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Wei Wang

Title: Adjunct Professor, Computer Science
Department/School: Computer Science , CB#3175
Telephone: (919) 962-1744
Email:wangwei@email.unc.edu
Webpage:http://www.cs.unc.edu/~weiwang
Appointed Year: 2002
Education:Ph.D. (1999) Computer Science, University of California, Los Angeles
Languages:• Chinese, Mandarin (native/bilingual proficiency)
Specialization:Data Mining,
Bioinformatics and Computational Biology,
Databases
Relevant Experience:2002 - now UNC,
1999 - 2002 IBM
Distinctions:Phillip and Ruth Hettleman Prize for Artistic and Scholarly Achievement 2007,
Microsoft Research New Faculty Fellow 2005,
Faculty Early Career Development (CAREER) Award, National Science Foundation 2005,
Junior Faculty Development Award, UNC-Chapel Hill 2003,
Invention Achievement Awards, IBM 2000 and 2001
Dissertations and Theses Supervised in Past 5 Years: 5
Relevant Courses Taught:Data Mining,
Bioinformatics,
Bioalgorithms,
Database Systems
Recent Publications:• 2009 COE: a general approach for efficient genome-wide two-locus epistasis test in disease association study, by Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, and Wei Wang. Proceedings of the 13th Annual International Conference on Research in Computational Molecular Biology (RECOMB), 2009.
• 2007 Inferring missing genotypes in large SNP panels using fast nearest-neighbor searches over sliding windows, by Adam Roberts, Leonard McMillan, Wei Wang, Joel Parker, Ivan Rusyn, and David Threadgill, Proceedings of the 15th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Bioinformatics, vol. 23, no. 13, pp. i401-i407,2007.
• 2005 An improved biclustering method for analyzing gene expression profiles, by Jiong Yang, Haixun Wang, Wei Wang, and Philip Yu, International Journal on Artificial Intelligence Tools (IJAIT), vol. 14, no. 5, pp. 771-789, 2005.
• 2003 Mining asynchronous periodic patterns in time series data, by Jiong Yang, Wei Wang, and Philip Yu. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 15, no. 3, pp. 613-628, 2003.
• 2001 TAR: temporal association rules on evolving numerical attributes, by Wei Wang, Jiong Yang, and Richard Muntz. Proceedings of the 17th IEEE International Conference on Data Engineering, pp. 283-292, 2001.

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