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Liang Feng is a materials scientist and engineer who works on climate, energy, and biomedicine issues. He is known for his discovery of a new adsorption mechanism called mechanisorption and his research on porous materials and molecular machines.
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.
2020. Articles 1–20. Department of Statistics - Cited by 5,524 - Information Theory - Bayesian Statistics - Machine Learning.
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 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.
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Public access. 50 articles. 3 articles. available. not available. Based on funding mandates. Minghui Lu Nanjing University. Stefano Longhi Professor of Physics, Politecnico di Milano. Li Ge...
