| 2024 | ICLR | Causal-StoNet: Causal Inference for High-Dimensional Complex Data. | Yaxin Fang, Faming Liang |
| 2024 | ICLR | Fast Value Tracking for Deep Reinforcement Learning. | Frank Shih, Faming Liang |
| 2023 | AAAI | Non-reversible Parallel Tempering for Deep Posterior Approximation. | Wei Deng, Qian Zhang, Qi Feng, Faming Liang, Guang Lin |
| 2022 | ICLR | Interacting Contour Stochastic Gradient Langevin Dynamics. | Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang |
| 2021 | ICLR | Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction. | Wei Deng, Qi Feng, Georgios Karagiannis, Guang Lin, Faming Liang |
| 2020 | ICML | Non-convex Learning via Replica Exchange Stochastic Gradient MCMC. | Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin |
| 2000 | ASPDAC | Dynamic weighting Monte Carlo for constrained floorplan designs in mixed signal application. | Jason Cong, Tianming Kong, Faming Liang, Jun S. Liu, Wing Hung Wong, Dongmin Xu |
| 1999 | ASPDAC | Relaxed Simulated Tempering for VLSI Floorplan Designs. | Jason Cong, Tianming Kong, Dongmin Xu, Faming Liang, Jun S. Liu, Wing Hung Wong |