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Advances 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 LiangAdvances in Neural Information Processing Systems|November 27, 2020
An Adaptive Empirical Bayesian Method for Sparse Deep LearningWei Deng, Xiao Zhang, Faming Liang, et al.Proceedings of Machine Learning Research|September 24, 2021
Non-convex Learning via Replica Exchange Stochastic Gradient MCMCWei Deng, Qi Feng, Liyao Gao, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 6, 2003
Use of sequential structure in simulation from high-dimensional systemsFaming LiangPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 13, 2004
Generalized 1/k-ensemble algorithmFaming LiangThe Journal of Chemical Physics|July 23, 2004
Annealing contour Monte Carlo algorithm for structure optimization in an off-lattice protein modelFaming LiangBiometrics|February 19, 2010
Robust clustering using exponential power mixturesJian Zhang, Faming LiangBiostatistics (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 LiangPageof 256