Yuan. Image-based Modeling by Joint Segmentation. International Journal of Computer Vision (IJCV), Vol. 75, No. 1, pp.135-150, 2007.

Conferences

• Jianxiong Xiao, Jingdong Wang, Ping Tan, Long Quan. Joint Affinity Propagation for Multi-View Segmentation. IEEE International Conference on Computer Vision (ICCV), (oral presentation, ~ 5% acceptance rate), Rio de Janeiro, Brazil, Oct. 2007.
• Ping Tan, Satya P. Mallick, Long Quan, David Kriegman, Todd Zickler. Isotropy, Reciprocity and the Generalized Bas-Relief Ambiguity. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (oral presentation, ~ 5% acceptance rate), Minnesota, US, Jun. 2007.
• Ping Tan, Stephen Lin, Long Quan. Separation of Highlight Reflections from Textured Surfaces. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York, US, Jun. 2006.
• Ping Tan, Stephen Lin, Long Quan. Resolution-Enhanced Photometric Stereo. European Conference on Computer Vision (ECCV), (oral presentation, ~ 5% acceptance rate), Graz, Austria, May 2006.
• Ping Tan, Stephen Lin, Long Quan, Baining Guo, Heung-Yeung Shum. Multiresolution Reflectance Filtering. Eurographics Symposium on Rendering (EGSR), Konstanz, Germany, Jul. 2005.
• Ping Tan, Stephen Lin, Long Quan, Heung-Yeung Shum.Highlight Removal by Illumination-constrained Inpainting. IEEE International Conference on Computer Vision (ICCV), Nice, France, Oct. 2003.

Journal Papers

• Ivor W. Tsang, Andras Kocsor, James T. Kwok. Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines. IEEE Transactions on Neural Networks, 19(4): 610-624, April 2008.
• Jooyoung Park, Daesung Kang, Jongho Kim, James T. Kwok, Ivor W. Tsang. SVDD-Based Pattern De-Noising. Neural Computation, 19(7): 1919-1938, July 2007.
• James T. Kwok, Ivor W. Tsang, Jacek M. Zurada. A Class of Single-Class Minimax Probability Machines for Novelty Detection. IEEE Transactions on Neural Networks, 18(3): 778-785, May 2007.
• Ivor W. Tsang, James T. Kwok, Jacek M. Zurada. Generalized core vector machines. IEEE Transactions on Neural Networks, 17(5): 1126- 1140, Sept 2006.
• Ivor W. Tsang, James T. Kwok. Efficient hyperkernel learning using second-order cone programming. IEEE Transactions on Neural Networks, 17(1):48- 58, Jan 2006.
• Ivor W. Tsang, James T. Kwok, Pak-Ming Cheung. Core vector machines: Fast SVM training on very large data sets. Journal of Machine Learning Research, 6:363-392, 2005.
• James T. Kwok, Ivor W. Tsang. The pre-image problem in kernel methods. IEEE Transactions on Neural Networks, 15(6):1517-1525, Nov 2004.
• #This paper was awarded with the IEEE Transactions on Neural Networks Outstanding 2004 Paper Award
• Shutao Li, James T. Kwok, Ivor W. Tsang, Yaonan Wang. Fusing images with different focuses using support vector machines. IEEE Transactions on Neural Networks, 15(6):1555-1561, Nov 2004.
• James T. Kwok, Ivor W. Tsang. Linear dependency between epsilon and the input noise in epsilon-support vector regression. IEEE Transactions on Neural Networks,14( 3):544-553, May 2003.
• Conference Papers:
• Kai Zhang, Ivor W. Tsang, James T. Kwok. Improved Nystrom low rank approximation and error analysis. Proceedings of the Twenty-Fifth International Conference on Machine Learning (ICML), pp.1232-1239, Helsinki, Finland. July 2008.
• Ivor W. Tsang, Andras Kocsor, James T. Kwok. Simpler core vector machines with enclosing balls. Proceedings of the Twenty-Fourth International Conference on Machine Learning (ICML), pp.911-918, Corvallis, Oregon, USA, June 2007.
• Kai Zhang, Ivor W. Tsang, James T. Kwok. Maximum margin clustering made practical. Proceedings of the Twenty-Fourth International Conference on Machine Learning (ICML), pp.1119-1126, Corvallis, Oregon, USA, June 2007.
• Ivor W. Tsang, James T. Kwok. Ensembles of Partially Trained SVMs with Multiplicative Updates. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pp.1089-1094, Hyderabad, India, January 2007.
• Ivor W. Tsang, James T. Kwok. Large-scale sparsified manifold regularization. Proceedings of the Neural Information Processing Systems (NIPS), Vancouver, Canada, December 2006.
• Ivor W. Tsang, Andras Kocsor, James T. Kwok. Diversified SVM ensembles for large data sets. Proceedings of the European Conference on Machine Learning (ECML 2006), pp.792-800, Berlin, Germany, September 2006.
• Ivor W. Tsang, Andras Kocsor, James T. Kwok. Efficient kernel feature extraction for massive data sets. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06), pp.724-729, Philadelphia, USA, August 2006.
• Ivor W. Tsang, James T. Kwok, Shutao Li. Learning the kernel in Mahalanobis one-class support vector machines. Proceedings of the International Joint Conference on Neural Networks (IJCNN'06), pp.1169- 1175, Vancouver, Canada, July 2006.
• Ivor W. Tsang, James T. Kwok, Brian Mak, Kai Zhang, Jeffrey J. Pan. Fast speaker adaption via maximum penalized likelihood kernel regression. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP'06), Toulouse, France, May 2006.
• #This paper was awarded with the Best Paper Award from the IEEE Hong Kong Chapter of Signal Processing Postgraduate Forum 2006
• Ivor W. Tsang, James T. Kwok. Very Large Scale Manifold Regularization using Core Vector Machines. Workshop on Large Scale Kernel Machines at Neural Information Processing Systems (NIPS 2005), Whistler, Canada, December 2005.
• K.-F. Simon Wong, Ivor W. Tsang, Victor Cheung, S.-H. Gary Chan and James T. Kwok. Position Estimation for Wireless Sensor Networks. Proceedings of the IEEE Global Telecommunications Conference, (GLOBECOM 2005). St. Louis, USA, November, 2005.
• Ivor W. Tsang, James T. Kwok, Kimo T. Lai. Core Vector Regression for Very Large Regression Problems. Proceedings of the Twentieth-Second International Conference on Machine Learning (ICML-2005), pp.913-920, Bonn, Germany, August 2005.
• Ivor W. Tsang, Pak-Ming Cheung, James T. Kwok. Kernel relevant component analysis for distance metric learning. Proceedings of the International Joint Conference on Neural Networks (IJCNN'05), pp.954-959, Montreal, Canada, July 2005.
• Jooyoung Park, Daesung Kang, Jongho Kim, James T. Kwok, Ivor W. Tsang. Pattern de-noising based on support vector data description. Proceedings of the International Joint Conference on Neural Networks (IJCNN'05), pp.949-953, Montreal, Canada, July 2005.
• Ivor W. Tsang, James T. Kwok, Pak-Ming Cheung. Very large SVM training using core vector machines. Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS 2005), Barbados, January 2005.
• Ivor W. Tsang, James T. Kwok. Efficient hyperkernel learning using second-order cone programming. Proceedings of the European Conference on Machine Learning (ECML 2004), pp.453-464, Pisa, Italy, September 2004.
• Calvin S. Chu, Ivor W. Tsang, James T. Kwok. Scaling up support vector data description by using core-sets. Proceedings of the International Joint Conference on Neural Networks (IJCNN 2004), pp.425-430, Budapest, Hungary, July 2004.
• James T. Kwok, Ivor W. Tsang. The pre-image problem in kernel methods. Proceedings of the International Conference on Machine Learning (ICML 2003), pp.408-415, Washington, D.C., USA, August 2003.
• James T. Kwok, Ivor W. Tsang. Learning with idealized kernels. Proceedings of the International Conference on Machine Learning (ICML 2003), pp.400-407, Washington, D.C., USA, August 2003.
• Ivor W. Tsang, James T. Kwok. Distance metric learning with kernels. Proceedings of the International Conference on Artificial Neural Networks (ICANN 2003), pp.126-129, Istanbul, Turkey, June 2003.
• James T. Kwok, Ivor W. Tsang. Finding the pre-images in kernel principal component analysis. 6th Annual Workshop On Kernel Machines, NIPS 2002, Whistler, Canada, December 2002.

• Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky: A New Solution Path Algorithm in Support Vector Regression. To appear in IEEE Transactions on Neural Networks.
• Fei Wang, Tao Li, Gang Wang, Changshui Zhang. Semi-supervised Classification Using Local and Global Regularization. AAAI 2007, 726-731, Chicago, Illinois, USA. 2008.
• Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky: A Kernel Path Algorithm for Support Vector Machines. ICML 2007, Corvallis, OR, U.S.A.
• Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky: The Kernel Path in Kernelized LASSO. AISTATS 2007, 576-583, San Juan, Puerto Rico.
• Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky: The Regularization Path for Nonlinear LASSO Regression. Learning (Snowbird) Workshop 2007, San Juan, Puerto Rico.
• Gang Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky: Solution Path for Semi-Supervised Classification with Manifold Regularization. ICDM 2006, 1124-1129, Hong Kong, China.
• Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky: Two-Dimensional Solution Path for Support Vector Regression. ICML 2006, 993-1000, Pittsburge, PA, U.S.A.
• Gang Wang, Hui Zhao, Zhihua Zhang, Frederick H. Lochovsky: A Bernoulli Relational Model for Nonlinear Embedding. ICDM 2005, 458-465, Houston, U.S.A.
• Gang Wang, Weifeng Su, Xiangye Xiao, Frederick H. Lochovsky: Latent Process Model for Manifold Learning. ICTAI 2005, 382-386, Hong Kong, China.
• Gang Wang, Zhihua Zhang, Frederick H. Lochovsky: Annealed Discriminant Analysis. ECML 2005, 449-460, Porto, Portugal.
• Gang Wang, Frederick H. Lochovsky, Qiang Yang: Feature Selection with Conditional Mutual Information MaxiMin in Text Categorization. CIKM 2004, 342-349, Washington D.C., U.S.A.

• Papadias, D., Tao, Y., Mouratidis, K., Hui, K. Aggregate Nearest Neighbor Queries in Spatial Databases. ACM Transactions on Database Systems (TODS), 30(2), 529-576, 2005.
• Mouratidis, K., Papadias, D., Bakiras, S., Tao, Y. A Threshold-based Algorithm for Continuous Monitoring of k Nearest Neighbors. IEEE Transactions on Knowledge and Data Engineering (TKDE), 17(11), 1451-1464, 2005.
• Zhang, J., Papadias, D., Mouratidis, K., Zhu, M. Query Processing in Spatial Databases Containing Obstacles. International Journal of Geographic Information Science (IJGIS), 19(10), 1091-1111, 2005.
• Mouratidis, K., Yiu, M., Papadias, D., Mamoulis, N. Continuous Nearest Neighbor Monitoring in Road Networks. Proceedings of the Very Large Data Bases Conference (VLDB), pp.43-54, 2006.
• Mouratidis, K., Bakiras, S., Papadias, D. Continuous Monitoring of Top-k Queries over Sliding Windows. Proceedings of the ACM Conference on Management of Data (SIGMOD), pp.635-646, 2006.
• Mouratidis, K., Hadjieleftheriou, M., Papadias, D. Conceptual Partitioning: An Efficient Method for Continuous Nearest Neighbor Monitoring. Proceedings of the ACM Conference on Management of Data (SIGMOD), pp.634-645, 2005.
• Mouratidis, K., Papadias, D., Papadimitriou, S. Medoid Queries in Large Spatial Databases. Proceedings of the International Symposium on Spatial and Temporal Databases (SSTD), pp.55-72, Spinger Verlag, LNCS, 2005.
• Terrovitis, M., Bakiras, S., Papadias, D., Mouratidis, K. Constrained Shortest Path Computation. Proceedings of the International Symposium on Spatial and Temporal Databases (SSTD), pp.181-199, Spinger Verlag, LNCS, 2005.
• Papadias, D., Shen, Q., Tao, Y., Mouratidis, K. Group Nearest Neighbor Queries. Proceedings of the IEEE International Conference on Data Engineering (ICDE), pp.301-312, 2004.
• Zhang, J., Papadias, D., Mouratidis, K., Zhu, M. Spatial Queries in the Presence of Obstacles. Proceedings of the International Conference on Extending Database Technology (EDBT), pp.366-384, 2004.

Journal Papers

• D. Shen, R. Pan, J. Sun, J.J. Pan, K. Wu, J. Yin and Q. Yang. Query Enrichment for Web-Query Classification. ACM Transactions on Information Systems (TOIS), volume 24, number 3, pages 1-33, 2006.
• Y. Chen, Q. Yang, J. Yin and X. Chai. Power-Efficient Access-Point Selection for Indoor Location Estimation. IEEE Transactions on Knowledge and Data Engineering (TKDE), volume 18, number 7, pages 877-888, January 2006.
• D. Shen, R. Pan, J. Sun, J.J. Pan, K. Wu, J. Yin and Q.Yang. Q²C@UST: our winning solution to query classification in KDDCUP 2005. SIGKDD Explorations, volume 7, number 2, pages 100-110, 2005.

Conference Papers

• J. Yin and Q. Yang. Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering. In Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM 05), Pages 506-513, Houston, Texas, USA, November 2005.
• J. Yin, D. Shen, Q. Yang and Z.-N. Li. Activity Recognition through Goal-Based Segmentation, In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI 05), Pages 28-33, Pittsburgh, Pennsylvania, USA, July 2005.
• J. Yin, Q. Yang and L.M. Ni. Adaptive Temporal Radio Maps for Indoor Location Estimation. In Proceedings of the Third Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 05), Pages 85-94, Kauai Island, Hawaii, March 2005.
• J. Yin, X. Chai and Q. Yang. High-level Goal Recognition in a Wireless LAN. In Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI 04), pages 578-584, San Jose, CA USA, July 2004.
• Q. Yang, Y. Chen, J. Yin and X. Chai. LEAPS: A Location Estimation and Action Prediction System in a Wireless LAN Environment. In Proceedings of IFIP International Conference on Network and Parallel Computing Workshop on Building Intelligent Sensor Networks (BISON 04), pages 584-591, Wuhan, China, October 2004.
• Q. Yang, J. Yin, C.X. Ling and T. Chen. Post-processing Decision Trees to Extract Actionable Knowledge. In Proceedings of the Third IEEE International Conference on Data Mining (ICDM 03), Pages 685-688, Florida, USA, November 2003.

1. Infix-free Regular Expressions and Languages,
   Yo-Sub Han, Yajun Wang and Derick Wood
   In International Journal of Foundations of Computer Science (IJFCS) Vol. 17, No.2, 379--393, 2006
2. The Generalization of Generalized Automata: Expression Automata,
   Yo-Sub Han and Derick Wood
   In International Journal of Foundations of Computer Science (IJFCS) Vol. 16, No. 3, 499--510, 2005
3. Outfix-free Regular Languages and Prime Outfix-free Decomposition,
   Yo-Sub Han and Derick Wood
   In Proceedings of the Second International Colloquium on Theoretical Aspects of Computing (ICTAC'05), LNCS 3722, 96--109, 2005
4. When Western Devil and Chinese Knight Play Go,
   Yo-Sub Han and Gerhard Trippen
   in Proceedings of the 16th Australasian Workshop on Combinatorial Algorithms (AWOCA'05), 399--408, 2005
5. A New Linearizing Restriction in the Pattern Matching Problem,
   Yo-Sub Han and Derick Wood
   in Proceedings of the 15th International Symposium on Fundamentals of Computation Theory (FCT'05), LNCS 3623, 552--562, 2005
6. Shorter Regular Expressions from Finite-state Automata,
   Yo-Sub Han and Derick Wood
   in Proceedings of the 10th International Conference on Implementation and Application of Automata (CIAA'05), LNCS 3845, 141--152, 2005
7. Simple-Regular Expressions and Languages,
   Yo-Sub Han, Gerhard Trippen and Derick Wood
   in Proceedings of the 7th International Workshop on Descriptional Complexity of Formal Systems (DCFS'05), 146--157, 2005
8. Prefix-Free Regular-Expression Matching,
   Yo-Sub Han, Yajun Wang and Derick Wood
   in Proceedings of the 16th Annual Symposium on Combinatorial Pattern Matching (CPM'05), LNCS 3537, 298--309, 2005
9. The Generalization of Generalized Automata: Expression Automata,
   Yo-Sub Han and Derick Wood
   in Proceedings of the 9th International Conference on Implementation and Application of Automata (CIAA'04), LNCS 3317, 156--166, 2004
10. Multi-Source Broadcasting and Multicasting in Wireless Ad Hoc Networks, (extended abstract)
    Yo-Sub Han, Sheung-Hung Poon and Yajun Wang
    Presented at Japan Conference on Discrete and Computational Geometry (JCDCG'04), 2004
11. Approximating the Minimum-Diameter Spanning Tree with Bounded Degree, (extended abstract)
    Hee-Kap Ahn, Yo-Sub Han and Chan-Su Shin
    Presented at Japan Conference on Discrete and Computational Geometry (JCDCG'04), 2004

Journal Papers

1. Fan Zhang and S. T. Chanson. "Blocking-Aware Processor Voltage Scheduling for Real-Time Tasks", ACM Transactions on Embedded Computing Systems, pages 307-335, May 2004.
2. Fan Zhang and S. T. Chanson. "Improving Communication Energy Efficiency in Wireless Networks", To appear to IEEE Transactions on Vehicular Technology, November 2005.

Conference Papers

1. M. Tao, Y.C. Liang, and Fan Zhang, "Adaptive Resource Allocation for Delay Differentiated Traffics in Multiuser OFDM Systems", Accepted to ICC 2006.
2. Fan Zhang and S. T. Chanson, "Proxy-Assisted Scheduling for Energy-Efficient Multimedia Streaming over Wireless LAN", In Proceedings of IFIP Networking'05, pages 980-991. Also in Springer-Verlag LNCS 3462. (Acceptance Ratio: 24.7%)
3. Fan Zhang and S. T. Chanson, "Power-Aware Processor Scheduling under Average Delay Constraints", In Proceedings of the 11th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'05), pages 202-212, March 2005.
4. Fan Zhang and S. T. Chanson, "Value and Throughput Maximization in Wireless Packet Scheduling under Energy and Time Constraints". In Proceedings of the 24th IEEE International Real-Time Systems Symposium (RTSS'03), pages 324-334, Cancun, Mexico. Dec. 2003. (Acceptance Ratio: 16.5%)
5. Fan Zhang and S. T. Chanson, "Rate-Controlled Scheduling for Networked Multimedia Applications", In Proceedings of the 22nd IEEE International Performance, Computing, and Communications Conference (IPCCC 2003), pages 395-403, Phoenix, Arizona. USA, Apr. 2003
6. Fan Zhang and S. T. Chanson, "Processor Voltage Scheduling for Real-Time Tasks with Non-Preemptable Sections", In Proceedings of the 23rd IEEE International Real-Time Systems Symposium (RTSS'02), pages 235-245, Austin, Texas. USA, Dec. 2002. (Acceptance Ratio: 25%)
7. X. Tang, Fan Zhang and S. T. Chanson, "Streaming Media Caching Algorithms for Transcoding Proxies", International Conference on Parallel Processing (ICPP), Vancouver, Canada, Aug. 2002.

• H. Lu, J. X. Yu, G. Wang, S. Zheng, H. Jiang, G. Yu and A. Zhou, What Makes the Differences: Benchmarking XML Database Implementations, ACM Transactions on Internet Technology (ACM TOIT), 5(1): 154~194 (2005).
• W. Wang, H. Wang, H. Lu, H. Jiang, X. Lin and J. Li, Efficient Processing of XML Path Queries Using the Disk-based F&B Index, The 31st International Conference on Very Large Databases, VLDB 2005: 145~156.
• Haifeng Jiang, Hongjun Lu, Wei Wang: Efficient Processing of Twig Queries with OR-Predicates. SIGMOD Conference 2004: 59-70.
• Wei Wang, Haifeng Jiang, Hongjun Lu, Jeffrey Xu Yu: Bloom Histogram: Path Selectivity Estimation for XML Data with Updates. VLDB 2004: 240-251.
• Haifeng Jiang, Hongjun Lu, Wei Wang, Beng Chin Ooi: XR-Tree: Indexing XML Data for Efficient Structural Joins. ICDE 2003: 253-263.
• Wei Wang, Haifeng Jiang, Hongjun Lu, Jeffrey Xu Yu: PBiTree Coding and Efficient Processing of Containment Joins. ICDE 2003: 391-402.
• Hongjun Lu, Jeffrey Xu Yu, Guoren Wang, Shihui Zheng, Haifeng Jiang, Ge Yu, Aoying Zhou: What Makes the Differences: Benchmarking XML Database Implementations. ICDE 2003: 720-722.
• Wei Wang, Haifeng Jiang, Hongjun Lu, Jeffrey Xu Yu: Containment Join Size Estimation: Models and Methods. SIGMOD Conference 2003: 145-156.
• Haifeng Jiang, Wei Wang, Hongjun Lu, Jeffrey Xu Yu: Holistic Twig Joins on Indexed XML Documents. VLDB 2003: 273-284.
• Haifeng Jiang, Hongjun Lu, Wei Wang, Jeffrey Xu Yu: Path Materialization Revisited: An Efficient Storage Model for XML Data. Australasian Database Conference 2002.
• Haifeng Jiang, Hongjun Lu, Wei Wang, Jeffrey Xu Yu: XParent: An Efficient RDBMS-Based XML Database System. ICDE 2002: 335-336.
• Shitong Wang, Haifeng Jiang, Hongjun Lu: A New Integrated Clustering Algorithm GFC and Switching Regressions. IJPRAI 16(4): 433-446 (2002).
• Haifeng Jiang, Wenwu Lou, Wei Wang: Three-Tier Clustering: An Online Citation Clustering System. WAIM 2001: 237-248.

• Wei Wang, Haifeng Jiang, Hongjun Lu, Jeffrey Xu Yu. Bloom Histogram: Path Selectivity Estimation for XML Data with Updates. The 30th International Conference on Very Large Data Bases (VLDB 2004), Toronto, Canada, August 30 - September 3, 2004. Pages 240 - 251. (20%/16% accepted)
• Alfredo Cuzzocrea, Wei Wang, Ugo Matrangolo. Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees. The 6th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2004), Zaragoza, Spain, September 1 - 3, 2004. Pages 97 - 107.
• Haifeng Jiang, Hongjun Lu, Wei Wang. Efficient Processing of XML Twig Queries with OR-Predicates. The 2004 ACM SIGMOD International Conference on Management of Data (SIGMOD 2004), Paris, France, June 13 - 18, 2004. Pages 59-70. (16% accepted)
• Guimei Liu, Hongjun Lu, Jeffrey Xu Yu, Wei Wang, Xiangye Xiao. AFOPT: An Efficient Implementation of Pattern Growth Approach. Workshop on Frequent Itemset Mining Implementations (FIMI 2003), Melbourne, Florida, USA, November 19, 2003. Pages ?-?.
• Haifeng Jiang, Wei Wang, Hongjun Lu, Jeffrey Xu Yu. Holistic Twig Joins on Indexed XML Documents. The 29th International Conference on Very Large Data Bases (VLDB 2003), Berlin, Germany, September 9 - 12, 2003. Pages 273-284. (15% accepted)
• Wei Wang, Haifeng Jiang, Hongjun Lu, Jeffrey Xu Yu. Containment Join Size Estimation: Models and Methods. The 2003 ACM SIGMOD International Conference on Management of Data (SIGMOD 2003), San Diego, California, June 9 - June 12, 2003. Pages 145-156. (15% accepted)
• Wei Wang, Haifeng Jiang, Hongjun Lu, Jeffrey Xu Yu. PBiTree Coding and Efficient Processing of Containment Joins. The 19th International Conference on Data Engineering (ICDE 2003), Bangalore, India, March 5 - March 8, 2003. Pages 391-402. (13% accepted)
• Haifeng Jiang, Hongjun Lu, Wei Wang, Beng Chin Ooi. XR-Tree: Indexing XML Data for Efficient Structural Joins. The 19th International Conference on Data Engineering (ICDE 2003), Bangalore, India, March 5 - March 8, 2003. Pages 253-264. (13% accepted)
• Wei Wang, Jianlin Feng, Hongjun Lu, Jeffrey Xu Yu. Condensed Cube: An Effective Approach to Reducing Data Cube Size. The 18th International Conference on Data Engineering (ICDE 2002), San Jose, California, February 26 - March 1, 2002. Pages 155-165. (19% accepted)
• Haifeng Jiang, Hongjun Lu, Wei Wang, Jeffrey Xu Yu. XParent: An Efficient RDBMS-Based XML Database System. The 18th International Conference on Data Engineering (ICDE 2002), San Jose, California, February 26 - March 1, 2002. Pages 335-336.
• Haifeng Jiang, Hongjun Lu, Wei Wang, Jeffrey Xu Yu. Path Materialization Revisited: An Efficient Storage Model for XML Data. The 13th Australasian Database Conference (ADC 2002), Melbourne, Australia, January 28 - February 1, 2002. Pages 85-94.

• Tao, Y., Papadias, D., Zhang, J. Cost Models for Overlapping and Multi-Version Structures. ACM Transactions on Database Systems (TODS), 27(3): 299-342, 2002.
• Papadias, D., Tao, Y., Zhang, J., Mamoulis, N., Shen, Q., Sun J. Indexing and Retrieval of Historical Aggregate Information about Moving Objects. (Invited paper) IEEE Data Engineering Bulletin 25(2) pp.10-17, 2002.
• Zhang, J., Mamoulis, N., Papadias, D., Tao, Y. All-Nearest-Neighbors Queries in Spatial Databases. IEEE Conference on Scientific and Statistical Database Management (SSDBM), 2004. [presentation]
• Zhang, J., Papadias, D., Mouratidis, K., Zhu, M. Spatial Queries in the Presence of Obstacles. International Conference on Extending Database Technology (EDBT), 2004.
• Papadias, D., Zhang, J., Mamoulis, N., Tao, Y. Query Processing in Spatial Network Databases. Very Large Data Bases Conference (VLDB), 2003.
• Zhang, J., Zhu, M., Papadias, D., Tao, Y., Lee, D. Location-Based Spatial Queries. ACM Conference on Management of Data (SIGMOD), 2003.
• Tao, Y., Papadias, D., Zhang, J. Aggregate Processing of Planar Points. International Conference on Extending Database Technology (EDBT), 2002.
• Tao, Y., Papadias, D., Zhang, J. Cost Models for Overlapping and Multi-Version Structures. IEEE International Conference on Data Engineering (ICDE), 2002.
• Papadias, D., Tao, Y., Kalnis, P., Zhang, J. Indexing Spatio-Temporal Data Warehouses. IEEE International Conference on Data Engineering (ICDE), 2002.
• Papadias, D., Kalnis, P., Zhang, J., Tao, Y. Efficient OLAP Operations in Spatial Data Warehouses. International Symposium on Spatial and Temporal Databases (SSTD), 2001.

Tutorial/Survey Articles in Journals/Magazines

• J. Liu, B. Li, and Y.-Q. Zhang, Adaptive Video Multicast over the Internet, IEEE Multimedia, Vol. 10, No. 1, pp.22-31, January/February 2003.
• B. Li and J. Liu, Multirate Video Multicast over the Internet: An Overview, IEEE Network, Special Issue on Multicasting: An Enabling Technology, Vol. 17, No. 1, pp.24-29, January 2003.

Journal Papers

• J. Liu, X. Zhang, B. Li, Q. Zhang, and W. Zhu, Distributed Distance Estimation for Large-Scale Networks, Computer Networks, Vol. 41, No. 2, pp. 177-193, February 2003.
• J. Liu, Q. Zhang, B. Li, W. Zhu, and J. Zhang, A Unified Framework for Resource Discovery and QoS-Aware Provider Selection in Ad Hoc Networks, ACM Mobile Computing and Communications Review, Vol. 6, No. 1, pp.13-21, January 2002.

Conference Papers

• J. Liu, B. Li, Y.-T. Hou, and I. Chlamtac, Dynamic Layering for Multi-Session Video Broadcasting with General Utility Functions, IEEE INFOCOM'03, San Francisco, USA, March 2003.
• J. Liu and B. Li, Optimal Stream Replication for Video Simulcasting, IEEE ICNP'02, pp.190-191, Paris, November 2002 (Short Paper).
• J. Liu, B. Li, and Y.-Q. Zhang, A Hybrid Adaptation Protocol for TCP-friendly Layered Multicast and Its Optimal Rate Allocation, IEEE INFOCOM'02, pp.1520-1529, New York City, USA, June 2002.

Book Chapters

• P. Wu, J. Xu, F. Chen, J. Liu, J. Zhang, B. Li, On the Use of Sender Adaptation to Improve Stability and Fairness for Layered Video Multicast, Springer Lecture Notes in Computer Science (LNCS), Vol. 2601. (ISBN 3-540-00604-4) 2003, pp.347-357.
• J. Liu, K. Sohraby, Q. Zhang, B. Li, and W. Zhu, Resource Discovery in Mobile Ad Hoc Networks, in Handbook on Ad Hoc Wireless Networks, Edited by M. Ilyas, CRC Press, 2002.

• Baihua Zheng, Jianliang Xu, and Dik Lun Lee: Cache Invalidation and Replacement Strategies for Location-Dependent Data in Mobile Environments. IEEE Trans. on Computers, Special Issue on Database Management and Mobile Computing, 51(10): 1141-1153, October 2002.
• Dik Lun Lee, Wang-chien Lee, Jianliang Xu, and Baihua Zheng: Data Management in Location-dependent Information Services: Challenges and Issues, IEEE Pervasive Computing, 1(3): 65-72, July-September 2002.
• Baihua Zheng, Wang-chien Lee, and Dik Lun Lee: Spatial Index On Air. Proc. the 1st IEEE International Conference on Pervasive Computing and Communications (PerCom'03). Dallas-Fort Worth, Texas, March 23-26, 2003: 297-304.
• Baihua Zheng, Wang-chien Lee, and Dik Lun Lee: Selecting the Best Valid Scopes for Wireless Dissemination of Location-dependent Data. Proc. the 18th ACM Symposium on Applied Computing (SAC'03), Melbourne, Florida, USA, March 2003: 860-865.
• Jianliang Xu, Baihua Zheng, Wang-chien Lee, and Dik Lun Lee: Energy Efficient Index for Querying Location-Dependent Data in Mobile Broadcast Environments. Proc. the 19th IEEE Int. Conf. on Data Engineering (ICDE'03), Bangalore, India, March 2003: 239-250.
• Baihua Zheng, Wang-chien Lee, Dik Lun Lee: Search K-Nearest Neighbors On Air. Proc. the 4th International Conference on Mobile Data Management (MDM'03), Melbourne, Australia, January 2003: 181-195.
• Baihua Zheng and Dik Lun Lee: Semantic Caching in Location-Dependent Query Processing. Proc. the 7th International Symposium on Spatial and Temporal Databases (SSTD'01), LA, California, July 12-15, 2001: 97-116.
• Baihua Zheng and Dik Lun Lee: Processing Location-dependent Queries In a Multi-cell Wireless Environment. Proc. the 2nd ACM International Workshop on Data Engineering for Wireless and Mobile Access (MobiDE'01), Santa Barbara, CA, USA, May 2001: 54-65.
• Jianliang Xu, Baihua Zheng, Manli Zhu, and Dik Lun Lee: Research Challenges in Information Access and Dissemination in a Mobile Environment. Proc. Pan-Yellow-Sea International Workshop on Information Technologies for Network Era (PYIWIT'02), Saga, Japan, March 2002: 1-8.

• Panos Kalnis, Dimitris Papadias: Multi-query optimization for on-line analytical processing. Inf. Syst. 28(5): 457-473 (2003)
• Dimitris Papadias, Yufei Tao, Panos Kalnis, Jun Zhang: Indexing Spatio-Temporal Data Warehouses. ICDE 2002: 166-175
• Panos Kalnis, Wee Siong Ng, Beng Chin Ooi, Dimitris Papadias, Kian-Lee Tan: An adaptive peer-to-peer network for distributed caching of OLAP results. SIGMOD Conference 2002: 25-36
• Panos Kalnis, Nikos Mamoulis, Dimitris Papadias: View selection using randomized search. Data Knowl. Eng. 42(1): 89-111 (2002)
• Panos Kalnis, Dimitris Papadias: Optimization Algorithms for Simultaneous Multidimensional Queries in OLAP Environments. DaWaK 2001: 264-273
• Thanasis Loukopoulos, Panos Kalnis, Ishfaq Ahmad, Dimitris Papadias: Active Caching of On-Line-Analytical-Processing Queries in WWW Proxies. ICPP 2001: 419-426
• Panos Kalnis, Dimitris Papadias: Proxy-Server Architectures for OLAP. SIGMOD Conference 2001: 367-378
• Dimitris Papadias, Panos Kalnis, Jun Zhang, Yufei Tao: Efficient OLAP Operations in Spatial Data Warehouses. SSTD 2001: 443-459
• Dimitris Papadias, Panos Kalnis, Nikos Mamoulis: Hierarchical Constraint Satisfaction in Spatial Databases. AAAI/IAAI 1999: 142-147
• Dimitris Papadias, Marios Mantzourogiannis, Panos Kalnis, Nikos Mamoulis, Ishfaq Ahmad: Content-Based Retrieval Using Heuristic Search. SIGIR 1999: 168-175

• Tao, Y., Papadias, D., Zhang, J. Cost Models for Overlapping and Multi-Version Structures. ACM Transactions on Databases Systems (TODS), 27(3): 299-342, 2002.
• Tao, Y., Papadias, D., Shen, Q. Continuous Nearest Neighbor Search. Proceedings of the 28th Very Large Data Bases conference (VLDB), pp.287-298, Hong Kong, August 20-24, 2002.
• Tao, Y., Papadias, D. Adaptive Index Structures. Proceedings of the 28th Very Large Data Bases conference (VLDB), pp.418-429, Hong Kong, August 20-24, 2002.
• Tao, Y., Papadias, D. Time-Parameterized Queries in Spatio-Temporal Databases. Proceedings of ACM Conference on Management of Data (SIGMOD), pp. 334-345, Madison, USA, June 3-6, 2002.
• Tao, Y., Papadias, D., Zhang, J. Aggregate Processing of Planar Points. Proceedings of the 8th conference on Extending Data Base Technology (EDBT), pp.682-700, Prague, Czech Republic, March 25-27, 2002 (also published in Spinger Verlag, LNCS, 2287).
• Tao, Y., Papadias, D., Zhang, J. Cost Models for Overlapping and Multi-Version B-trees. Proceedings of 18th IEEE International Conference on Data Engineering (ICDE), pp.191-200, San Jose, USA, Feb 26-Mar 1, 2002.
• Papadias, D., Tao, Y., Kalnis, P., Zhang, J. Indexing Spatio-Temporal Data Warehouses. Proceedings of the 18th IEEE International Conference on Data Engineering (ICDE), pp.166-175, San Jose, USA, Feb 26-Mar 1, 2002.
• Tao, Y., Papadias, D. The MV3R-Tree: A Spatio-Temporal Access Method for Timestamp and Interval Queries. Proceedings of the 27th Very Large Data Bases conference (VLDB), pp.431-440, Rome, Italy, Sept 11-14, 2001.
• Tao, Y., Papadias, D. Efficient Historical R-trees. Proceedings of the 13th IEEE Conference on Scientific and Statistical Database Management (SSDBM), pp.223-232, Fairfax Virginia, USA, July 18-20, 2001.
• Papadias, D., Kalnis, P., Zhang, J., Tao, Y. Efficient OLAP Operations in Spatial Data Warehouses. Proceedings of the 7th International Symposium on Spatial and Temporal Databases (SSTD), pp.443-459, LA, USA, July 12-15, 2001 (also published in Spinger Verlag, LNCS, 2121).

1. B. Zheng, J. Xu, and D. L. Lee. "Cache Invalidation and Replacement Policies for Location-Dependent Data in Mobile Environments". IEEE Transactions on Computers (TC), 51(10): 1141-1153, Oct. 2002. [pdf]
2. J. Xu, B. Li, and D. L. Lee. "Placement Problems for Transparent Data Replication Proxy Services". IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Internet Proxy Services, 20(7): 1383-1398, Sep. 2002. [pdf]
3. D. L. Lee, W.-C. Lee, J. Xu, and B. Zheng. "Data Management in Location-Dependent Information Services". IEEE Pervasive Computing, 1(3): 65-72, July-September 2002. [pdf]
4. J. Xu, B. Li, and D. L. Lee. "Optimal Replica Placement on Transparent Replication Proxies for Read/Write Data". Proc. the 21st IEEE Int. Performance, Computing, and Communications Conference (IPCCC '02), Phoenix, AZ, USA, April 2002, pp. 103-110. [pdf]
5. J. Xu, D. L. Lee, and B. Li. "Bandwidth Allocation for Wireless Data Dissemination in Multi-Cell Environments". Proc. the 21st IEEE Int. Performance, Computing, and Communications Conference (IPCCC '02), Phoenix, AZ, USA, April 2002, pp. 233-240. [pdf]
6. J. Xu, Q. Hu, W.-C. Lee, and D. L. Lee. "An Optimal Cache Replacement Policy for Wireless Data Dissemination under Cache Consistency". Proc. the 30th Int. Conf. on Parallel Processing (ICPP '01), Valencia, Spain, Sep. 2001, IEEE Press, pp. 267-274. [pdf]
7. J. Xu, Q. Hu, D. L. Lee, and W.-C. Lee. "SAIU: An Efficient Cache Replacement Policy for Wireless On-Demand Broadcasts". Proc. the 9th ACM Int. Conf. on Information and Knowledge Management (CIKM '00), McLean, VA, USA, Nov. 2000, pp. 46-53. [pdf]
8. J. Xu and D. L. Lee. "Querying Location-Dependent Data in Wireless Cellular Environment". WAP Forum/W3C Workshop on Position Dependent Information Services, Sophia Antipolis, France, Feb. 2000. [html]
9. J. Xu, X. Tang, D. L. Lee, and Q. Hu. "Cache Coherency in Location-Dependent Information Services for Mobile Environment". Proc. the 1st Int. Conf. on Mobile Data Access (MDA '99), Hong Kong, Dec. 1999, Springer-Verlag LNCS, vol. 1748, pp. 182-193. [pdf]

• D. Papadias, N. Mamoulis, and Y. Theodoridis, "Constraint-based Processing of Multiway Spatial Joins", Algorithmica, 30(2): 188-215, Springer, February 2001.
• D. Papadias, N. Mamoulis, and V. Delis, "Approximate spatio-temporal retrieval", ACM Transactions on Information Systems (TOIS), 19(1): 53-96, ACM Press, January 2001.
• D. Papadias, M. Mantzourogiannis, P. Kalnis, N. Mamoulis, and I. Ahmad, "Content-Based Retrieval Using Heuristic Search", Proceedings of the ACM Conference on Information Retrieval (SIGIR), pp.168-175, Berkeley, California, August 1999.
• N. Mamoulis and D. Papadias, "Improving search using indexing: a study with temporal CSPs", Proceedings of the 16th International Joint Conference on Artificial Intelligence (IJCAI), pp.168-175, Stockholm, Sweden, August 1999.
• D. Papadias, P. Kalnis, and N. Mamoulis, "Hierarchical Constraint Satisfaction in Spatial Databases", Proceedings of the 16th National Conference on Artificial Intelligence (AAAI), pp.142-147, Orlando, Florida, July 1999.
• N. Mamoulis and D. Papadias, "Integration of Spatial Join Algorithms for Processing Multiple Inputs", Proceedings of the ACM Conference on Management of Data (SIGMOD), pp.1-12, Philadelphia, PA, June 1999.
• D. Papadias, N. Mamoulis, and Y. Theodoridis, "Processing and Optimization of Multi-way Spatial Joins", Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS), pp. 44-55, Philadelphia, PA, June 1999.
• N. Mamoulis and D. Papadias, "Constraint-based Algorithms for Computing Clique Intersection Joins", Proceedings of the 6th ACM International Symposium on Advances in Geographic Information Systems (GIS), pp.118-123, Washington DC, November 1998.
• D. Papadias, N. Mamoulis, and D. Meretakis, "Image Similarity Retrieval by Spatial Constraints", Proceedings of the 7th ACM Conference on Information and Knowledge Management (CIKM), pp. 289-296, Washington DC, November 1998.
• V. Delis, D. Papadias, and N. Mamoulis, "Assessing Multimedia Similarity: A Framework for Structure and Motion", Proceedings of 6th ACM Multimedia Conference (SIGMM), pp.333-338, Brighton, UK, ACM Press, September 1998.
• D. Papadias, N. Mamoulis, and V. Delis, "Algorithms for Querying by Spatial Structure", Proceedings of the 24th Very Large Data Bases Conference (VLDB), pp.546-557, New York, August 1998.

• C. W. Ngo, T. C. Pong & R. T. Chin, Exploiting Image Indexing Techniques in DCT Domain, IAPR International Workshop on Multimedia nformation Analysis & Retrieval, Hong Kong, 1998, pp. 195-206.
• C. W. Ngo, T. C. Pong, H. J. Zhang & R. T. Chin, Motion Characterization by Temporal Slice Analysis, Computer Vision and Pattern Recognition (CVPR'00), vol.2, pp. 768-773, 2000
• C. W. Ngo, T. C. Pong, H. J. Zhang & R. T. Chin, Motion-based Video Representation for Scene Change Detection, Int. Conf. Pattern Recognition (ICPR'00), vol. 1, pp. 827-830, 2000.
• C. W. Ngo, T. C. Pong & R. T. Chin, A Robust Wipe Detection Algorithm, Asian Conference on Computer Visian (ACCV'00), Taipei, vol. 1, pp. 246-251, 2000.
• C. W. Ngo, T. C. Pong & R. T. Chin, Detection of Gradual Transitions through Temporal Slice Analysis, Computer Vision and Pattern Recognition (CVPR'99), Fort Collins, Colorado, USA, 1999, vol.1, pp. 36-41.
• C. W. Ngo, T. C. Pong & R. T. Chin, Camera Breaks Detection by Partitioning of 2D Spatio-temporal Images in MPEG Domain, IEEE Multimedia Systems (ICMCS'99), Italy, 1999, vol. 1, pp. 750-755.
• C. W. Ngo, T. C. Pong & R. T. Chin, A Survey of Video Parsing and Image Indexing Techniques in Compressed Domain, Symposium on Image, Speech, Signal Processing, and Robotics (Workshop on Computer Vision), Hong Kong, 1998, vol. 1, pp. 231-236.

• K.W. Cheung, D. Y. Yeung, R. T. Chin, "Robust deformable matching for character extraction", Advances in Handwriting Recognition, S.W. Lee (ed.), pp.235-244, World Scientific, 1999.
• K.W. Cheung, T. Lee, R. T. Chin, "Optimal image boundary detection via Hopfield net and tunneling", Progress in Neural Networks: Special Volume on Shape Analysis, Omid M. Omidvar (ed.), pp.161-208, Intellect, 1999.
• K.W. Cheung, D.Y. Yeung, R.T. Chin. "A Bayesian framework for deformable pattern recognition with application to handwritten character recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(12):1382-1388, December 1998.
• K.W. Cheung, D.Y. Yeung, R.T. Chin, "A bidirectional matching algorithm for deformable pattern detection with application to handwritten word retrieval", in Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1105-1110, Kerkyra, Greece, 20-27 September 1999.
• K.W. Cheung, D.Y. Yeung, R.T. Chin. Robust deformable matching for character extraction, in Proceedings of the Sixth International Workshop on Frontiers in Handwriting Recognition, pp.179-188, Taejon, Korea, 12-14 August 1998.
• K.W. Cheung, D.Y. Yeung, R.T. Chin. Recognition of handwritten digits using deformable models, in Proceedings of the Fifth International Workshop on Frontiers in Handwriting Recognition, pp.259-262, Colchester, UK, 2-5 Sept 1996.
• K.W. Cheung, D.Y. Yeung, R.T. Chin. Competitive mixture of deformable models for pattern classification, in Proceedings of the 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, California, USA, 18-20 June 1996.
• K.W. Cheung, D.Y. Yeung, R.T. Chin. A unified framework for handwritten character recognition using deformable models, in Proceedings of the Second Asian Conference on Computer Vision, Singapore, 5-8 December 1995.
• K.W. Cheung, D.Y. Yeung, R.T. Chin. "On Deformable Models for Visual Pattern Recognition", Technical Report HKUST-CS98-08, Department of Computer Science and Engineering, Hong Kong University of Science and Technology, May 1998.

1. Yu-Kwong Kwok and Ishfaq Ahmad, "Efficient Scheduling of Arbitrary Task Graphs to Multiprocessors Using A Parallel Genetic Algorithm", Journal of Parallel and Distributed Computing, vol. 47, no. 1, pp. 58-77, November 1997.
2. Yu-Kwong Kwok, Kamalakar Karlapalem, Ishfaq Ahmad, and Moon-Pun Ng, "Design and Evaluation of Data Allocation Algorithms for Distributed Multimedia Database Systems", IEEE Journal on Selected Areas in Communications, vol. 14, no. 7, pp. 1332-1348, September 1996.
3. Yu-Kwong Kwok and Ishfaq Ahmad, "Dynamic Critical-Path Scheduling: An Effective Technique for Allocating Task Graphs to Multiprocessors", IEEE Transactions on Parallel and Distributed Systems, vol. 7, no. 5, pp. 506-521, May 1996.
4. Yu-Kwong Kwok and Ishfaq Ahmad, "A Parallel Algorithm for Compile-Time Scheduling of Parallel Programs on Multiprocessors", Proceedings of the 1997 International Conference on Parallel Architectures and Compilation Techniques (PACT'97), pp. 90-101, San Francisco, California, USA, November 1997.
5. Yu-Kwong Kwok and Ishfaq Ahmad, "A Parallel Genetic-Search-Based Algorithm for Scheduling Arbitrary Task Graphs to Multiprocessors", Proceedings of the 9th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS'97), pp. 245-248, Washington, D.C., USA, October 1997.
6. Ishfaq Ahmad, Yu-Kwong Kwok, Min-You Wu, and Wei Shu, "Automatic Parallelization and Scheduling of Programs on Multiprocessors Using CASCH", Proceedings of the 1997 International Conference on Parallel Processing (ICPP'97), pp. 288-291, Bloomingdale, Illinois, USA, August 1997.
7. Kamalakar Karlapalem, Ishfaq Ahmad, Siu-Kai So, and Yu-Kwong Kwok, "Empirical Evaluation of Data Allocation Algorithms for Distributed Multimedia Database Systems", Proceedings of the 21st IEEE International Computer Software and Applications Conference (COMPSAC'97), pp. 296-301, Washington, D.C., USA, August 1997.
8. Yu-Kwong Kwok, Ishfaq Ahmad, Min-You Wu, and Wei Shu, "A Graphical Tool for Automatic Parallelization and Scheduling of Programs on Multiprocessors", Proceedings of the Third European Conference on Parallel Processing (EURO-PAR'97), (Lecture Notes in Computer Science, Volume 1300, Christian Lengauer, Martin Griebl, Sergei Gorlatch (eds.), Springer Berlin/Heidelberg), pp. 294-301, Passau, Germany, August 1997.
9. Ishfaq Ahmad and Yu-Kwong Kwok, "A Comparison of Task-Duplication-Based Algorithms for Scheduling Parallel Programs to Message-Passing Systems", Proceedings of the 11th International Symposium on High-Performance Computing Systems (HPCS'97), pp. 39-50, Winnepeg, Manitoba, Canada, July 1997.
10. Yu-Kwong Kwok, Ishfaq Ahmad, and Jun Gu, "FAST: A Low Complexity Algorithm for Efficient Scheduling of DAGs on Parallel Processors", Proceedings of the 1996 International Conference on Parallel Processing (ICPP'96), vol. II, pp. 150-157, Bloomingdale, Illinois, USA, August 1996.
11. Ishfaq Ahmad, Yu-Kwong Kwok, and Min-You Wu, "Analysis, Evaluation and Comparison of Algorithms for Scheduling Task Graphs on Parallel Processors", Proceedings of the Second IEEE International Symposium on Parallel Architecture, Algorithms, and Networks (I-SPAN'96), pp. 207-213, Beijing, China, June 1996.
12. Yu-Kwong Kwok and Ishfaq Ahmad, "Bubble Scheduling: A Quasi Dynamic Algorithm for Static Allocation of Tasks to Parallel Architectures", Proceedings of the 7th IEEE Symposium on Parallel and Distributed Processing (SPDP'95), pp. 36-43, Dallas, Texas, USA, October 1995.
13. Ishfaq Ahmad, Yu-Kwong Kwok, and Min-You Wu, "Performance Comparison of Algorithms for Static Scheduling of DAGs to Multiprocessors", Proceedings of the Second Australasian Conference on Parallel and Real-Time Systems (PART'95), pp. 185-192, Fremantle, Western Australia, September 1995.
14. Ishfaq Ahmad and Yu-Kwong Kwok, "A Parallel Approach for Multiprocessor Scheduling", Proceedings of the 9th International Parallel Processing Symposium (IPPS'95), pp. 289-293, Santa Barbara, California, USA, April 1995.
15. Yu-Kwong Kwok and Ishfaq Ahmad, "Exploiting Duplication to Minimize the Execution Times of Parallel Programs on Message-Passing Systems", Proceedings of the 6th IEEE Symposium on Parallel and Distributed Processing (SPDP'94), pp. 426-433, Dallas, Texas, USA, October 1994.
16. Yu-Kwong Kwok and Ishfaq Ahmad, "A Static Scheduling Algorithm Using Dynamic Critical Path for Assigning Parallel Algorithms onto Multiprocessors", Proceedings of the 1994 International Conference on Parallel Processing (ICPP'94), vol. II, pp. 155-159, St. Charles, Illinois, USA, August 1994.
17. Ishfaq Ahmad and Yu-Kwong Kwok, "A New Approach to Scheduling Parallel Programs Using Task Duplication", Proceedings of the 1994 International Conference on Parallel Processing (ICPP'94), vol. II, pp. 47-51, St. Charles, Illinois, USA, August 1994.

Raymond K. Wong, H. Lewis Chau, Frederick H. Lochovsky: A Data Model and Semantics of Objects with Dynamic Roles. ICDE 1997: 402-411

Journal Papers

1. T.Y. Kwok, D.Y. Yeung. Objective functions for training new hidden units in constructive neural networks. IEEE Transactions on Neural Networks, 8(5):1131-1148, September 1997.
2. T.Y. Kwok, D.Y. Yeung. Constructive algorithms for structure learning in feedforward neural networks for regression problems. IEEE Transactions on Neural Networks, 8(3):630-645, May 1997.
3. T.Y. Kwok, D.Y. Yeung. Use of bias term in projection pursuit learning improves approximation and convergence properties. IEEE Transactions on Neural Networks, 7(5):1168-1183, September 1996.
4. T.Y. Kwok, D.Y. Yeung. Improving the approximation and convergence capabilities of projection pursuit learning. Neural Processing Letters, 2(3):20-25, May 1995.

Conference Papers

1. T.Y. Kwok, D.Y. Yeung. Reference priors for neural networks: Laplace versus Gaussian. Proceedings of the International Conference on Neural Information Processing (ICONIP), pp.109-114, Hong Kong, September 1996.
2. T.Y. Kwok, D.Y. Yeung. Bayesian regularization in constructive neural networks. Proceedings of the International Conference on Artificial Neural Networks (ICANN), pp.557-562, Bochum, Germany, July 1996.
3. T.Y. Kwok, D.Y. Yeung. Efficient cross-validation for feedforward neural networks. Proceedings of the IEEE International Conference on Neural Networks (ICNN), Perth, Western Australia, November 1995.
4. T.Y. Kwok, D.Y. Yeung. Improving the approximation and convergence capabilities of projection pursuit learning. Proceedings of the International Conference on Artificial Neural Networks (ICANN), pp.197-202, Paris, France, October 1995.
5. T.Y. Kwok, D.Y. Yeung. Constructive neural networks: Some practical considerations. Proceedings of the IEEE International Conference on Neural Networks (ICNN), pp.198-203, Orlando, Florida, USA, June 1994.
6. T.Y. Kwok, D.Y. Yeung. A theoretically sound learning algorithm for constructive neural networks. Proceedings of the IEEE International Symposium on Speech, Image Processing and Neural Networks, pp.389-392, Hong Kong, April 1994.
7. T.Y. Kwok, D.Y. Yeung. Experimental analysis of input weight freezing in constructive neural networks. Proceedings of the IEEE International Conference on Neural Networks (ICNN), pp.511-516, San Francisco, California, USA, March 1993.