Publications

[ 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 ]

2016

• “Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users,” Xuan Lu, Wei Ai, Xuanzhe Liu, Qian Li, Ning Wang, Gang Huang, and Qiaozhu Mei, in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp’16), pp. 770-780, 2016.
• “The DARPA Twitter bot challenge,” VS Subrahmanian et al., Computer, vol. 49, pp. 38-46, June 2016, doi:10.1109/MC.2016.183.
• “Visualizing Large-scale and High-dimensional Data,” Jian Tang, Jingzhou Liu, Ming Zhang, and Qiaozhu Mei, in Proceedings of the 25th international conference on World wide web (WWW’16), pp. 287-297, 2016. (Best Paper Nomination)
• “Voting with Their Feet: Inferring User Preferences from App Management Activities,” Huoran Li, Wei Ai, Xuanzhe Liu, Jian Tang, Gang Huang, Feng Feng, and Qiaozhu Mei, in Proceedings of the 25th international conference on World wide web (WWW’16) (industry track), pp. 1351-1362, 2016.
• “PRADA: Prioritizing Android Devices for Apps by Mining Large-Scale Usage Data,” Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Dan Hao, Qiaozhu Mei, Gang Huang, and Feng Feng, in Proceedings of The 38th International Conference on Software Engineering (ICSE’16), pp. 3-13, 2016. (19% acceptance)
• “Beyond Ranking: Optimizing Whole-Page Presentation,” Yue Wang, Dawei Yin, Roger Jie Luo, Pengyuan Wang, Makoto Yamada, Yi Chang, and Qiaozhu Mei,  in Proceedings of the 9th ACM international conference on Web search and data mining (WSDM’16), pp. 103-112, 2016. (18.2% acceptance, Best Paper Award)
• “EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion, “ Xin Rong, Zhe Chen, Qiaozhu Mei, and Eytan Adar,  in Proceedings of the 9th ACM international conference on Web search and data mining (WSDM’16), pp. 645-654, 2016. (18.2% acceptance)

2015

• “PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks,” Jian Tang, Meng Qu, and Qiaozhu Mei, in Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’15), pp. 1165-1174, 2016.
• “Click-through Prediction for Advertising in Twitter Timeline,” Cheng Li, Yue Lu, Qiaozhu Mei, Dong Wang, and Sandeep Pandey,  in Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’15), (industry track), pp. 1959-1968, 2016.
• “LINE: Large-scale Information Network Embedding,”Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, and Qiaozhu Mei,  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
• “Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts,” Zhe Zhao, Paul Resnick, and Qiaozhu Mei,  in Proceedings of the 24th international conference on World wide web (WWW’15), pp. 1395-1405, 2015. (14.1% acceptance)
• “Improving User Topic Interest Profiles by Behavior Factorization,” Zhe Zhao, Zhiyuan Cheng, Lichan Hong, Ed Chi, in Proceedings of the 24th international conference on World wide web (WWW’15), pp. 1406-1416, 2015. (14.1% acceptance)
• “Audience Analysis for Competing Memes in Social Media,” Samuel Carton, Souneil Park, Nicole Zeffer, Eytan Adar, Qiaozhu Mei, and Paul Resnick,  in the 9th International AAAI Conference on Web and Social Media (ICWSM’15), 2015. (19% acceptance)
• “Assessing the readability of ClinicalTrials.gov,” 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.  Journal of American Medical Informatics Association (2015), 23(2):269-75.
• “A study of active learning methods for named entity recognition in clinical text,” Yukun Chen, Thomas A Lasko, Qiaozhu Mei, Joshua C Denny, and Hua Xu, Journal of Biomedical Informatics (2015), doi: 10.1016/j.jbi.2015.09.010.
• “Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks,” Huaiyu Wan, Marie-Francine Moens, Walter Luyten, Xuezhong Zhou, Qiaozhu Mei, Lu Liu, and Jie Tang.  Journal of American Medical Informatics Association (2015), doi: 10.1093/jamia/ocv092.
• “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),” David A. Hanauer, Qiaozhu Mei, James Law, Ritu Khanna, and Kai Zheng,  Journal of Biomedical Informatics (2015), http://dx.doi.org/10.1016/j.jbi.2015.05.003.
• “Does team competition increase pro-social lending? Evidence from online microfinance,” Roy Chen, Yan Chen, Yang Liu, and Qiaozhu Mei,  Games and Economic Behavior (2015), http://dx.doi.org/10.1016/j.geb.2015.02.001.

2014

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

2013

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

2012

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

2011

• “The Joint Inference of Topic Diffusion and Evolution in Social Communities,” Cindy Xide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, and Marina Danilevsky, in Proceedings of the 2011 IEEE International Conference on Data Mining (ICDM’11), pp. 378-387, 2011. (12.9% acceptance)
• “Query Log Analysis of an Electronic Health Record Search Engine,” Lei Yang, Qiaozhu Mei, Kai Zheng, and David A. Hanauer, in AMIA Annual Symposium Proceedings (AMIA’11), pp. 915-924, 2011.
• “Voice-Dictated versus Typed-in Clinician Notes: Linguistic Properties and the Potential Implications on Natural Language Processing,” Kai Zheng, Qiaozhu Mei, Lei Yang, Frank J. Manion, Ulysses J. Balis, and David A. Hanauer, in AMIA Annual Symposium Proceedings (AMIA’11), pp. 1630-1638, 2011.
• “Rumor has it: Identifying Misinformation in Microblogs,” Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, and Qiaozhu Mei, in Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP’11), pp. 1589-1599, 2011. (24% acceptance)
• “BeeSpace Navigator: exploratory analysis of gene function using semantic indexing of biological literature,” Moushumi Sen Sarma, David Arcoleo, Radhika S. Khetani, Brant Chee, Xu Ling, Xin He, Jing Jiang, Qiaozhu Mei, ChengXiang Zhai, and Bruce Schatz, Nucleic Acids Research, vol. 39 (suppl 2), pp. W462-W469, 2011. (impact factor: 8.026)
• “Simultaneous Similarity Learning and Feature-Weight Learning for Document Clustering,” Pradeep Muthukrishnan, Dragomir Radev, and Qiaozhu Mei,  in Proceeding of the ACL TextGraphs-6 workshop, 2011.
• “Classifying the Political Leaning of News Articles and Users from User Votes,” Daniel Zhou, Paul Resnick, and Qiaozhu Mei, in Fifth International Conference on Weblogs and Social Media (ICWSM 2011), pp. 417-424, 2011. (23% acceptance)
• “Collaborative search in electronic health records,” Kai Zheng, Qiaozhu Mei, and David A. Hanauer, 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

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