Zhu, Z., Zhu, X., Guo, Y., Ye, Y. & Xue, X. 2012, 'Inverse matrix-free incremental proximal support vector machine', Decision Support Systems, vol. 53, no. 3, pp. 395-405.
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He, D., Zhu, X. & Wu, X. 2011, 'Mining Approximate Repeating Patterns From Sequence Data With Gap Constraints', Computational Intelligence, vol. 27, no. 3, pp. 336-362.
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Sun, D., Liu, L., Zhang, P., Zhu, X. & Shi, Y. 2011, 'Decision Rule Extraction For Regularized Multiple Criteria Linear Programming Model', International Journal of Data Warehousing and Mining, vol. 7, no. 3, pp. 88-101.
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Zhang, P., Zhu, X., Shi, Y., Guo, L. & Wu, X. 2011, 'Robust Ensemble Learning For Mining Noisy Data Streams', Decision Support Systems, vol. 50, no. 2, pp. 469-479.
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Zhang, Y., Zhu, X., Wu, X. & Bond, J. 2011, 'Corrective Classification: Learning From Data Imperfections With Aggressive And Diverse Classifier Ensembling', Information Systems, vol. 36, no. 8, pp. 1135-1157.
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Zhu, X. 2011, 'Cross-domain Semi-supervised Learning Using Feature Formulation', IEEE Transactions On Systems, Man, And Cybernetics, Part B: Cybernetics, vol. 41, no. 6, pp. 1627-1638.
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Zhu, X., Ding, W., Yu, P.s. & Zhang, C. 2011, 'One-class learning and concept summarization for data streams', Knowledge And Information Systems, vol. 28, no. 3, pp. 523-553.
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Zhu, X., Li, B., Wu, X., He, D. & Zhang, C. 2011, 'CLAP: Collaborative pattern mining for distributed information systems', Decision Support Systems, vol. 52, no. 1, pp. 40-51.
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Kamal, A.H., Zhu, X., Pandya, A., Hsu, S. & Narayanan, R. 2010, 'Feature Selection For Datasets With Imbalanced Class Distributions', International Journal Of Software Engineering And Knowledge Engineering, vol. 20, no. 2, pp. 113-137.
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Zhang, P., Zhu, X., Zhang, Z. & Shi, Y. 2010, 'Multiple criteria programming models for VIP E-Mail behavior analysis', Web Intelligence and Agent Systems-An international journal, vol. 8, no. 1, pp. 69-78.
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Zhu, X., Zhang, P., Lin, X. & Shi, Y. 2010, 'Active Learning From Stream Data Using Optimal Weight Classifier Ensemble', Ieee Transactions On Systems Man And Cybernetics Part B-Cybernetics, vol. 40, no. 6, pp. 1607-1621.
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Zhu, Z.H., Guo, Y., Zhu, X. & Xue, X. 2010, 'Normalized Dimensionality Reduction Using Nonnegative Matrix Factorization', Neurocomputing, vol. 73, no. 10-12, pp. 1783-1793.
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Jiang, X. & Zhu, X. 2009, 'vEye: behavioral footprinting for self-propagating worm detection and profiling', Knowledge And Information Systems, vol. 18, no. 2, pp. 231-262.
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Wu, X., Zhu, X., Chen, Q. & Wang, F. 2009, 'Ubiquitous Mining with Interactive Data Mining Agents', Journal Of Computer Science And Technology, vol. 24, no. 6, pp. 1018-1027.
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Chen, G., Wu, X. & Zhu, X. 2008, 'Mining sequential patterns across time sequences', New Generation Computing, vol. 26, no. 1, pp. 75-96.
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Wu, X. & Zhu, X. 2008, 'Mining with noise knowledge: Error-aware data mining', IEEE Transactions on Systems, Man and Cybernetics (Part A), vol. 38, no. 4, pp. 917-932.
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Yang, Y., Wu, X. & Zhu, X. 2008, 'Conceptual equivalence for contrast mining in classification learning', Data & Knowledge Engineering, vol. 67, no. 3, pp. 413-429.
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Zhu, X. & Yang, Y. 2008, 'A lazy bagging approach to classification', Pattern Recognition, vol. 41, no. 10, pp. 2980-2992.
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Mao, G., Wu, X., Zhu, X., Chen, G. & Liu, C. 2007, 'Mining Maximal Frequent Itemsets From Data Streams', Journal of Information Science, vol. 33, no. 3, pp. 251-262.
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Chen, G., Wu, X., Zhu, X., Arslan, A. & He, Y. 2006, 'Efficient String Matching With Wildcards And Length Constraints', Knowledge And Information Systems, vol. 10, no. 4, pp. 399-419.
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Yang, Y., Wu, X. & Zhu, X. 2006, 'Mining In Anticipation For Concept Change: Proactive-Reactive Prediction In Data Streams', Data Mining And Knowledge Discovery, vol. 13, no. 3, pp. 261-289.
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Zhu, X., Wu, X. & Chen, Q. 2006, 'Bridging Local And Global Data Cleansing: Identifying Class Noise In Large, Distributed Data Datasets', Data Mining and Knowledge Discovery, vol. 12, no. 2-3, pp. 275-308.
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Zhu, X. & Wu, X. 2006, 'Class Noise Handling For Effective Cost-Sensitive Learning By Cost-Guided Iterative Classification Filtering', IEEE Transactions On Knowledge And Data Engineering, vol. 18, no. 10, pp. 1435-1440.
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Zhu, X., Wu, X. & Yang, Y. 2006, 'Effective Classification Of Noisy Data Streams With Attribute-Oriented Dynamic Classifier Selection', Knowledge And Information Systems, vol. 9, no. 3, pp. 339-363.
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Zhu, X. & Wu, X. 2005, 'Cost-Constrained Data Acquisition For Intelligent Data Preparation', IEEE Transactions On Knowledge And Data Engineering, vol. 17, no. 11, pp. 1542-1556.
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Zhu, X., Elmagarmid, A., Xue, X., Wu, L. & Catlin, A. 2005, 'Insight Video: Toward Hierarchical Video Content Organization For Efficient Browsing, Summarization And Retrieval', IEEE Transactions On Multimedia, vol. 7, no. 4, pp. 648-666.
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Zhu, X., Wu, X., Elmagarmid, A., Feng, Z. & Wu, L. 2005, 'Video Data Mining: Semantic Indexing And Event Detection From The Association Perspective', IEEE Transactions On Knowledge And Data Engineering, vol. 17, no. 5, pp. 665-677.
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Fang, M., Zhu, X., Zhang, C. 2012, 'Active Learning from Oracle with Knowledge Blind Spot', Toronto, Ontario, Canada, July 2012 in Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, ed Jorg, H; Bart,S., AAAI Press, Toronto, Canada, pp. 2421-2422.

Fang, M. & Zhu, X. 2012, 'I Don't Know the Label: Active Learning with Blind Knowledge', International Conference on Pattern Recognition, Tsukuba, Japan, November 2012 in Proc. Of the 21st International Conference on Pattern Recognition (ICPR-12), ed Noboru Babaguchi, Rita Cucchiara, Qiang Ji, IEEE, Piscataway, USA, pp. 2238-2241.

Fang, M., Zhu, X., Li, B., Ding, W. & Wu, X. 2012, 'Self-Taught Active Learning from Crowds', IEEE International Conference on Data Mining, Brussels, Belgium, December 2012 in 12th IEEE International Conference on Data Mining, ICDM 2012, ed Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu, IEEE Computer Society, CA, USA, pp. 858-863.
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Li, B., Zhu, X., Chi, L., Zhang, C. 2012, 'Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams', 2012 IEEE 12th International Conference on Data Mining, Brussels, Belgium, December 2012 in 12th IEEE International Conference on Data Mining, ICDM 2012, ed Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu, IEEE Computer Society, CA, USA, pp. 399-408.
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Long, G., Chen, L., Zhu, X. & Zhang, C. 2012, 'TCSST: transfer classification of short & sparse text using external data', ACM Conference on Information and Knowledge Management, Hawaii, USA, October 2012 in Proc. Of The 21st ACM Conference on Information and Knowledge Management (CIKM-12), ed Xue-wen Chen, Guy Lebanon, Mohammed Zaki, Haixun Wang, ACM, USA, pp. 764-772.
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Long, G., Chen, L., Zhu, X., Zhang, C. 2012, 'TCSST: transfer classification of short & sparse text using external data', Maui, HI, USA, October 2012 in Proceedings of the 21st ACM international conference on Information and knowledge management, ed Xue-wen Chen, Guy Lebanon, Haixun Wang, Mohammed J. Zaki, ACM, New York, NY, USA, pp. 764-772.

Pan, S. & Zhu, X. 2012, 'CGStream: Continuous Correlated Graph Query for Data Streams', ACM Conference on Information and Knowledge Management, Hawaii, USA, October 2012 in Proc. Of The 21st ACM Conference on Information and Knowledge Management (CIKM-12), ed Xue-wen Chen, Guy Lebanon, Mohammed Zaki, Haixun Wang, ACM, USA, pp. 1183-1192.
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Pan, S. & Zhu, X. 2012, 'Continuous Top-k Query for Graph Streams', CIKM 2012, Hawaii, USA, October 2012 in Proc. Of The 21st ACM Conference on Information and Knowledge Management (CIKM-12), ed Xue-wen Chen, Guy Lebanon, Mohammed Zaki, Haixun Wang,Wolfgang Gatterbauer, ACM, ACM, pp. 2659-2662.

Pan, S., Zhu, X. & Fang, M. 2012, 'Top-k Correlated Subgraph Query for Data Streams', International Conference on Pattern Recognition, Tsukuba, Japan, November 2012 in 2012 21st International Conference on Pattern Recognition (ICPR), ed NA, IEEE Computer society, Piscataway, USA, pp. 2906-2909.

Zhu, Z., Zhu, X., Ye, Y., Gua, Y. & Xue, X. 2012, 'Parallel Proximal Support Vector Machine for High-dimensional Pattern Classification', ACM Conference on Information and Knowledge Management, Hawaii, USA, October 2012 in Proc. Of The 21st ACM Conference on Information and Knowledge Management (CIKM-12), ed Xue-wen Chen, Guy Lebanon, Mohammed Zaki, Haixun Wang, ACM, USA, pp. 2351-2354.
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Fu, Y., Li, B., Zhu, X. & Zhang, C. 2011, 'Do they belong to the same class: active learning by querying pairwise label homogeneity', ACM international conference on Information and knowledge managemen, Glasgow, Scotland, October 2011 in CIKM '11 Proceedings of the 20th ACM international conference on Information and knowledge management, ed NA, ACM, USA, pp. 2161-2164.
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Fu, Y. & Zhu, X. 2011, 'Optimal Subset Selection for Active Learning', National Conference of the American Association for Artificial Intelligence, San Francisco, California, USA, August 2011 in Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, ed Wolfram Burgard, Dan Roth, AAAI Press, USA, pp. 1776-1777.

He, D., Zhu, X. & Stott Parker, D. 2011, 'How Does Research Evolve? Pattern Mining for Research Meme Cycles', International Conference on Data Mining (ICDM), Vancouver, BC, December 2011 in 2011 IEEE 11th International Conference on Data Mining (ICDM), ed NA, IEEE, Piscataway, USA, pp. 1068-1073.
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Li, B., Zhu, X., Li, R., Zhang, C., Xue, X. & Wu, X. 2011, 'Cross-Domain Collaborative Filtering over Time.', International Joint Conference on Artificial Intelligence, Barcelona, Catalonia, Spain, August 2011 in Proceedings of the 22nd International Joint Conference on Artificial Intelligence, ed Toby Walsh, AAAI Press, California, US, pp. 2293-2298.
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Li, R., Li, B., Jin, C., Xue, X. & Zhu, X. 2011, 'Tracking User-Preference Varying Speed in Collaborative Filtering', National Conference of the American Association for Artificial Intelligence, San Francisco, California, August 2011 in The 25th AAAI Conf. on Artificial Intelligence, ed Wolfram Burgard; Dan Roth, AAAI Press, Menlo Park, California, pp. 133-138.

Liang, G., Zhu, X. & Zhang, C. 2011, 'An Empirical Study of Bagging Predictors for Different Learning Algorithms', National Conference of the American Association for Artificial Intelligence, San Francisco, California, US, August 2011 in Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, ed Wolfram Burgard, Dan Roth, AAAI Press, California, US, pp. 1802-1803.
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Liang, G., Zhu, X. & Zhang, C. 2011, 'An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution', Australasian Joint Conference on Artificial Intelligence, Perth, Australia, December 2011 in AI 2011: Advances in Artificial Intelligence, ed Wang, Dianhui; Reynolds, Mark, Springer-Verlag Berlin / Heidelberg, Berlin/Heidelberg, pp. 213-222.
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Wu, H., Qu, G. & Zhu, X. 2011, 'Self-adjust Local Connectivity Analysis for Spectral Clustering', Advances in Knowledge Discovery and Data Mining, Shenzhen, China, May 2011 in Lecture Notes in Computer Science: Advances in Knowledge Discovery and Data Mining:15th Pacific-Asia Conference, PAKDD 2011, Part I, ed J.Z. Huang, L. Cao, and J. Srivastava, Springer, The Netherlands, pp. 209-224.
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Zhang, P., Gao, B.J., Zhu, X. & Guo, L. 2011, 'Enabling fast lazy learning for data streams', International Conference on Data Mining (ICDM), Vancouver, BC, December 2011 in 2011 IEEE 11th International Conference on Data Mining (ICDM), ed NA, IEEE, Piscataway, USA, pp. 932-941.
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Zhu, Z., Zhu, X., Ye, Y., Gua, Y. & Xua, X. 2011, 'Transfer active learning', ACM international conference on Information and knowledge management, Glasgow, Scotland, October 2011 in CIKM '11 Proceedings of the 20th ACM international conference on Information and knowledge management, ed NA, ACM, USA, pp. 2169-2172.
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Lu, Z., Wu, X., Zhu, X. & Bongard, J. 2010, 'Ensemble Pruning via Individual Contribution Ordering', ACM SIGKDD International Conference on Knowledge Discovery and Data, Washington, DC, USA, July 2010 in Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ed Programme Technical Committee, ACM, USA, pp. 871-880.
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Zhang, P., Zhu, X., Tan, J. & Guo, L. 2010, 'SKIF: A Data Imputation Framework for Concept Drifting Data Streams', ACM Conference on Information and Knowledge Managem, Toronto, Ontario, Canada, October 2010 in Proceedings of the 19th ACM Conference on Information and Knowledge Management & Co-Located Workshops (CIKM 2010), ed Xiangji Jimmy Huang, Gareth Jones, Nick Koudas, Xindong Wu, & Kevyn Collins-Thompson, ACM, USA, pp. 1869-1872.
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Zhu, Z., Zhu, X., Gua, Y. & Xua, X. 2010, 'Transfer Incremental Learning for Pattern Classification', ACM Conference on Information and Knowledge Managem, Toronto, Ontario, Canada, October 2010 in Proceedings of the 19th ACM Conference on Information and Knowledge Management & Co-Located Workshops (CIKM 2010), ed Xiangji Jimmy Huang, Gareth Jones, Nick Koudas, Xindong Wu, & Kevyn Collins-Thompson, ACM, USA, pp. 1709-1712.
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He, D., Zhu, X. & Wu, X. 2009, 'Approximate Repeating Pattern Mining with Gap Requirements', IEEE International Conference on Tools with Artificial Intelligence, Newark, USA, November 2009 in Proc. of the 21st IEEE International Conference on Tools with Artificial Intelligence (ICTAI-09), ed Lisa O'Conner, IEEE Computer Society, Washington DC, USA, pp. 17-24.
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He, D., Zhu, X. & Wu, X. 2009, 'Error Detection and Uncertainty Modeling for Imprecise Data', IEEE International Conference on Tools with Artificial Intelligence, Newark, New Jersey, USA, November 2009 in Proc. of the 21st IEEE International Conference on Tools with Artificial Intelligence (ICTAI-09), ed Lisa O'Conner, IEEE Computer Society, Washington, DC, USA, pp. 792-795.
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Kamal, A.H., Zhu, X., Pandya, A. & Hsu, S. 2009, 'Feature Selection with Biased Sample Distributions', IEEE International Conference on Information Reuse, Las Vegas, USA, August 2009 in Proc. of the IEEE International Conference on Information Reuse (IRI-09), ed Reda, Alhajj; Kang, Zhang;, IEEE Computer Society, Washington, DC, USA, pp. 23-28.
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Zhang, P., Zhu, X. & Guo, L. 2009, 'Mining Data Streams with Labeled and Unlabeled Training Examples', IEEE International Conference on Data Mining, Miami, Florida, December 2009 in Proceedings of the 9th IEEE International Conference on Data Mining (ICDM-09), ed Wei, Wang; Hillol, Kargupta; Sanjay, Ranka; Philip S. Yu; Xindong, Wu;, IEEE Computer Society, Washington, DC, USA, pp. 627-636.
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Zhu, X. & Jin, R. 2009, 'Multiple Information Sources Cooperative Learning', International Joint Conference on Artificial Intelligence, California, USA, July 2009 in Proceedings of the 21st international jont conference on Artificial intelligence(IJCAI-09), ed Hiroaki Kitano, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, pp. 1369-1375.
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Zhu, X., Wu, X. & Zhang, C. 2009, 'Vague One-Class Learning for Data Streams', IEEE International Conference on Data Mining, Miami, Florida, December 2009 in Proceedings of the 9th IEEE International Conference on Data Mining (ICDM-09), ed Wei, Wang; Hillol, Kargupta; Sanjay, Ranka; Philip S. Yu; Xindong, Wu;, IEEE Computer Society, Washington, DC, USA, pp. 657-666.
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Zhu, X., Zhang, P., Wu, X., He, D., Zhang, C., Shi, Y. 2008, 'Cleansing Noisy Data Streams', IEEE International Conference on Data Mining, Pisa, Italy, December 2008 in 2008 Eighth IEEE International Conference on Data Mining, ed Fosca Giannotti; Dimitrios Gunopulos; Franco Turini; Carlo Zaniolo; Naren Ramakrishnan; Xindong Wu, IEEE Computer Society, Los Alamitos, USA, pp. 1139-1144.
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