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  1. 2020. Articles 1–20. ‪Department of Statistics‬ - ‪‪Cited by 5,549‬‬ - ‪Information Theory‬ - ‪Bayesian Statistics‬ - ‪Machine Learning‬.

  2. 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.

  3. PENN ENGINEERING ©2017. UNIVERSITY OF PENNSYLVANIA SCHOOL OF ENGINEERING AND APPLIED SCIENCE 220 South 33rd Street | 107 Towne Building | Philadelphia, PA 19104-6391 | 215-898-7246

  4. Public access. 52 articles. 1 article. available. not available. Based on funding mandates. Minghui Lu Nanjing University. Stefano Longhi Professor of Physics, Politecnico di Milano. Li Ge...

  5. 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.

  6. Associate Professor, Molecular & Cellular Physiology. Member, Bio-X. Member, Wu Tsai Neurosciences Institute. Honors & Awards. NIH Director's New Innovator Award, NIH (2015) Klingenstein-Simons Fellow, The Klingenstein Fund and the Simons Foundation (2015) Alfred P. Sloan Research Fellow, Alfred P. Sloan Foundation (2014) Professional Education.

  7. 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. EDUCATION. 1997 B.S. 2002 Ph.D. Dissertation: Mathematics Statistics. Peking University Yale University.

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