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Biostatistics (Oxford, England)|April 10, 2021
Fast hybrid Bayesian integrative learning of multiple gene regulatory networks for type 1 diabetesBochao Jia, Faming Liang, ... International Conference on Learning Representations|February 23, 2026
Causal-StoNet: Causal Inference for High-Dimensional Complex DataYaxin Fang, Faming LiangBio Systems|June 18, 2011
Folding small proteins via annealing stochastic approximation Monte CarloSooyoung Cheon, Faming LiangBiometrics|February 5, 2010
Bayesian modeling of ChIP-chip data through a high-order Ising modelQianxing Mo, Faming LiangBioinformatics (Oxford, England)|January 30, 2010
A hidden Ising model for ChIP-chip data analysisQianxing Mo, Faming LiangJournal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|December 12, 2018
A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional DataJingnan Xue, Faming LiangStatistics and Its Interface|January 24, 2025
A Double Regression Method for Graphical Modeling of High-dimensional Nonlinear and Non-Gaussian DataSiqi Liang, Faming LiangBayesian Analysis|January 27, 2025
Bayesian Analysis of Exponential Random Graph Models Using Stochastic Gradient Markov Chain Monte CarloQian Zhang, Faming Liang... International Conference on Learning Representations|February 23, 2026
Fast Value Tracking for Deep Reinforcement LearningFrank Shih, Faming LiangStatistics in Medicine|June 10, 2022
Markov neighborhood regression for statistical inference of high-dimensional generalized linear modelsLizhe Sun, Faming LiangPageof 543