Luo Si
Luo Si
Assistant Professor of Computer Science

Joined department in 2006

Education:
PhD, Language and Information Technologies
Carnegie Mellon University (2006)
MS, Computer Science and Technology
Tsinghua University (2000)
BS, Computer Science and Technology
Tsinghua University (1998)

Professor Si's research spans a range of topics in information retrieval, machine learning, text mining, speech and multimedia processing, and data mining. His recent research focuses on federated search (distributed information retrieval), probabilistic models for information filtering, and text/data mining for life science.

Professor Si has designed systems with his colleagues and acquired good results in evaluation campaigns such as TREC (Text Retrieval Conference) and CLEF (cross-lingual evaluations forum). He has published more than 35 conference, journal and workshop papers.

Selected Publications
Luo Si and Jamie Callan, "Modeling Search Engine Effectiveness for Federated Search", In Proceedings of the Twenty Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005, ACM.
Rong Jin, Luo Si, ChengXiang Zhai, "A Study of Mixture Models for Collaborative Filtering", Journal of Information Retrieval, 2006.
Luo Si and Jamie Callan, "A Semi-Supervised Learning Method to Merge Search Engine Results", In ACM Transactions on Information Systems, 24(4), 2003 ACM.
Funding Administered by Computer Science
Aditya P. Mathur and Luo Si, Development, Deployment & Maintenance of the Indiana Database for University Research Expertise, Indiana Economic Development Corporation, 3/31/2008-5/7/2009.
Luo Si and Yan Ping Xin, SGER III-CXT: Integrating Computer Science Techniques into Differentiated Instruction of Mathematical Word Problem Solving, National Science Foundation, 9/15/2007-8/31/2009.
Last Updated: June 13, 2008 04:23pm
Contact Information

Office: LWSN 2142B
Phone: 49-69381

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