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Bayesian 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 LiangStatistics and Computing|April 24, 2019
Double-Parallel Monte Carlo for Bayesian Analysis of Big DataJingnan Xue, Faming LiangBio Systems|September 25, 2007
Phylogenetic tree construction using sequential stochastic approximation Monte CarloSooyoung Cheon, Faming LiangNeural Computation|April 24, 2013
A Monte Carlo Metropolis-Hastings algorithm for sampling from distributions with intractable normalizing constantsFaming Liang, Ick-Hoon JinTechnometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|October 17, 2017
A Bootstrap Metropolis-Hastings Algorithm for Bayesian Analysis of Big DataFaming Liang, Jinsu Kim, Qifan SongStatistics and Its Interface|August 24, 2019
A Split-and-Merge Approach for Singular Value Decomposition of Large-Scale MatricesFaming Liang, Runmin Shi, Qianxing MoGenomics, Proteomics & Bioinformatics|November 5, 2013
Bayesian peak picking for NMR spectraYichen Cheng, Xin Gao, Faming LiangStatistics & Probability Letters|November 8, 2021
Learning Sparse Deep Neural Networks with a Spike-and-Slab PriorYan Sun, Qifan Song, Faming LiangPageof 10