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Journal Articles

·        Steven Loscalzo, Robert Wright, and Lei Yu. “Predictive Feature Selection for Genetic Policy Search”. Autonomous Agents and Multi-Agent Systems, 1-33, July 2014.

·        Yue Han and Lei Yu. “A Variance Reduction Framework for Stable Feature Selection”. Statistical Analysis and Data Mining, 5(5), 428-445, 2012.

·        Lei Yu, Yue Han, and Michael E Berens. "Stable Gene Selection from Microarray Data via Sample Weighting". IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9(1), 262-272, 2012. pdf

·        Lei Yu. "Feature Cluster Selection for High-Throughput Data Analysis". International Journal of Data Mining and Bioinformatics, 3(2), 177-191, 2009.

·        Michael E Berens, Huan Liu, Lance Parsons, Lei Yu, and Zheng Zhao. "Fostering Biological Relevancy in Feature Selection for Microarray Data". IEEE Intelligent Systems, 20(6), 29-32, 2005.

·        Huan Liu and Lei Yu. "Toward Integrating Feature Selection Algorithms for Classification and Clustering". IEEE Transactions on Knowledge and Data Engineering, 17(4), 491-502, 2005. pdf

·        Lei Yu and Huan Liu. "Efficient Feature Selection via Analysis of Relevance and Redundancy". Journal of Machine Learning Research, 5(Oct), 1205-1224, 2004. pdf

·        Huan Liu, Hiroshi Motoda, and Lei Yu. "A Selective Sampling Approach to Active Feature Selection". Artificial Intelligence, 159(1-2), 49-74, 2004. pdf

Conference Papers

·        Robert Wright, Xingye Qiao, Steven Loscalzo, and Lei Yu. "CFQI: Fitted Q-Iteration with Complex Returns". In Proceedings of the Fourteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-15), to appear, Istanbul, Turkey, May 2015. (full paper)

·        Robert Wright, Xingye Qiao, Steven Loscalzo, and Lei Yu. "Improving Approximate Value Iteration with Complex Returns by Bounding". In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), to appear, Austin, TX, January 2015. (full paper, plenary presentation)

·        Robert Wright, Steven Loscalzo, Philip Dexter, and Lei Yu. "Exploiting Multi-Step Sample Trajectories for Approximate Value Iteration". In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pages 113-128, Prague, Czech Republic, September, 2013. (Best Paper Award)

·        Steven Loscalzo, Kevin Acunto, Robert Wright and Lei Yu. "Progressive Mining of Transition Dynamics for Autonomous Control ". In Proceedings of the IEEE International Conference on Data Mining (ICDM ’12), pages 990-995, Brussels, Belgium, December, 2012

·        Steven Loscalzo, Robert Wright, Kevin Acunto, and Lei Yu. "Sample Aware Embedded Feature Selection for Reinforcement Learning". In Proceedings of the ACM SIGEVO 14th Annual Genetic and Evolutionary Computation Conference (GECCO ’12), pages 887-894, Philadelphia, PA, July, 2012

·        Robert Wright, Steven Loscalzo, and Lei Yu. "Embedded Incremental Feature Selection for Reinforcement Learning". In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (ICAART-11), pages 263-268, Rome, Italy, January, 2011.

·        Yue Han and Lei Yu. "A Variance Reduction Framework for Stable Feature Selection". In Proceedings of the 10th International Conference on Data Mining (ICDM-10), pages 206-215, Sydney, Australia, December, 2010. pdf

·        Yue Han and Lei Yu. "Margin Based Sample Weighting for Stable Feature Selection". In Proceedings of the 11th International Conference on Web-Age Information Management (WAIM-10), pages 680-691, Jiuzhaigou, China, July, 2010.

·        Gokhan Gulgezen, Zehra Cataltepe, and Lei Yu. "Stable and Accurate Feature Selection". In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), pages, 455-468, Bled, Slovenia, September, 2009. pdf

·        Steven Loscalzo, Lei Yu, and Chris Ding. "Consensus Group Based Stable Feature Selection". In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-09), pages 567-576, Paris, France, June, 2009. pdf    Software

·        Liangcai Shu, Jinhui Wu, Lei Yu, and Weiyi Meng. "Kernel-Based Transductive Learning with Nearest Neighbors." In Proceedings of the Joint International Conferences on Asia-Pacific Web Conference (APWeb) and Web-Age Information Management (WAIM), pages 345-356, Suzhou, China, April, 2009. (Best Student Paper Runner Up) pdf

·        Lei Yu, Chris Ding, and Steven Loscalzo. "Stable Feature Selection via Dense Feature Groups". In Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-08), pages 803-811, Las Vegas, NV, August, 2008.  pdf

·        Ryan Levering, Michal Cutler, and Lei Yu. "Using Visual Features for Fine-Grained Genre Classification of Web Pages". In Proceedings of the Hawaii International Conference on System Sciences (HICSS), 131-140, Big Island, HI, January, 2008.

·        Lei Yu and Hao Li. "Toward Optimal Selection of Feature Clusters". In Proceedings of the International Conference on Machine Learning and applications (ICMLA-07), 417-422, Cincinnati, OH, December, 2007.

·        Lei Yu and Hao Li. "Feature Cluster Selection for High-Throughput Data Analysis". In Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM-07), pages 9-14, Fremont, CA, November, 2007.

·        Kelvin Wu, Lei Yu, and Michal Cutler. "Towards Answering 'how do I' Questions Using Classification". In Proceedings of the IEEE International Symposium on Data Mining and Information Retrieval (DMIR-07), 266-271, Ontario, Canada, May, 2007.

·        Lei Yu, Chitta Baral, Seungchan Kim, Jessica L Rennert, Dominique Hoelzinger, Michael E Berens, and Huan Liu. "Discriminative Gene Selection for Brain Tumor Migration". Pacific Symposium on Biocomputing (PSB), Big Island, HI, January, 2005. (poster)

·        Lei Yu and Huan Liu. "Redundancy Based Feature Selection for Microarray Data". In Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-04), pages 737-742, Seattle, WA, August, 2004.  pdf

·        Lei Yu and Huan Liu. "Efficiently Handling Feature Redundancy in High-Dimensional Data". In Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-03), pages 685-690, Washington, D.C., August, 2003.  pdf

·        Lei Yu and Huan Liu. "Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution". In Proceedings of the Twentieth International Conference on Machine Leaning (ICML-03), pages 856-863, Washington, D.C., August, 2003.  pdf

·        Huan Liu, Hongjun Lu, and Lei Yu. "Active Sampling: An Effective Approach to Feature Selection". In Proceedings of the Third SIAM International Conference on Data Mining, pages 244-248, San Francisco, CA, May, 2003. pdf

·        Huan Liu, Lei Yu, Manoranjan Dash, and Hiroshi Motoda. "Active Feature Selection Using Classes". In Proceedings of the Seventh Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-03), pages 474-485, Seoul, Korea, May, 2003. pdf

·        Huan Liu, Hiroshi Motoda, and Lei Yu. "Feature Selection with Selective Sampling". In Proceedings of the Nineteenth International Conference on Machine Learning (ICML-02), pages 395-402, Sydney, Australia, July, 2002. pdf

Book Chapters

·        Lei Yu. "Feature Selection for Genomic Data Analysis". In H. Liu, editor, Computational Methods for Feature Selection, Chapman and Hall/CRC Press, 2007.

·        Lei Yu and Huan Liu. "Data Mining Methods for Microarray Data Analysis". In John Wang, editor, Encyclopedia of Data Warehousing and Mining, Idea Group, 2005.

·        Huan Liu and Lei Yu. "Instance Selection". In John Wang, editor, Encyclopedia of Data Warehousing and Mining, Idea Group, 2005.

·        Huan Liu, Lei Yu, and Hiroshi Motoda. "Feature Extraction, Selection, and Construction". In Nong Ye, editor, The Handbook of Data Mining, pages 409-423. Lawrence Erlbaum Associates, 2003.

Technical Reports

  • Lei Yu, Jessica L Rennert, Huan Liu, and Michael E Berens. "Exploiting Statistical Redundancy in Expression Microarray Data to Foster Biological Relevancy". ASU CSE Technical Report # TR-05-005, July 2005. pdf