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Computational Statistics|January 27, 2025
An Extended Langevinized Ensemble Kalman Filter for non-Gaussian Dynamic SystemsPeiyi Zhang, Tianning Dong, Faming LiangAdvances in Neural Information Processing Systems|September 24, 2021
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal DistributionsWei Deng, Guang Lin, Faming LiangStatistics and Its Interface|April 16, 2021
Accelerate Training of Restricted Boltzmann Machines via Iterative Conditional Maximum Likelihood EstimationMingqi Wu, Ye Luo, Faming LiangJournal of Data Science : JDS|November 21, 2025
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian PriorMingxuan Zhang, Yan Sun, Faming LiangJournal of the American Statistical Association|July 30, 2019
Bayesian Neural Networks for Selection of Drug Sensitive GenesFaming Liang, Qizhai Li, Lei ZhouJournal 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 SunPageof 10