| 2026 | COCOON | Sublinear-Time Algorithms for Diagonally Dominant Systems and Applications to the Friedkin-Johnsen Model. | Weiming Feng, Zelin Li, Pan Peng |
| 2026 | SODA | Rapid Mixing of Glauber Dynamics for Monotone Systems via Entropic Independence. | Weiming Feng, Minji Yang |
| 2026 | STOC | Learning CNF Formulas from Uniform Random Solutions in the Local Lemma Regime. | Weiming Feng, Xiongxin Yang, Yixiao Yu, Yiyao Zhang |
| 2025 | AISTATS | Approximating the Total Variation Distance between Gaussians. | Arnab Bhattacharyya, Weiming Feng, Piyush Srivastava |
| 2025 | COLT | Approximating the total variation distance between spin systems. | Weiming Feng, Hongyang Liu, Minji Yang |
| 2025 | FOCS | Deterministic Counting from Coupling Independence. | Xiaoyu Chen, Weiming Feng, Heng Guo, Xinyuan Zhang, Zongrui Zou |
| 2025 | FOCS | Faster Mixing of the Jerrum-Sinclair Chain. | Xiaoyu Chen, Weiming Feng, Zhe Ju, Tianshun Miao, Yitong Yin, Xinyuan Zhang |
| 2025 | SODA | Approximately Counting Knapsack Solutions in Subquadratic Time. | Weiming Feng, Ce Jin |
| 2025 | SODA | Optimal Mixing for Randomly Sampling Edge Colorings on Trees Down to the Max Degree. | Charlie Carlson, Xiaoyu Chen, Weiming Feng, Eric Vigoda |
| 2024 | ICALP | An FPRAS for Two Terminal Reliability in Directed Acyclic Graphs. | Weiming Feng, Heng Guo |
| 2024 | ICALP | Approximate Counting for Spin Systems in Sub-Quadratic Time. | Konrad Anand, Weiming Feng, Graham Freifeld, Heng Guo, Jiaheng Wang |
| 2024 | SODA | On Deterministically Approximating Total Variation Distance. | Weiming Feng, Liqiang Liu, Tianren Liu |
| 2023 | FOCS | Towards derandomising Markov chain Monte Carlo. | Weiming Feng, Heng Guo, Chunyang Wang, Jiaheng Wang, Yitong Yin |
| 2023 | ICALP | On the Mixing Time of Glauber Dynamics for the Hard-Core and Related Models on G(n, d/n). | Charilaos Efthymiou, Weiming Feng |
| 2022 | FOCS | Optimal mixing for two-state anti-ferromagnetic spin systems. | Xiaoyu Chen, Weiming Feng, Yitong Yin, Xinyuan Zhang |
| 2021 | FOCS | Rapid mixing of Glauber dynamics via spectral independence for all degrees. | Xiaoyu Chen, Weiming Feng, Yitong Yin, Xinyuan Zhang |
| 2021 | SODA | Rapid Mixing from Spectral Independence beyond the Boolean Domain. | Weiming Feng, Heng Guo, Yitong Yin, Chihao Zhang |
| 2021 | SODA | Distributed Metropolis Sampler with Optimal Parallelism. | Weiming Feng, Thomas P. Hayes, Yitong Yin |
| 2021 | STOC | Sampling constraint satisfaction solutions in the local lemma regime. | Weiming Feng, Kun He, Yitong Yin |
| 2020 | STOC | Fast sampling and counting k-SAT solutions in the local lemma regime. | Weiming Feng, Heng Guo, Yitong Yin, Chihao Zhang |
| 2019 | STOC | Dynamic sampling from graphical models. | Weiming Feng, Nisheeth K. Vishnoi, Yitong Yin |
| 2018 | PODC | On Local Distributed Sampling and Counting. | Weiming Feng, Yitong Yin |
| 2017 | PODC | What Can be Sampled Locally? | Weiming Feng, Yuxin Sun, Yitong Yin |