Hui Fang

Assistant Professor
Electrical and Computer Engineering
University of Delaware

316 Evans Hall
Newark, DE 19716

Email: hfang AT udel.edu

Phone: (302)831-7238


||   Bio   ||   Research   ||   Teaching   ||   Services   ||   Publications   ||


Biography
I am an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Delaware. I received my M.S. and Ph.D degree from University of Illinois at Urbana-Champaign in 2004 and 2007, respectively, and B.S. degree from Tsinghua University in 2001.
Research
Research group: InfoLab

I have a broad interest in all kinds of real world applications that are related to effectively and efficiently managing large amount of text information. My primary research interest is information retrieval. I am also interested in bioinformatics, data mining and databases.

I am actively recruiting students interested in information retrieval, search engine technologies, and related areas. Please just drop me a message, I will be happy to chat with you and give you an overview of my research.

Honors and Awards
Teaching
Professional Services
  • Program Committee: WSDM12, SIGIR11, CIKM11, ITCIR11, AAAI11, WWW11, WSDM11, SIGIR10, WSDM10, KDD10, EMNLP10, CIKM10, WWW10, SIGIR09, WWW09, NAACL-HLT09, ICTIR09, ADKDD09, SIGIR08, CIKM08, WWW08, EMNLP08, ICML08, ECIR08, AIRS08, IJCNLP08.
  • Reviewer: ACM Transaction on Information Systems (TOIS), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Parallel and Distributed Systems (TPDS), Information Processing & Management, Information Processing Letters(IPL), Transactions on Systems Mans and Cybernetics (SMCC), ETRI Journal
  • Faculty Advisor: ACM-W at OSU
  • Coordinator: Million query track in TREC 2009
  • IR Track PC Vice Chair: CIKM 2009.
Publications

Selected Publications:

  • Wei Zheng, Xuanhui Wang, Hui Fang and Hong Cheng. Coverage-based Search Result Diversification. To appear in Information Retrieval.

  • Xitong Liu, Hui Fang, Cong-Lei Yao and Min Wang. Finding Relevant Information of Certain Types from Enterprise Data . To appear in the 20th ACM International Conference on Information Retrieval and Knowledge Management, 2011. (CIKM'11) (full paper, 15% acceptance)

  • Wei Zheng, Hui Fang, Cong-Lei Yao and Min Wang. Leveraging Integrated Information to Diversity Results for Enterprise Search To appear in the 20th ACM International Conference on Information Retrieval and Knowledge Management, 2011. (CIKM'11) (poster paper)

  • Wei Zheng, Xuanhui Wang, Hui Fang and Hong Cheng. An Exploration of Pattern-based Subtopic Modeling for Search Result Diversification. In Proceedings of ACM/IEEE Joint Conference on Digital Libraries,2011. (JCDL'11) (poster paper)

  • Hui Fang, Tao Tao and ChengXiang Zhai. Diagnostic Evaluation of Information Retrievla Models . ACM Transactions on Information Systems , Volume 29, Issue 2, April 2011. (ACM TOIS).

  • Ben Carterette, Evangelos Kanoulas, Virgial Pavlu and Hui Fang. Building Reusable Test Collections Through Experimental Design. In Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010. (SIGIR'10)(17% acceptance)

  • Wei Zheng and Hui Fang. Query Aspect based Term Weighting Regularization in Information Retrieval. In Proceedings of the 32nd European Conference on Information Retrieval, 2010. (ECIR'10) (22% acceptance)

  • Yue Lu, Hui Fang and ChengXiang Zhai. An Empirical Study of Gene Synonym Query Expansion in Biomedical Information Retrieval. Information Retrieval, Volume 12, Number 1, Feb. 2009, Pages 51-68.

  • Xuanhui Wang, Hui Fang and ChengXiang Zhai. A Study of Methods for Negative Relevance Feedback. In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008. (SIGIR'08) (17% acceptance)

  • Hui Fang. A Re-examination of Query Expansion Using Lexical Resources. In Proceedings of the 46th Annual Meetings of the Association for Computational Linguistics, 2008. (ACL'08)(25% acceptance)

  • Xuanhui Wang, Hui Fang and ChengXiang Zhai. Improve Retrieval Accuracy for Difficult Queries using Negative Feedback. In Proceedings of the 16th ACM International Conference on Information Retrieval and Knowledge Management, pages 991-994, 2007. (CIKM'07) (short paper, 26% acceptance) (pdf)

  • 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, pages 319-326, 2007. (SIGIR'07) (18% acceptance) (pdf)

  • Bin Tan, Atulya Velivelli, Hui Fang and ChengXiang Zhai. Term Feedback for Information Retrieval with Language Models. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 263-270, 2007. (SIGIR'07) (18% acceptance) (pdf)

  • Hui Fang and ChengXiang Zhai. Probabilistic Models for Expert Finding. In Proceedings of the 29th European Conference on Information Retrieval, pages 418-430, 2007. (ECIR'07) (19% acceptance) ([pdf])

  • Hui Fang and ChengXiang Zhai. Semantic Term Matching in Axiomatic Approaches to Information Retrieval. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 115-122, Seattle, Washington, USA, 2006. (SIGIR'06) (19% acceptance) ([pdf])

  • Hui Fang and ChengXiang Zhai. An Exploration of Axiomatic Approaches to Information Retrieval. In Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 480-487, Salvador, Brazil, 2005. (SIGIR'05) (19% acceptance) ([pdf])

  • Hui Fang, Tao Tao and ChengXiang Zhai. A Formal Study of Information Retrieval Heuristics. In Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 49-56, Sheffield, United Kingdom, 2004. (SIGIR'04) (22% acceptance, Best Paper Award) ([pdf], [slides])

  • Tao Tao, ChengXiang Zhai, Xinghua Lu and Hui Fang. A Study of Statistical Methods for Function Prediction of Protein Motifs. Applied Bioinformatics, Volume 3, No. 2-3, pages 115-124,2004. (Applied Bioinformatics) ([pdf])


Last updated: August 1, 2011