Selected Publications:

2017

• Xuan Lu, Zhenpeng Chen, Xuanzhe Liu, Huoran Li, Tao Xie, and Qiaozhu Mei, PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors, in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), vol. 1, issue 3, pages 79:1--79:30, 2017
  
  
• Cheng Li, Jiaqi Ma, Xiaoxiao Guo, and Qiaozhu Mei, "DeepCas: an End-to-end Predictor of Information Cascades, " in Proceedings of the 26th International World Wide Web Conference (WWW'17), to appear. (17% acceptance)
  
  
• David A Hanauer, Danny T.Y. Wu, Lei Yang, Qiaozhu Mei, Katherine B. Murkowski-Steffy, V.G. Vinod Vydiswaran, and Kai Zheng, "Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine, " Journal of Biomedical Informatics, vol. 67, pages 1-10, 2017, doi:10.1016/j.jbi.2017.01.013.
  
  
• Xuanzhe Liu*, Wei Ai*, Huoran Li, Jian Tang, Gang Huang, and Qiaozhu Mei, "Derive User Preferences of Mobile Apps from their Management Activities," in ACM Transactions on Information Systems (TOIS) , in press.
  
  
• Cheng Li, Xiaoxiao Guo, and Qiaozhu Mei, "Deep Memory Networks for Attitude Identification, " in Proceedings of the 10th ACM international conference on Web search and data mining (WSDM'17), pages 671-680, 2017. (16% acceptance)
  
  

2016

• Wei Ai, Roy Chen, Yan Chen, Qiaozhu Mei, and Webb Phillips, "Recommending teams promotes prosocial lending in online microfinance, "in Proceedings of the National Academy of Sciences (PNAS), Proceedings of the National Academy of Sciences, vol. 113, no. 52, pages 14944-14948, 2016, doi:10.1073/pnas.1606085113.
  
  
• Yang Liu, Qiaozhu Mei, David A Hanauer, Kai Zheng, and Joyce Lee, "Use of Social Media in the Diabetes Community: An Exploratory Analysis of Diabetes-Related Tweets, " JMIR Diabetes, vol. 1, no. 2, e4, 2016, doi:10.2196/diabetes.6256.
  
  
• Yue Wang, Kai Zheng, Hua Xu, and Qiaozhu Mei, "Clinical Word Sense Disambiguation with Interactive Search and Classification," in American Medical Informatics Association Annual Symposium Proceedings (AMIA'16), 2016.
  
  
• Cheng Li, Paul Resnick, and Qiaozhu Mei, "Multiple Queries as Bandit Arms," in Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM'16), pp.1089-1098, 2016. (18% acceptance)
  
  
• Xuan Lu, Wei Ai, Xuanzhe Liu, Qian Li, Ning Wang, Gang Huang, and Qiaozhu Mei, "Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users," in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP'16), pp. 770-780, 2016.
  
  
• Jian Tang, Jingzhou Liu, Ming Zhang, and Qiaozhu Mei, "Visualizing Large-scale and High-dimensional Data," in Proceedings of the 25th international conference on World wide web (WWW'16), pp. 287-297, 2016. (Best Paper Nomination)
  
  
• Huoran Li, Wei Ai, Xuanzhe Liu, Jian Tang, Gang Huang, Feng Feng, and Qiaozhu Mei, "Voting with Their Feet: Inferring User Preferences from App Management Activities," in Proceedings of the 25th international conference on World wide web (WWW'16) (industry track), pp. 1351-1362, 2016.
  
  
• Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Dan Hao, Qiaozhu Mei, Gang Huang, and Feng Feng, "PRADA: Prioritizing Android Devices for Apps by Mining Large-Scale Usage Data," in Proceedings of The 38th International Conference on Software Engineering (ICSE'16), pp. 3-13, 2016. (19% acceptance)
  
  
• Yue Wang, Dawei Yin, Roger Jie Luo, Pengyuan Wang, Makoto Yamada, Yi Chang, and Qiaozhu Mei, "Beyond Ranking: Optimizing Whole-Page Presentation," in Proceedings of the 9th ACM international conference on Web search and data mining (WSDM'16), pp. 103-112, 2016. (Best Paper Award)
  
  
• Xin Rong, Zhe Chen, Qiaozhu Mei, and Eytan Adar, "EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion," in Proceedings of the 9th ACM international conference on Web search and data mining (WSDM'16), pp. 645-654, 2016. (18.2% acceptance)
  
  
• VS Subrahmanian et al., "The DARPA Twitter bot challenge," Computer, vol.49, pp.38-46, June 2016, doi:10.1109/MC.2016.183.
  
  

2015

• Jian Tang, Meng Qu, and Qiaozhu Mei, "PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks," in Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15), pp. 1165-1174, 2015. (19.4% acceptance)
  
  
• Cheng Li, Yue Lu, Qiaozhu Mei, Dong Wang, and Sandeep Pandey, "Click-through Prediction for Advertising in Twitter Timeline," in Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15), (industry track), pp. 1959-1968, 2015. (34.2% acceptance)
  
  
• Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, and Qiaozhu Mei, " LINE: Large-scale Information Network Embedding," in Proceedings of the 24th international conference on World wide web (WWW'15), pp. 1067 - 1077, 2015. (14.1% acceptance). Source Code: https://github.com/tangjianpku/LINE
  
  
• Zhe Zhao, Paul Resnick, and Qiaozhu Mei, "Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts," in Proceedings of the 24th international conference on World wide web (WWW'15), pp. 1395 - 1405, 2015. (14.1% acceptance)
  
  
• Samuel Carton, Souneil Park, Nicole Zeffer, Eytan Adar, Qiaozhu Mei, and Paul Resnick, "Audience Analysis for Competing Memes in Social Media," in the 9th International AAAI Conference on Web and Social Media (ICWSM'15), 2015. (19% acceptance)
  
  
• Danny T. Wu, David A. Hanauer, Qiaozhu Mei, Patty M. Clark, Lawrence C. An, Joshua Proulxe, Qing T. Zeng, Vinod Vydiswaran, Kevyn Collins-Thompson K, and Kai Zheng. "Assessing the readability of ClinicalTrials.gov," Journal of American Medical Informatics Association (2015), doi: 10.1093/jamia/ocv062.
  
  
• Huaiyu Wan, Marie-Francine Moens, Walter Luyten, Xuezhong Zhou, Qiaozhu Mei, Lu Liu, and Jie Tang. "Extracting relations from traditional chinese medicine literature via heterogeneous entity networks," Journal of American Medical Informatics Association (2015), doi: 10.1093/jamia/ocv092.
  
  
• Yukun Chen, Thomas A Lasko, Qiaozhu Mei, Joshua C Denny, and Hua Xu. "A study of active learning methods for named entity recognition in clinical text," Journal of Biomedical Informatics (2015), doi: 10.1016/j.jbi.2015.09.010.
  
  
• David A. Hanauer, Qiaozhu Mei, James Law, Ritu Khanna, and Kai Zheng, "Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE)," Journal of Biomedical Informatics (2015), http://dx.doi.org/10.1016/j.jbi.2015.05.003.
  
  
• Roy Chen, Yan Chen, Yang Liu, and Qiaozhu Mei, "Does team competition increase pro-social lending? Evidence from online microfinance," Games and Economic Behavior (2015), http://dx.doi.org/10.1016/j.geb.2015.02.001.
  
  

2014

• V.G.Vinod Vydiswaran, Qiaozhu Mei, David A. Hanauer, and Kai Zheng, "Mining consumer health vocabulary from community-generated text," in AMIA Annual Symposium Proceedings (AMIA'14). (Distinguished Paper Award)
  
  
• Jian Tang, Zhaoshi Meng, Xuanlong Nguyen, Qiaozhu Mei, and Ming Zhang, "Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis," in Proceedings of the 31st International Conference on Machine Learning (ICML'14), pp. 190-198, 2014. (Best Paper Award)
  
  
• Cheng Li, Yue Wang, Paul Resnick, and Qiaozhu Mei, "ReQ-ReC: High-Recall Retrieval with Rate-Limited Queries," in Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'14), pp. 163-172, 2014. (21% acceptance)
  
  
• Shoubin Kong, Qiaozhu Mei, Ling Feng, Fei Ye, and Zhe Zhao, "Predicting Bursts and Popularity of Hashtags in Real-Time," in Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'14), pp. 927-930, 2014. (short paper)
  
  
• David A Hanauer, Mohammed Saeed, Kai Zheng, Qiaozhu Mei, Kerby Shedden, Alan R Aronson, and Naren Ramakrishnan, "Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis," Journal of the American Medical Informatics Association (JAMIA), vol. 21, no. 5, pp. 925-937, 2014. (impact factor = 3.932)
  
  
• Tianyi Lin, Wentao Tian, Qiaozhu Mei, and Hong Cheng, "The dual-sparse topic model: mining focused topics and focused terms in short text," in Proceedings of the 23rd international conference on World wide web (WWW'14), pp. 539-550, 2014. (13% acceptance)
  
  
• VG Vinod Vydiswaran, Yang Liu, Kai Zheng, and Qiaozhu Mei, "User-Created Groups in Health Forums: What Makes Them Special?" in Eighth International AAAI Conference on Weblogs and Social Media (ICWSM'14), 2014. (23% acceptance)
  
  

2013

• Xin Rong and Qiaozhu Mei, "Diffusion of Innovations Revisited: from Social Network to Innovation Network," in Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM'13), pp. 499-508, 2013. (17% acceptance)
  
  
• David A. Hanauer, Qiaozhu Mei, Bradley Malin, and Kai Zheng, "Location Bias of Identifiers in Clinical Narratives," in AMIA Annual Symposium Proceedings (AMIA'13), pp. 560-569, 2013.
  
  
• Jian Tang, Ming Zhang, and Qiaozhu Mei, "One theme in all views: modeling consensus topics in multiple contexts," in Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'13), pp. 5-13, 2013. (17% acceptance)
  
  
• Tao Sun, Ming Zhang, and Qiaozhu Mei, "Unexpected relevance: an empirical study of serendipity in retweets," in Seventh International AAAI Conference on Weblogs and Social Media (ICWSM'13), 2013. (20% acceptance)
  
  
• Zhe Zhao and Qiaozhu Mei, "Questions about questions: an empirical analysis of information needs on Twitter," in Proceedings of the 22nd international conference on World Wide Web (WWW'13), pp. 1545-1556, 2013. (15% acceptance)
  
  
• Danny T.Y. Wu, David Hanauer, Qiaozhu Mei, Patricia M. Clark, Lawrence C. An, Jianbo Lei, Joshua Proulx, Qing Zeng-Treitler, and Kai Zheng, "Applying multiple methods to assess the readability of a large corpus of medical documents," in Proceedings of the 14th World Congress on Medical and Health Informatics (MEDINFO'13), pp. 647-651, 2013.
  
  
• Yukun Chen, Hongxin Cao, Qiaozhu Mei, Kai Zheng, and Hua Xu, "Applying active learning to supervised word sense disambiguation in MEDLINE," Journal of the American Medical Informatics Association (JAMIA), vol. 20, no. 5, pp. 1001-1006, 2013. (impact factor = 3.609)
  
  
• Yi Chang, Xuanhui Wang, Qiaozhu Mei, and Yan Liu, "Towards Twitter context summarization with user influence models," in Proceedings of the sixth ACM international conference on Web search and data mining (WSDM'13), pp. 527-536, 2013. (19% acceptance)

2012

• He, Jingrui, Hanghang Tong, Qiaozhu Mei, and Boleslaw Szymanski, "GenDeR: A Generic Diversified Ranking Algorithm," in Advances in Neural Information Processing Systems 25 (NIPS'12'), pp. 1151-1159, 2012. (25% acceptance)
  
  
• David Hanauer, Yang Liu, Qiaozhu Mei, Frank Manion, Ulysses Balis, and Kai Zheng, "Hedging their Mets: The Use of Uncertainty Terms in Clinical Documents and its Potential Implications when Sharing the Documents with Patients," in AMIA Annual Symposium Proceedings (AMIA'12), pp. 321-330, 2012.
  
  
• Lei Yang, Tao Sun, Ming Zhang, and Qiaozhu Mei, "We Know What @You #Tag: Does the Dual Role Affect Hashtag Adoption?," in Proceedings of the 21st International World Wide Web Conference (WWW'12), pp. 261-270, 2012. (12% acceptance)
  
  
• Yang Liu, Roy Chen, Yan Chen, Qiaozhu Mei, and Suzy Salib, "I Loan Because...": Understanding Motivations for Pro-Social Lending," in Proceedings of the fifth ACM International Conference on Web Search and Data Mining (WSDM'12), pp. 503-512, 2012. (20.7% acceptance)
  
  

2011

• Cindy Xide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, and Marina Danilevsky, "The Joint Inference of Topic Diffusion and Evolution in Social Communities," in Proceedings of the 2011 IEEE International Conference on Data Mining (ICDM'11), pp. 378-387, 2011. (12.9% acceptance)
  
  
• Lei Yang, Qiaozhu Mei, Kai Zheng, and David A. Hanauer, "Query Log Analysis of an Electronic Health Record Search Engine," in AMIA Annual Symposium Proceedings (AMIA'11), pp. 915-924, 2011.
  
  
• Kai Zheng, Qiaozhu Mei, Lei Yang, Frank J. Manion, Ulysses J. Balis, and David A. Hanauer, "Voice-Dictated versus Typed-in Clinician Notes: Linguistic Properties and the Potential Implications on Natural Language Processing," in AMIA Annual Symposium Proceedings (AMIA'11), pp. 1630-1638, 2011.
  
  
• Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, and Qiaozhu Mei, "Rumor has it: Identifying Misinformation in Microblogs," in Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP'11), pp. 1589-1599, 2011. (24% acceptance)
  
  
• Moushumi Sen Sarma, David Arcoleo, Radhika S. Khetani, Brant Chee, Xu Ling, Xin He, Jing Jiang, Qiaozhu Mei, ChengXiang Zhai, and Bruce Schatz, "BeeSpace Navigator: exploratory analysis of gene function using semantic indexing of biological literature," Nucleic Acids Research, vol. 39 (suppl 2), pp. W462-W469, 2011. (impact factor: 8.026)
  
  
• Pradeep Muthukrishnan, Dragomir Radev, and Qiaozhu Mei, "Simultaneous Similarity Learning and Feature-Weight Learning for Document Clustering," in Proceeding of the ACL TextGraphs-6 workshop, 2011.
  
  
• Daniel Zhou, Paul Resnick, and Qiaozhu Mei, "Classifying the Political Leaning of News Articles and Users from User Votes," in Fifth International Conference on Weblogs and Social Media (ICWSM 2011), pp. 417-424, 2011. (23% acceptance)
  
  
• Kai Zheng, Qiaozhu Mei, and David A. Hanauer, "Collaborative search in electronic health records," Journal of the American Medical Informatics Association (JAMIA), vol. 18, no. 3, pp. 282- 291, 2011. (impact factor: 3.609) Best Paper Selection, IMIA Yearbook of Medical Informatics 2012: Knowledge Representation and Management.
  
  

2010

• Yunliang Jiang, Cindy Xide Lin, and Qiaozhu Mei, "Context Comparison of Bursty Events in Web Search and Online Media," in Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (EMNLP'10), pp. 1077-1087, 2010. (25% acceptance).
  
  
• Pradeep Muthukrishnan, Dragomir R. Radev, and Qiaozhu Mei, ""Edge Weight Regularization over Multiple Graphs for Similarity Learning," in Proceedings of the 10th IEEE International Conference on Data Mining (ICDM'10), pp. 374-383, 2010. (9% acceptance).
  
  
• Yue Lu, Qiaozhu Mei, and ChengXiang Zhai, "Investigating Task Performance of Probabilistic Topic Models - An Empirical Study of PLSA and LDA," Information Retrieval, vol. 14, no. 2, pages 178-203, Springer, 2011. DOI: 10.1007/s10791-010-9141-9.
  
  
• Qiaozhu Mei, Jian Guo, and Dragomir Radev, "DivRank: the Interplay of Prestige and Diversity in Information Networks," in Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'10), pp. 1009-1018, 2010. (17% acceptance). [Summary | slides]
  
  
• Cindy Xide Lin, Bo Zhao, Qiaozhu Mei, and Jiawei Han, "PET: A Statistical Model for Popular Event Tracking in Social Communities," in Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'10), pp. 929-938, 2010. (17% acceptance). [Summary | slides]
  
  
• Duo Zhang, Qiaozhu Mei, and ChengXiang Zhai, "Cross-Lingual Latent Topic Extraction," in Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL'10), pp. 1128-1137, 2010. (25% acceptance).
  
  
• David A. Hanauer, Kai Zheng, Qiaozhu Mei, and Sung W. Choi, "Full-Text search in electronic health records: Challenges and opportunities," in: Kutais BG, ed. Internet Policies and Issues. Volume 7. Hauppauge, NY: Nova Science Publishers, 2010. ISBN: 978-1-61668-745-8.
  
  
• Kai Zheng, Qiaozhu Mei, and David A. Hanauer, "Patterns of Collaborative Search in Narrative Patient Care Documents Stored in Electronic Health Records," in the 2010 ACM Conference of Computer Supported Cooperative Work (CSCW 2010) workshop on CSCW Research in Healthcare, February, 2010.
  
  

2009

• Qiaozhu Mei, Kristina Klinkner, Ravi Kumar, and Andrew Tomkins, "An Analysis Framework for Search Sequences," in Proceedings of the 18th ACM International Conference on Information and Knowledge Management (CIKM'09), pp. 1991-1996, 2009. (short paper, 34.7% acceptance) [slides]
  
  
• Zhijun Yin, Rui Li, Qiaozhu Mei, and Jiawei Han, "Exploring social tagging graph for web object classification," in Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09), pp. 957-966, 2009. (18% acceptance) [slides]
  
  
• Ziyu Guan, Jiajun Bu, Qiaozhu Mei, Chun Chen, and Can Wang, "Personalized tag recommendation using graph-based ranking on multi-type interrelated objects," in Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'09), pp. 540-547, 2009. (16% acceptance) [slides]
  
  
• Tianyi Wu, Dong Xin, Qiaozhu Mei, and Jiawei Han, "Promotion Analysis in Multi-Dimensional Space," Proceedings of the VLDB Endowment (VLDB'09), vol. 2, no. 1, pp. 109-120, 2009. (18% acceptance) [slides]
  
  
• Mu Xia, ChengXiang Zhai, Bin Tan, Yue Lu, and Qiaozhu Mei, "You Are What You Write" --Understanding User Online Behavior through Text Mining," in CHI 2009 workshop of Social Mediating Technologies, 2009.
  
  

2008

• Qiaozhu Mei, Dengyong Zhou, and Kenneth Church, "Query Suggestion Using Hitting Time," in Proceedings of the 17th ACM International Conference on Information and Knowledge Management (CIKM'08) , pp. 469-478, 2008. (Acceptance = 17%) [slides]
  
  
• Deng Cai, Qiaozhu Mei, Jiawei Han, and ChengXiang Zhai, "Modeling Hidden Topics on Document Manifold," in Proceedings of the 17th ACM International Conference on Information and Knowledge Management (CIKM'08), pp. 911-920, 2008. (Acceptance = 17%)
  
  
• Xu Ling, Qiaozhu Mei, ChengXiang Zhai, and Bruce Schatz, "Mining Multi-Faceted Overviews of Arbitrary Topics in a Text Collection," in Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08), pp. 497-505, 2008. (20% acceptance) [slides]
  
  
• Qiaozhu Mei and Yi Zhang, "Automatic Web Tagging and Person Tagging Using Language Models," in Proceedings of the 4th International Conference of Advanced Data Mining and Applications (ADMA'08), pp. 741-748, 2008. (25.6% acceptance) [slides]
  
  
• Qiaozhu Mei, Duo Zhang, and ChengXiang Zhai, "A General Optimization Framework for Smoothing Language Models on Graph Structures," in Proceedings of the 31th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '08), pp. 611-618, 2008. (Acceptance = 17%) [slides]
  
  
• Qiaozhu Mei and ChengXiang Zhai, "Generating Impact-Based Summaries for Scientific Literature," in Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics (ACL '08), pp. 816-824, 2008. (Acceptance = 25%) [slides]
  
  
• Qiaozhu Mei, Deng Cai, Duo Zhang, and ChengXiang Zhai, "Topic Modeling with Network Regularization," in Proceedings of the 17th International World Wide Web Conference (WWW' 08) , pp. 101-100, 2008. (12% acceptance) [slides]
  
  
• Qiaozhu Mei and Kenneth Church, "Entropy of Search Logs: How Hard is Search? With Personalization? With Backoff?," in Proceedings of the International Conference on Web Search and Data Mining (WSDM'08), pp. 45-54, 2008. (Acceptance = 16%) [slides | video]
  
  

2007

• Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, and ChengXiang Zhai, "Semantic Annotation of Frequent Patterns," ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 1, no. 3, ACM, 2007. doi: 10.1145/1297332.1297335.
  
  
• Qiaozhu Mei, Xuehua Shen, and ChengXiang Zhai, "Automatic Labeling of Multinomial Topic Models," Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'07), pp. 490-499, 2007. (Acceptance = 8%) [slides | video] Runner-up Best Student Paper Award
  
  
• Qiaozhu Mei, Hui Fang, and ChengXiang Zhai, "A Study of Poisson Query Generation Model for Information Retrieval," in Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'07), pp. 319-326, 2007. (Acceptance = 17.5%) [slides]
  
  
• Qiaozhu Mei, Xu Ling, Mattew Wondra, Hang Su, and ChengXiang Zhai, "Topic Sentiment Mixture: Modeling Facets and Opinions in Weblogs," in Proceedings of the 16th International World Wide Web Conference (WWW'07), pp. 171-180, 2007. (Acceptance = 14.7%) [slides]
  
  
• Qiaozhu Mei, Jing Jiang, Hang Su, and ChengXiang Zhai, "Search and Tagging: Two Sides of the Same Coin?," Department of Computer Science Technical Report No. 2919, University of Illinois at Urbana-Champaign (UIUCDCS-R-2007-2919), 2007.
  
  
• Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, ChengXiang Zhai, and Bruce Schatz, "Generating Semi-Structured Gene Summaries from Biomedical Literature: A study of semi-structured summarization," Information Processing and Management (IP & M) 43, pp. 1777-1791, 2007.
  
  

2006

• Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, and ChengXiang Zhai, "Generating Semantic Annotations for Frequent Patterns with Context Analysis," in Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06), pp. 337-346, 2006. (Acceptance = 11%) [slides] Runner-up Best Student Paper Award
  
  
• Qiaozhu Mei and ChengXiang Zhai, "A Mixture Model for Contextual Text Mining," in Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06), pp. 649-655, 2006. (Acceptance = 23%)
  
  
• Dong Xin, Xuehua Shen, Qiaozhu Mei, and Jiawei Han, "Discovering Interesting Patterns Through User's Interactive Feedback," in Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'06), pp. 773-778, 2006. (Acceptance = 23%)
  
  
• Tao Tao, Xuanhui Wang, Qiaozhu Mei, and ChengXiang Zhai, "Language Model Information Retrieval with Document Expansion," in Proceedings of the Human Language Technology Conference/the North American Chapter of the Association for Computational Linguistics (HLT-NAACL'06), pp. 407-414, 2006. (Acceptance = 25%)
  
  
• Qiaozhu Mei, Chao Liu, Hang Su, and ChengXiang Zhai, "A Probabilistic Approach to Spatiotemporal Theme Pattern Mining on Weblogs," in Proceedings of the 15th International World Wide Web Conference (WWW' 06), pp. 533-542, 2006. (Acceptance = 11%) [slides]
  
  
• Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, ChengXiang Zhai, and Bruce Schatz, "Automatically Generating Gene Summaries from Biomedical Literature," in Proceedings of Pacific Symposium on Biocomputing 2006 (PSB'06), pp. 40-51, 2006.
  
  

2005

• Qiaozhu Mei and ChengXiang Zhai, "Discovering Evolutionary Theme Patterns from Text - An Exploration of Temporal Text Mining," in Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'05), pp. 198-207, 2005. (Acceptance = 12%) [slides | data]
  
  
• Tao Tao, Xuanhui Wang, Qiaozhu Mei, and ChengXiang Zhai, "Accurate Language Model Estimation with Document Expansion," in Proceedings of the 14th ACM International Conference on Information and Knowledge Management (CIKM'05), pp. 273-274, 2005.
  
  
• Bei Yu, Qiaozhu Mei, and ChengXiang Zhai, "English Usage Comparison between Native and non-Native English Speakers in Academic Writing," in Proceedings of 17th Joint Interna- tional Conference of the Association for Computers and the Humanities and the Association for Literary and Linguistic Computing (ACH/ALLC 2005), 2005.
  
  
• Hang Su and Qiaozhu Mei, "Template Extraction from Candidate Template Set Generation: A Structure and Content Approach," in Proceeding of the 43rd ACM Southeast Regional Conference (ACMSE' 05), vol. 2, pp. 211-216, 2005.
  
  

Prior to 2005

• Qiaozhu Mei and Junfeng Hu, "From Text to Exhibitions: A New Approach for E-Learning on Language and Literature based on Text Mining," in Proceeding of COLING 2004 Workshop "e-Learning for Computational Linguistics and Computational Linguistics for e-Learning, 2004.
  
  
• Qiaozhu Mei, "A Knowledge Processing Oriented Life Cycle Study from a Digital Museum System," in Proceeding of the 42rd ACM Southeast Regional Conference (ACMSE' 04), pp. 116-121, 2004.
  
  
• Qiaozhu Mei, "A Digital Museum of Ancient Chinese Poetry Art: Its Design, Realization and Related Researches on Computational Linguistics," in Literature and Information Science and Technology, pp. 219-262, Feng-Ju Lo, Ed. Taiwan Tsinghua University Press, 2004. ISBN: 957-28986-8-x. (a compressed version of Bachelor's Thesis, in Chinese)
  
  
• Qiaozhu Mei, "A Digital Museum of Ancient Chinese Poetry Art: Its Design, Realization and Related Researches on Computational Linguistics," Bachelor's Thesis, Peking University, 2003. (in Chinese)
  
  
• Junfeng Hu, Qiaozhu Mei, and Shiwen Yu, "Computer Assisted Archaeology Research on Tang and Song Poetry," in Literature and information Technology Workshop, City University of Hong Kong, 2003.
  
  
• Qiaozhu Mei and Junrong Shen, "A Knowledge Flow Driven E-Learning Architecture Design: What is its Stratification and How is it Personalized," in Proceedings of 2002 International Conference on Computers in Education (ICCE 2002), pp. 1307-1308, 2002. (Poster)
  
  

Qiaozhu Mei