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Ph.D., May 2006
Computer Science Department
University of Illinois at Chicago
Department of Computer Science (MC/152)
The University of Illinois at Chicago
851 S. Morgan Street
Chicago, IL 60607-7053
Lab phone: (312) 996-4881
Lab location: 4030 SEL
Email: fliu1 [at] cs [dot] uic [dot] edu
I just defended my PhD dissertation (Unstructured Search on Structured Databases) this May. My advisor is Prof. Clement Yu and Prof. Weiyi Meng. I am also working with Prof. Bruce Lambert. I got my BS degree and MS degree in computer science from Renmin University of China, Beijing in 1995 and 1998 respectively. My research interests include database, information retrieval, natural language processing and machine learning.
Fang Liu, Clement Yu, Weiyi Meng: Personalized web search by mapping user queries to categories. In Proceedings of the eleventh international conference on Information and knowledge management (CIKM), pages 558-565. ACM Press, 2002.
Fang Liu, Clement Yu, Weiyi Meng: Personalized web search for improving retrieval effectiveness. IEEE Transactions on Knowledge and Data Engineering (TKDE), 16(1):28-40, 2004.
Shuang Liu, Fang Liu, Clement Yu, Weiyi Meng: An Effective Approach to Document Retrieval via Utilizing WordNet and Recognizing Phrases. 27th Annual International ACM SIGIR Conference (SIGIR), 2004.
Fang Liu, Shuang Liu, Clement Yu, Weiyi Meng, Ophir Frieder, David Grossman: Database Selection in Intranet Mediators for Natural Language Queries. ACM CIKM Conference (poster), 2005.
Fang Liu, Clement Yu, Weiyi Meng, Abdur Chowdhury: Effective Keyword Search in Relational Databases. (slides) ACM SIGMOD 2006.
PhD Thesis: Unstructured Search on Structured Databases (2003-present): Unstructured search (keywords and NLQs) on structured databases is a hard problem and is still in its early stage. In order to take advantages of the freedom of unstructured queries, the relevance ranking of IR, and the structure of databases with the power of SQL, we propose a new strategy by combining principles and techniques in Database, IR and NLP to tackle the problem.
Personalization of Web Search (2001-2003): Use machine learning methods to learn user search interests to improve web search.
Improve Document Retrieval Using WordNet (2003): Use WordNet to disambiguate and expand TREC queries to improve document retrieval effectiveness on the TREC data sets.
Drug Name Confusion Detection Using Decision Trees (2001-present): Look-alike and/or sound-alike drug names have caused 12%-25% of medication errors. We use decision trees to combine multiple measures to improve the detection accuracy.
Master Thesis: Query Optimization in a Parallel RDBMS (1996-1998): Design and implement the cost-based query optimization module and algorithms in a share-nothing parallel RDBMS.
CIKM 2006: 5/31/2006 (S), 8/1/2006 (N)
ICDE 2007: (7/5) 7/12/2006 (S), 10/7/2006 (N)
VLDB Special: 9/15/2006 (S), 12/15/2006 (N1)
Last modified: Mar. 15 2006