I am associated with the Text Information Management (TIMAN) group and the DAIS group.

I have a broad interest in real world problems related to text information management. My primary research interests include Information Retrieval and Text Mining, with broad applications on web, scientific literature, and other genres of textual data. I am also interested in Data Mining, Machine Learning, and Natural Language Processing. Please click here to read more about my research.

• 2007-2008 Yahoo! PhD Student Fellowship ( News from the Department )
• ACM KDD 2007 Runner-Up Best Student Paper Award
• ACM KDD 2006 Runner-Up Best Student Paper Award
• C. L. and Jane Liu Award, University of Illinois at Urbana-Champaign (2007)
• Roy J. Carver Fellowship, University of Illinois at Urbana-Champaign (2004)
• University Graduate Fellowship, Vanderbilt University (2003)

• Program Commettee: SIGIR 2008, WWW 2008~2009, ECDM 2007~2008, CIKM 2008, ACL Student Research Workshop 2008
• Reviewer: TKDE, TOIS, IJDWM, TWEB
• Coordinator of the Yahoo!-Dais Seminar, University of Illinois at Urbana-Champaign

• Qiaozhu Mei, Dengyong Zhou, Kenneth Church. Query Suggestion Using Hitting Time, Proceedings of the 16th ACM International Conference on Information and Knowledge Management (CIKM'08). To appear. [pdf] [slides] (Acceptance = 17%)
  
  
• Qiaozhu Mei, Duo Zhang, ChengXiang Zhai. A General Optimization Framework for Smoothing Language Models on Graph Structures, Proceedings of the 31th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '08). To appear. [pdf] [slides] (Acceptance = 17%)
  
  
• Qiaozhu Mei, ChengXiang Zhai. Generating Impact-Based Summaries for Scientific Literature, Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics (ACL '08), pages 816-824, 2008. [pdf] [slides] (Acceptance = 25%)
  
  
• Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai. Topic Modeling with Network Regularization, Proceedings of the 17th International World Wide Web Conference (WWW' 08), pages 101-100, 2008. [pdf] [slides]
  
  
• Qiaozhu Mei, Kenneth Church. Entropy of Search Logs: How Hard is Search? With Personalization? With Backoff?, The First ACM International Conference on Web Search and Data Mining (WSDM'08 ), pages 45-54, 2008. [pdf] [slides] [video] (Acceptance = 16%)
  
  
• Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, ChengXiang Zhai. Semantic Annotation of Frequent Patterns, ACM Transactions on Knowledge Discovery from Data (TKDD), 1(3), 2007. [preprint]
  
  
• Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai. Automatic Labeling of Multinomial Topic Models, Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD' 07), pages 490-499, 2007. [pdf] [slides] [video] (Acceptance = 19%)
  Runner-up Best Student Paper Award
  
  
• Qiaozhu Mei, Hui Fang, ChengXiang Zhai. A Study of Poisson Query Generation Model for Information Retrieval, Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '07), pages 319-326, 2007. [pdf] [slides] (Acceptance = 17.5%)
  
  
• Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, ChengXiang Zhai. Topic Sentiment Mixture: Modeling Facets and Opinions in Weblogs, Proceedings of the 16th International World Wide Web Conference (WWW' 07), pages 171-180, 2007. [pdf] [slides] [data] (Acceptance = 14.7%)
  
  
• Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, ChengXiang Zhai. Generating Semantic Annotations for Frequent Patterns with Context Analysis, Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD' 06), pages 337-346, 2006. [pdf] [slides] (Acceptance = 11%)       Runner-up Best Student Paper Award
  
  
• Qiaozhu Mei, ChengXiang Zhai. A Mixture Model for Contextual Text Mining, Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD' 06), pages 649-655, 2006. [pdf] (Acceptance = 23%)
  
  
• Qiaozhu Mei, Chao Liu, Hang Su, and ChengXiang Zhai, A Probabilistic Approach to Spatiotemporal Theme Pattern Mining on Weblogs, Proceedings of the 15th International World Wide Web Conference (WWW'06), pages 533-542, 2006. [pdf] [slides] (Acceptance = 11%)
  
  
• Qiaozhu Mei, ChengXiang Zhai, Discovering Evolutionary Theme Patterns from Text - An Exploration of Temporal Text Mining, Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD' 05), pages 198-207, 2005   [pdf] [slides] [data] (Acceptance = 12%)