Contact Information
725 S. Wright St.
M/C 374
Champaign, IL 61820
Biography
Department of Statistics, University of Illinois at Urbana-Champaign
Associate Professor, 2011 – present
Assistant Professor, 2006 – 2011
Senior Researcher, Information Trust Institute, University of Illinois at Urbana-Champaign, 2007 – present
Assistant Professor, Institute of Statistics and Decision Sciences, Duke University, 2002 – 2008
Research Associate, Statistical and Applied Mathematical Sciences Institute (SAMSI), 2003 – 2004
Research Interests
Bayesian methods
Decision theory
Information theory
Minimum description length principle
Data mining
Education
Ph.D. Statistics, Yale University, New Haven, CT, 2002
B.A. Mathematics, Peking University, P.R. China, 1997
Awards and Honors
Associate Editor for Bayesian Analysis, 2009 – 2015
Editor for the ISBA Bulletin, 2013 – 2015
Additional Campus Affiliations
Associate Professor, Information Trust Institute
External Links
Recent Publications
Chen, Y., Culpepper, S., & Liang, F. (2020). A Sparse Latent Class Model for Cognitive Diagnosis. Psychometrika, 85(1), 121-153. https://doi.org/10.1007/s11336-019-09693-2
Gan, L., Narisetty, N. N., & Liang, F. (2019). Bayesian Regularization for Graphical Models With Unequal Shrinkage. Journal of the American Statistical Association, 114(527), 1218-1231. https://doi.org/10.1080/01621459.2018.1482755
Lee, J., Boubekri, M., & Liang, F. (2019). Impact of Building Design Parameters on Daylighting Metrics Using an Analysis, Prediction, and Optimization Approach Based on Statistical Learning Technique. Sustainability, 11(5), [1474]. https://doi.org/10.3390/su11051474
Jin, Z., Liang, F., Yang, J., & Mei, W. (2017). hnRNP I regulates neonatal immune adaptation and prevents colitis and colorectal cancer. PLoS genetics, 13(3), [e1006672]. https://doi.org/10.1371/journal.pgen.1006672
Xu, T., Valocchi, A. J., Ye, M., Liang, F., & Lin, Y. F. (2017). Bayesian calibration of groundwater models with input data uncertainty. Water Resources Research, 53(4), 3224-3245. https://doi.org/10.1002/2016WR019512