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Last Modified: 8/10/2010

Publications

Books
  1. Shashi Shekhar, Hui Xiong (Editor-in-Chiefs), Encyclopedia of GIS (The book web site maintained by Springer). (Brochure). ISBN-10: 0387359753, ISBN-13: 978-0387359755, Springer; 1 edition, January, 2008.  CHOICE Outstanding Academic Title of the Year 2008.
  1. Hui Xiong, Hyperclique pattern discovery: Algorithms and applications, ISBN: 0-5422-6663-6, ProQuest Information and Learning, 2006.
  1. Weili Wu, Hui Xiong, Shashi Shekhar (Eds.), Clustering and Information Retrieval , ISBN: 1-4020-7682-7, Kluwer Academic Publishers, 2003.

Journal Papers

  1. Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu, A Cocktail Approach for Travel Package Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), to Appear, 2013.
  2. Hongyan Liu, Jun He, Yingqin Gu, Hui Xiong, Xiaoyong Du Detecting and Tracking Topics and Events from Web Search Logs, ACM Transactions on Information Systems(TOIS), Vol. 30, No. 4, 2012.
  3. Byron Gao, Martin Ester, Hui Xiong, Oliver Schulte, Jinyi Cai The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 24, No. 2, pp. 309-325, 2012.
  4. Zhongmou Li, Hui Xiong, Yanchi Liu Mining Blackhole and Volcano Patterns in Directed Graphs: A General Approach, Data Mining and Knowledge Discovery Journal, pp. 577 - 602, 2012.
  5. Junjie Wu, Hui Xiong, Chen Liu, and Jian Chen. A Generalization of Distance Functions for Fuzzy c-Means Clustering, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Fuzzy Systems (TFS), Vol. 20, No. 3, pp. 557-571, 2012.
  6. Stephen France, Douglas Carroll, Hui Xiong, Distance Metrics for High Dimensional Nearest Neighborhood Recovery: Compression and Normalization, Information Sciences, Vol. 184, Isse. 1, pp. 92-110, February, 2012.
  7. Aabhas Paliwal, Basit Shafiq, Jaideep Vaidya, Hui Xiong, and Nabil Adam, Semantics Based Automated Service Discovery, IEEE Transactions on Services Computing (TSC), Vol 5, No 2, pp.246-259, 2012.
  8. Junjie Wu, Shiwei Zhu, Hui Xiong, Jian Chen, Jianming Zhu, and Nabil Adam, Adapting the Right Measures for Pattern Discovery: A Unified View, IEEE Transactions on Systems, Man, and Cybernetics, Part B (TSMCB), Vol. 42, No 4, pp. 1203-1214, 2012.
  9. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong, Mining Distinction and Commonality across Multiple Domains using Generative Model for Text Classification, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 24, No. 11, pp. 2025 - 2039, November, 2012.
  10. Qi Liu, Enhong Chen, Hui Xiong, Chris H.Q. Ding, Jian Chen, Enhancing Collaborative Filtering by User Interests Expansion via Personalized Ranking, IEEE Transactions on Systems, Man, and Cybernetics - Part B (TSMCB), Volume 42, Number 1, pp. 218-233, February, 2012.
  11. Byron J. Gao, Obi L. Griffith, Martin Ester, Hui Xiong, Qiang Zhao, Steven J.M. Jones, On The Deep Order-Preserving Submatrix Problem: A Best-Effort Approach, IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 24, Number 1, pp. 309-325, January, 2012.
  12. Wenjun Zhou, Hui Xiong, Checkpoint Evolution for Volatile Correlation Computing, Machine Learning, Volume 83, Number 1, pp. 103 - 131, 2011.
  13. Yong Ge, Hui Xiong, Wenjun Zhou, Siming Li and Ramendra Sahoo, Multi-focal Learning for Customer Problem Analysis, ACM Transaction on Intelligent Systems and Technology (TIST), Volume 2, Issue 3, April 2011.
  14. Xiaobin Ma, Chengyang Zhang, Shashi Shekhar, Yan Huang, and Hui Xiong, On Multi-type Reverse Nearest Neighbor Search, Data & Knowledge Engineering (DKE), Volume 70, Number 11, pp. 955-983, November 2011.
  15. Enhong Chen, Yanggang Lin, Hui Xiong, Qiming Luo, and Haiping Ma, Exploiting Probabilistic Topic Models to Improve Text Categorization under Class Imbalance, Information Processing and Management, Vol. 47, No. 2, pp. 202-214, March, 2011.
  16. Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi, Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization, Statistical Analysis and Data Mining, 4(1), pp. 100 - 114, 2011.
  17. Shiwei Zhu, Junjie Wu, Hui Xiong, and Guoping Xia, Scaling up Top-K Cosine Similarity Search, Data and Knowledge Engineering (DKE), Volume 70, Number 1, January 2011.
  18. Junjie Wu, Hui Xiong, Jian Chen, COG: Local Decomposition for Rare Class Analysis, Data Mining and Knowledge Discovery Journal, Vol. 20, No. 2, pp. 191 - 220, March, 2010.
  19. Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhongzhi Shi, Crossdomain Learning From Multiple Sources: A Consensus Regularization Perspective, IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 22, Number 12, pp. 1664-1678, 2010.
  20. Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabady, Achieving Guaranteed Anonymity in GPS Traces via Uncertainty-Aware Path Cloaking, IEEE Transactions on Mobile Computing (TMC), Volume 9, Number 8, pp. 1089-1107, August 2010. (selected as the Spotlight Paper for the August 2010 issue)
  21. Junjie Wu, Hua Yuan, Hui Xiong, Guoqing Chen, Validation of overlapping clustering: A random clustering perspective Information Science, 180 (22), pp. 4353 - 4369, 2010.
  22. Cui Yu, Rui Zhang, Yaochun Huang, Hui Xiong, High-dimensional kNN joins with incremental updates, The Geoinformatica, An International Journal on Advances of Computer Science for Geographic Information Systems, Volume 14, Number 1, pp. 55 - 82, January 2010.
  23. Xing Jiang, Hui Xiong, Chen Wang, Ah-Hwee Tan, Mining Globally Distributed Frequent Subgraphs in a Single Labeled Graph, Data & Knowledge Engineering, Vol. 68, No. 10, pp. 1034-1058, 2009.
  24. Hui Xiong, Junjie Wu, Jian Chen, K-means Clustering Versus Validation Measures: A Data Distribution Perspective, IEEE Transactions on Systems, Man, and Cybernetics --- Part B (TSMCB), Vol. 39, No. 2. (2009), pp. 318-331, 2009.
  25. Junjie Wu, Hui Xiong, Jian Chen, Towards Understanding Hierarchical Clustering: A Data Distribution Perspective, Neurocomputing, 72 (10 - 12), pp. 2319 - 2330, 2009.
  26. Ping Luo, Hui Xiong, Guoxing Zhan, Junjie Wu, Zhongzhi Shi, Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 21, No. 9, pp. 1249 - 1262, September, 2009.
  27. Hua Yuan, Guoqing Chen, Junjie Wu, and Hui Xiong, Towards Controlling Virus Propagation in Information Systems with Point-to-Group Information Sharing, Decision Support Systems (DSS), Volume 48, Issue 1, December, 2009.
  28. Hui Xiong, Michael Steinbach, Arifin Ruslim, Vipin Kumar, Characterizing Pattern Preserving Clustering, the Knowledge and Information Systems (KAIS) journal, Volume 19, Issue 3, pp. 311-336, June 2009.
  29. Junjie Wu, Jian Chen, Hui Xiong, Ming Xie, External validation measures for K-means clustering: A data distribution perspective, Expert Syst. Appl, Volume 36, Issue 3, pp. 6050-6061, 2009.
  30. Dihua Guo, Hui Xiong, Vijay Atluri, Nabil Adam, Object Discovery in High-Resolution Remote Sensing Imagery: A Semantic Perspective, the Knowledge and Information Systems (KAIS) journal, Volume 19, Issue 2, pp. 211 - 233, May 2009.
  31. Hui Xiong, Wenjun Zhou, Mark Brodie, Sheng Ma, TOP-K φ Correlation Computation, INFORMS Journal on Computing (JOC), Vol. 20, No. 4, pp. 539-552,  2008.
  32. Tianming Hu, Sam Y. Sung, Hui Xiong, Qian Fu, Discovery of Maximum Length Frequent Itemsets, Information Sciences, Vol. 178, Issue 1, pp. 69 - 87, January 2008.

  33. Tianming Hu, Chew Lim Tan, Yong Tang, Sam Yuan Sung, Hui Xiong, Chao Qu, Coclustering Bipartite with Pattern Preservation for Topic Extraction, International Journal on Artificial Intelligence Tools (IJAIT), 17(1), pp. 87-107, 2008.
  34. Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen, On the Strength of Hyperclique Patterns for Text Categorization, Information Sciences, Vol. 177, Issue 19, pp. 4040-4058, 2007.
  35. Yaochun Huang, Hui Xiong, Weili Wu, Ping Deng, Zhongnan Zhang, Mining Maximal Hyperclique Pattern: A Hybrid Search Strategy, Information Sciences, Vol. 177, Issue 3, pp. 703 - 721, February, 2007.
  36. Hui Xiong, Michael Steinbach, and Vipin Kumar, Privacy Leakage in Multi-relational Databases: A Semi-supervised Learning Perspective, VLDB Journal Special Issue on Privacy Preserving Data Management, Vol. 15, No. 4, pp. 388-402, November, 2006.
  37. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, and Vipin Kumar, TAPER: A Two-Step Approach for All-strong-pairs Correlation Query in Large Databases, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 18, No. 4, pp. 493-508, April 2006.
  38. Chris Ding, Xiaofeng He, Hui Xiong, H. Peng, and Steve, R. Holbrook, Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques, International Journal Data Mining and Bioinformatics, Vol. 1, No. 2, pp. 162 - 177, 2006.
  39. Hui Xiong, Pang-Ning Tan, and Vipin Kumar, Hyperclique Pattern Discovery, Data Mining and Knowledge Discovery Journal, Vol. 13, No. 2, pp. 219-242, September 2006.
  40. Hui Xiong, Gaurav Pandey, Michael Steinbach, Vipin Kumar, Enhancing Data Analysis with Noise Removal, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 18, No. 3, pp. 304-319, March 2006.
  41. Yao Liu, Sam Y. Sung, Hui Xiong, A Cubic-Wise Balance Approach for Privacy Preservation in Data Cubes, Information Sciences, Vol. 176, Issue 9, pp. 1215-1240, May 2006.
  42. Yan Huang, Jian Pei, and Hui Xiong, Mining Co-location Patterns in Spatial Data Sets with Rare Events, the GeoInformatica, An International Journal on Advances of Computer Science for Geographic Information Systems, Vol. 10, Issue 3, pp. 239 - 260, September, 2006.
  43. Sam Y. Sung, Yao Liu, Hui Xiong, Peter Ng, Privacy Preservation for Data Cubes, Knowledge and Information Systems - An International Journal (KAIS), Vol. 9, No 1, pp. 38 - 61,  January 2006.
  44. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar, IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 17, No. 9,  pp. 1208-1222, September 2005.
  45. Yan Huang, Shashi Shekhar, and Hui Xiong (Corresponding Author), Discovering Co-location Patterns from Spatial Datasets: A General Approach, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 16, No. 12,  pp. 1472-1485, December 2004.

Conference Papers

  1. Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong. Learning Geographical Preferences for Point-of-Interest Recommendation. In Proceedings of 2013 ACM SIGKDD International Conference on Knoweldge Discovery and Data Mining (KDD 2013). to Appear, 2013.
  2. Junjie Wu, Hongfu Liu, Hui Xiong. A Theoretic Framework of K-means-based Consensus Clustering. In Proceedings of 23rd Internationa Joint Conference on Artificial Intelligence (JICAI 2013), Oral Presentation, 2013.
  3. Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, PageRank with Priori: An Influence Propagation Perspective. In Proceedings of 23rd Internationa Joint Conference on Artificial Intelligence (IJCAI 2013), Oral Presentation, 2013.
  4. Bin Liu, Hui Xiong. Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness. In Proceedings of 2013 SIAM International Conference on Data Mining (SDM 2013) to Appear, 2013.
  5. Ruilin Liu, Hui (Wendy) Wang, Philippos Mordohai, Hui Xiong. Integrity Verification of K-means Clustering Outsourced to Infrastructure as a Service (IaaS) Providers. In Proceedings of 2013 SIAM International Conference on Data Mining (SDM 2013). to Appear, 2013.
  6. Chuanren Liu, Hui Xiong, Yong Ge, Wei Geng, Matt Perkins. A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces. In Proceedings of the 12th IEEE Conference on Data Mining (ICDM 2012), to appear, 2012.
  7. Hengshu Zhu, Kuifei Yu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian. Mining Personal Context-Aware Preferences for Mobile Users. In Proceedings of the 12th IEEE Conference on Data Mining (ICDM 2012), to appear, 2012.
  8. Hengshu Zhu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian. Exploiting Enriched Contextual Information for Mobile App Classification. In Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM 2012), Hawaii, USA, pp. 1617 - 1621, 2012
  9. Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong. Which Distance Metric is Right: An Evolutionary K-Means View. In Proceedings of the 2012 SIAM International Conference on Data Mining (SDM 2012). pp. 907 - 918, 2012.
  10. Xueying Li, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian. BP-Growth: Searching Strategies for Efficient Behavior Pattern Mining. the 13th IEEE International Conference on Mobile Data Management (MDM 2012). pp. 238 - 247, 2012.
  11. Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen, Cost-aware Travel Tour Recommendation, the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), to appear, 2011.
  12. Chunyu Luo, Hui Xiong, Wenjun Zhou, Yanhong Guo, Guishi Deng, Enhancing Investment Decision in P2P Lending: An Investor Composition Perspective, the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), pp. 292 - 300, 2011.
  13. Yong Ge, Hui Xiong, Chuanren Liu, and Zhi-Hua Zhou, A Taxi Driving Fraud Detection System, the 11th IEEE International Conference on Data Mining (ICDM 2011) (ICDM 2011), to appear, 2011.
  14. Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong, Personalized Travel Package Recommendation, the 11th IEEE International Conference on Data Mining (ICDM 2011) (ICDM 2011), to appear, 2011. (ICDM Best Research Paper Award).
  15. Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu. Collaborative Filtering with Collective Training, the 5th ACM International Conference on Recommender Systems, pp. 281 - 284, Chicago, US, October, 2011.
  16. Hengshu Zhu, Huanhuan Cao, Hui Xiong, Enhong Chen, Jilei Tian, Towards Expert Finding by Leveraging Relevant Categories in Authority Ranking, The 20th ACM Conference on Information and Knowledge Management (CIKM 11), pp. 2221 - 2224, Glasgow, 2011.
  17. Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser,Michael J. Pazzani, An Energy-Efficient Mobile Recommender System , the 16th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2010), pp. 899 - 908, 2010. (Accepted for full presentation).
  18. Yong Ge, Hui Xiong, Zhi-Hua Zhou, Hasan Ozdemir, Jannite Yu, and K.C. Lee, TOP-EYE: Top-k Evolving Trajectory Outlier Detection, the 19th ACM Conference on Information and Knowledge Management (CIKM 2010), pp 1733-1736, 2010.
  19. Zhongmou Li, Hui Xiong , Yanchi Liu, Aoying Zhou, Detecting Blackholes and Volcanoes in Directed Networks, the 10th IEEE International Conference on Data Mining (ICDM 2010), pp. 294 - 303, 2010.
  20. Tengfei Bao, Happia Cao, Enhong Chen, Jilei Tian, and Hui Xiong, An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users, the 10th IEEE International Conference on Data Mining (ICDM 2010), pp. 38 - 47, 2010.
  21. Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, and Junjie Wu, Understanding of Internal Clustering Validation Measures, the 10th IEEE International Conference on Data Mining (ICDM 2010), pp. 911 - 916, 2010.
  22. Qi liu, Enhong Chen, Hui Xiong and Chris Ding, Exploiting User Interests for Collaborative Filtering: Interests Expansion via Personalized Ranking, the 19th ACM Conference on Information and Knowledge Management (CIKM 2010), pp. 1697 - 1700, 2010.
  23. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong, Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification, the 19th ACM Conference on Information and Knowledge Management (CIKM 2010), pp. 359-368, 2010.
  24. Wenjun Zhou, Hui Xiong, Yong Ge, Jannite Yu, Hasan Ozdemir, and K.C.Lee, Direction Clustering for Characterizing Movement Patterns, the 2010 IEEE International Conference on Information Reuse and Integration (IRI'10), to appear, 2010.
  25. Jie Yang, Yong Ge, Hui Xiong, Yingying Chen, and Hongbo Liu, Performing Joint Learning for Passive Intrusion Detection in Pervasive Wireless Environments, the 29th IEEE Conference on Computer Communications, (IEEE INFOCOM 2010), pp. 767-775, 2010.
  26. Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi, Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization, SIAM International Conf. on Data Mining, (SDM 2010), pp. 13 - 24, 2010.
  27. Junjie Wu, Hui Xiong, Jian Chen, Adapting the Right Measures for K-means Clustering, the 15th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2009), pp. 877 - 886, 2009. (Accepted for Regular Presentation).
  28. Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra Sahoo, Xiaofeng Gao, Weili Wu, Multi-focal Learning and Its Application to Customer Service Support, the 15th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2009), pp. 349 - 358, 2009. (Accepted for Regular Presentation).
  29. Wenjun Zhou, Hui Xiong, Efficient Discovery of Confounders in Large Data Sets, the 2009 IEEE International Conference on Data Mining, (ICDM 2009), 2009. (Accepted as a Regular Paper)
  30. Xiaobin Ma, Shashi Shekhar, Hui Xiong, Multi-Type Nearest Neighbor Queries On Spatial-Temproal Road Networks With Time Window Constraints, ACM-GIS 2009 International Symposium on Advances in Geographic Information Systems, (ACM GIS 2009), pp. 484 - 487, 2009.
  31. Huanhuan Cao, Enhong Chen, Jie Yang, Hui Xiong, Enhancing Recommender Systems Under Volatile User Interest Drifts, the 18th ACM Conference on information and Knowledge Management, (CIKM 2009), pp 1257 - 1266,, 2009.
  32. Tieyun Qian, Qing Li, Liu Bing, Hui Xiong, Jaideep Srivastava, What's Behind Topic Formation and Development: A Perspective of Community Core Groups, the 18th ACM Conference on information and Knowledge Management, (CIKM 2009), 1843 - 1846, 2009.
  33. Wenjun Zhou, Hui Xiong, Volatile Correlation Computation: A Checkpoint View, the 14th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2008), pp. 848 - 856. (Best Student Paper Award Runner-Up).
  34. Junjie Wu, Hui Xiong, Jian Chen, SAIL: Summation-based Incremental Learning for Information-Theoretic Clustering, the 14th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2008), pp. 740 - 748, 2008.
  35. Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He, Transfer Learning From Multiple Source Domains via Consensus Regularization, ACM 17th Conference on information and Knowledge Management, (ACM CIKM 2008), pp. 103 - 112, 2008.
  36. Nabil R. Adam, Vijay Atluri, Soon Ae Chun, John Ellenberger, Basit Shafiq, Jaideep Vaidya, Hui Xiong, Secure information sharing and analysis for effective emergency management, DG.O 2008, pp. 407-408, 2008
  37. Tianming Hu, Hui Xiong, Wenjun Zhou, Sam Yuan Sung, Hangzai Luo, Hypergraph Partitioning for Document Clustering: A Unified Clique Perspective, In the 31st Annual International ACM SIGIR Conference, (SIGIR 2008), pp. 871-872, 2008
  38. Xiaojun Quan, Enhong Chen, Qiming Luo, Hui Xiong, Adaptive Label-Driven Scaling for Latent Semantic Indexing, In the 31st Annual International ACM SIGIR Conference, (SIGIR 2008), pp. 827-828, 2008.
  39. Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren, Genetic-Guided Semi-Supervised Clustering Algorithm with Instance-Level Constraints, in Proceedings of the Genetic and Evolutionary Computation Conference, (GECCO 2008), 2008, to appear.
  40. Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren, Data clustering Using Virtual Population based Incremental Learning Algorithm with Similarity Matrix Encoding Strategy, in Proceedings of the Genetic and Evolutionary Computation Conference, (GECCO 2008), 2008, to appear.
  41. Tianming Hu, Hui Xiong, Xueqing Gong, and Sam Yuan Sung, ANEMI: An Adaptive Neighborhood Expectation-Maximization Algorithm with Spatial Augmented Initialization, in Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 2008), pp. 160 - 171, 2008.
  42. Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou, A Generalization of Proximity Functions for K-means, the 2007 IEEE International Conference on Data Mining, (ICDM 2007), pp. 361 - 370, 2007.
  43. Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra Sahoo, Failure Prediction in IBM BlueGene/L Event Logs, the 2007 IEEE International Conference on Data Mining, (ICDM 2007), pp. 583 - 588, 2007.
  44. Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabady, Preserving Privacy in GPS Traces via Uncertainty-Aware Path Cloaking, the 14th ACM Conference on Computer and Communication Security, (ACM CCS 2007), pp. 161 - 171, 2007.
  45. Ping Luo, Hui Xiong, Kevin Lu, Zhongzhi Shi, Distributed Classification in Peer-to-Peer Networks, the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2007), pp. 968 - 976, 2007.
  46. Junjie Wu, Hui Xiong, Wu Peng, Jian Chen, Local Decomposition for Rare Class Analysis, the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2007), pp. 814 - 823, 2007.
  47. Wei Tang, Hui Xiong, Shi Zhong, Jie Wu, Enhancing Semi-Supervised Clustering: A Feature Projection Perspective, the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2007), pp. 707 - 716, 2007.
  48. Byron Gao, Martin Ester, Jinyi Cai, Oliver Schulte, and Hui Xiong, the Minimum Consistent Subset Cover Problem and its Applications in Data Mining, the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2007), pp. 310 - 319,  2007.
  49. Tianming Hu, Hui Xiong, Sam Y. Sung, Co-Preserving Patterns in Bipartite Partitioning for Topic Identification, in Proceedings of the Seventh SIAM International Conference on Data Mining, (SDM 2007), pp. 509 - 514, 2007.
  50. Michael Steinbach, Pang-Ning Tan, Hui Xiong, and Vipin Kumar, Objective Measures for Association Pattern Analysis, Proceedings of the Joint Summer Research Conference on Machine and Statistical Learning: Prediction and Discovery, AMS Contemporary Mathematics (CONM) book series, 2007.
  51. Dihua Guo, Hui Xiong, Vijay Atluri, Nabil Adam, Semantic Feature Selection for Object Discovery in High-Resolution Remote Sensing Imagery, in Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 2007), pp. 71 - 83, 2007.
  52. Hui Xiong, Mark Brodie, Sheng Ma, TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases, the 2006 IEEE International Conference on Data Mining, (ICDM 2006), pp. 1162-1166, 2006.
  53. Hui Xiong, Junjie Wu, Jian Chen, K-means Clustering versus Validation Measures: A Data Distribution Perspective, the 12th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2006), pp. 779-784, 2006.
  54. Aabhas Paliwal, Nabil Adam, and Hui Xiong, Web Service Discovery via Semantic Association Ranking and Hyperclique Pattern Discovery, the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, (WI 2006), pp. 649-652, 2006.
  55. Xiaobin Ma, Shashi Shekhar, Hui Xiong, Pusheng Zhang, Exploiting Page-Level Upper Bound for Multi-Type Nearest Neighbor Queries, ACM-GIS 2006 International Symposium on Advances in Geographic Information Systems, (ACM GIS 2006), pp. 179-186, 2006.
  56. Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen, Adapting Association Patterns for Text Categorization: Weakness and enhancements, ACM Conference on information and Knowledge Management, (ACM CIKM 2006), pp. 782-783, 2006.
  57. Yaochun Huang, Hui Xiong, Weili Wu, Sam, Y. Sung, Mining Quantitative Maximal Hyperclique Patterns: A Summary of Results, Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 2006), pp. 552-556, 2006.
  58. Gyorgy Simon, Hui Xiong, Eric Eilertson, and Vipin Kumar, Scan Detection: A Data Mining Approach, SIAM International Conf. on Data Mining, (SDM 2006), pp. 118-129, (Acceptance rate = 16%), 2006.
  59. Hui Xiong, Michael Steinbach, and Vipin Kumar, Privacy Leakage in Multi-relational Databases via Pattern based Semi-supervised Learning, in Proc. of the ACM Conference on information and Knowledge Management, (ACM CIKM 2005), pp. 355-356, Bremen, Germany, 2005.
  60. Hui Xiong, X. He, Chris Ding, Ya Zhang, Vipin Kumar, Stephen R. Holbrook, Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery, in Proc. of the Pacific Symposium on Biocomputing, (PSB 2005), pp. 221-232, 2005.
  61. Yaochun Huang, Hui Xiong, Weili Wu, and Zhongnan Zhang, A Hybrid Approach for Mining Maximal Hyperclique Patterns, in Proc. of the 16th IEEE Int'l Conf. on Tools with Artificial Intelligence (ICTAI), pp. 354-361,2004.
  62. Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar, Generalizing the Notion of Support, in Proc. of the Tenth ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2004), pp. 689 - 694, Seattle, USA, 2004.
  63. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar, IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition, in Proc. of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (KDD 2004), pp. 364 - 373, Seattle, USA, 2004 (Acceptance rate = 40/337=12%).
  64. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, and Vipin Kumar, Exploiting a Support-based Upper Bound of Pearson's Correlation Coefficient for Efficiently Identifying Strongly Correlated Pairs, in Proc. of the Tenth ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2004), pp. 334 - 343, Seattle, USA, 2004. (Acceptance Rate=40/337=12%).
  65. Hui Xiong, Michael Steinbach, Pang-Ning Tan, and Vipin Kumar, HICAP: Hierarchical Clustering with Pattern Preservation, in Proc. 2004 SIAM International Conf. on Data Mining, (SDM 2004), pp. 279 - 290, Florida, USA, 2004.
  66. Hui Xiong, Shashi Shekhar, Yan Huang, Vipin Kumar, X. Ma, J. Yoo, A Framework for Discovering Co-location Patterns in Data Sets with Extended Spatial Objects, in Proc. 2004 SIAM Int'l Conf. on Data Mining, (SDM 2004), pp. 78 - 89, Florida, USA, 2004.
  67. Yao Liu, Sam Y. Sung, Hui Xiong, Peter Ng, Data Declustering with Replication, in Proc. of the 9th International Conference on Database Systems for Advanced Applications (DASFAA 2004), pp. 682 - 693, Korea, 2004.
  68. Hui Xiong, Pang-Ning Tan, and Vipin Kumar, Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution, In Proc. of the Third IEEE International Conference on Data Mining, (ICDM 2003), pp. 387-394, Melbourne, Florida, USA, 2003. (Acceptance Rate = 58/501 = 12%). (Also in Technical Report TR-03-006 Mining Hyperclique Patterns with Confidence Pruning, January 2003).
  69. Jinmei Xu, Hui Xiong, Sam Y. Sung, and Vipin Kumar, A New Clustering  Algorithm for Transaction Data Via Caucus, in Proc. 2003 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2003), pp. 551-562, Korea 2003.
  70. Yan Huang, Hui Xiong, Shashi Shekhar, and Jian Pei, Mining Confident Co-location Rules without A Support Threshold, in Proc. 2003 ACM Symposium on Applied Computing (ACM SAC 2003), pp. 497-501, Melbourne, FL, March 2003.
  71. Hui Xiong, Sam Y. Sung, and S. Huang, Adapting the Right Web Pages to the Right Users, In Proc. of the First SPIE International Conference on Data Mining and Knowledge Discovery, USA, 2000.

Magazine Articles

  1. Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabady. Enhancing Security and Privacy in Traffic-Monitoring Systems, IEEE Pervasive Computing, Vol. 5, No. 4, pp. 38-46, Oct-Dec, 2006.
  2. Xiaojun Quan, Hui Xiong, Wenyu Dou, Liu Wenyin, Yong Ge. Link Graph Analysis for Business Site Selection, IEEE Computer, accepted, 2011.

Workshop Papers

  1. Yinglung Liang, Yanyong Zhang, Hui Xiong, and Ramendra K. Sahoo. An adaptive semantic filter for blue gene/l failure log analysis. In Proceedings of the Workshop on System Management Techniques, Processes and Services (SMTPS) in conjunction with the Twenty-first International Parallel and Distributed Processing Symposium (IPDPS 2007), pages 1 - 8, Long Beach, California, USA, March 26-30, 2007. IEEE.

Demo Papers

  1. Yong Ge, Chuanren Liu, Hui Xiong, A Taxi Business Intelligence System, the 17th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2011), to appear,2011.
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