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2020. Articles 1–20. Department of Statistics - Cited by 5,511 - Information Theory - Bayesian Statistics - Machine Learning.
Feng Liang is a professor of statistics and data science at the University of Illinois Urbana-Champaign. His research interests include Bayesian methods, decision theory, information theory, and data mining.
Feng Liang is a researcher and educator in Bayesian methods, decision theory, information theory, and data mining. He has published articles on topics such as topic models, Bayesian variable selection, conditional random fields, and gene expression analysis.
Professor. Department of Statistics. University of Illinois at Urbana-Champaign. 725 S. Wright Street. Champaign, IL 61820 USA. Email: liangf at illinois dot edu. Phone: (217) 333-6017. Office: 113D Illini Hall. Research Interests: Bayesian statistics, statistical learning, and information theory.
Articles 1–20. Chongqing University - Cited by 6,962 - Computational Intelligence - Transfer Optimization - Multi-Task Optimization - Multi-Agent System.
Feng Liang is a principal research scientist in HSSR, Duke-NUS Medical School. He did his master in Epidemiology from Peking University Health Science Centre from 1999 to 2002 in China, and his PhD from the National University of Singapore between 2004 and 2009.
FENG LIANG. Curriculum Vitae. Department of Statistics University of Illinois Urbana-Champaign 725 South Wright Street Champaign, IL 61820 USA. Phone: (217) 333-6017 Fax: (217) 244-7190 Email: liangf@illinois.edu Web: publish.illinois.edu/liangf.
