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Journal of the American Statistical Association|July 30, 2019
Bayesian Neural Networks for Selection of Drug Sensitive GenesFaming Liang, Qizhai Li, Lei ZhouNeural Computation|April 14, 2019
Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed DataSuwa Xu, Bochao Jia, Faming LiangJournal of Statistical Computation and Simulation|May 13, 2022
Stochastic gradient Langevin dynamics with adaptive driftsSehwan Kim, Qifan Song, Faming LiangJournal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|January 19, 2024
A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown ParametersTianning Dong, Peiyi Zhang, Faming LiangNeural Networks : the Official Journal of the International Neural Network Society|July 20, 2024
Deep network embedding with dimension selectionTianning Dong, Yan Sun, Faming LiangStatistics in Medicine|May 1, 2024
Time-varying dynamic Bayesian network learning for an fMRI study of emotion processingLizhe Sun, Aiying Zhang, Faming LiangJournal of the Royal Statistical Society. Series B, Statistical Methodology|February 12, 2025
Extended fiducial inference: toward an automated process of statistical inferenceFaming Liang, Sehwan Kim, Yan SunBMC Bioinformatics|October 28, 2009
Bayesian modeling of ChIP-chip data using latent variablesMingqi Wu, Faming Liang, Yanan TianJournal of the Royal Statistical Society. Series C, Applied Statistics|August 9, 2017
Biomarker detection and categorization in ribonucleic acid sequencing meta-analysis using Bayesian hierarchical modelsTianzhou Ma, Faming Liang, George TsengPlos One|February 28, 2019
Drug sensitivity prediction with high-dimensional mixture regressionQianyun Li, Runmin Shi, Faming LiangPageof 12