On Local Distributed Sampling and Counting. - Weiming Feng 001; Yitong Yin (PODC, 2018)

Distributed Symmetry Breaking in Sampling (Optimal Distributed Randomly Coloring with Fewer Colors). - Weiming Feng 001; Thomas P. Hayes; Yitong Yin (CoRR, 2018)

Local Rejection Sampling with Soft Filters. - Weiming Feng 001; Yahui Liu; Yitong Yin (CoRR, 2018)

Fully-Asynchronous Distributed Metropolis Sampler with Optimal Speedup. - Weiming Feng 001; Thomas P. Hayes; Yitong Yin (CoRR, 2019)

Dynamic MCMC Sampling. - Weiming Feng 001; Kun He 011; Xiaoming Sun 001; Yitong Yin (CoRR, 2019)

Fast sampling and counting k-SAT solutions in the local lemma regime. - Weiming Feng 001; Heng Guo 001; Yitong Yin; Chihao Zhang 001 (STOC, 2020)

What can be sampled locally? - Weiming Feng 001; Yuxin Sun; Yitong Yin (Distributed Comput., 2020)

Rapid mixing of Glauber dynamics via spectral independence for all degrees. - Xiaoyu Chen; Weiming Feng 001; Yitong Yin; Xinyuan Zhang (FOCS, 2021)

Dynamic Inference in Probabilistic Graphical Models. - Weiming Feng 001; Kun He 011; Xiaoming Sun 001; Yitong Yin (ITCS, 2021)

Distributed Metropolis Sampler with Optimal Parallelism. - Weiming Feng 001; Thomas P. Hayes; Yitong Yin (SODA, 2021)

Sampling constraint satisfaction solutions in the local lemma regime. - Weiming Feng 001; Kun He 011; Yitong Yin (STOC, 2021)

Optimal Mixing Time for the Ising Model in the Uniqueness Regime. - Xiaoyu Chen; Weiming Feng 001; Yitong Yin; Xinyuan Zhang (CoRR, 2021)

Fast Sampling and Counting k-SAT Solutions in the Local Lemma Regime. - Weiming Feng 001; Heng Guo 001; Yitong Yin; Chihao Zhang 001 (J. ACM, 2021)

Dynamic Sampling from Graphical Models. - Weiming Feng 001; Nisheeth K. Vishnoi; Yitong Yin (SIAM J. Comput., 2021)

Improved Bounds for Randomly Colouring Simple Hypergraphs. - Weiming Feng 001; Heng Guo 001; Jiaheng Wang 002 (APPROX/RANDOM, 2022)

Optimal mixing for two-state anti-ferromagnetic spin systems. - Xiaoyu Chen; Weiming Feng 001; Yitong Yin; Xinyuan Zhang (FOCS, 2022)

Sampling from the ferromagnetic Ising model with external fields. - Weiming Feng 001; Heng Guo 001; Jiaheng Wang 002 (CoRR, 2022)

A simple polynomial-time approximation algorithm for total variation distances between product distributions. - Weiming Feng 001; Heng Guo 001; Mark Jerrum; Jiaheng Wang 002 (CoRR, 2022)

Perfect sampling from spatial mixing. - Weiming Feng 001; Heng Guo 001; Yitong Yin (Random Struct. Algorithms, 2022)

Rapid Mixing from Spectral Independence beyond the Boolean Domain. - Weiming Feng 001; Heng Guo 001; Yitong Yin; Chihao Zhang 001 (ACM Trans. Algorithms, 2022)

Towards derandomising Markov chain Monte Carlo. - Weiming Feng 001; Heng Guo 001; Chunyang Wang 003; Jiaheng Wang 002; Yitong Yin (FOCS, 2023)

On the Mixing Time of Glauber Dynamics for the Hard-Core and Related Models on G(n, d/n). - Charilaos Efthymiou 001; Weiming Feng 001 (ICALP, 2023)

A simple polynomial-time approximation algorithm for the total variation distance between two product distributions. - Weiming Feng 001; Heng Guo 001; Mark Jerrum; Jiaheng Wang 002 (TheoretiCS, 2023)

Swendsen-Wang dynamics for the ferromagnetic Ising model with external fields. - Weiming Feng 001; Heng Guo 001; Jiaheng Wang 002 (Inf. Comput., 2023)

An FPRAS for Two Terminal Reliability in Directed Acyclic Graphs. - Weiming Feng 001; Heng Guo 001 (ICALP, 2024)

On Deterministically Approximating Total Variation Distance. - Weiming Feng 001; Liqiang Liu; Tianren Liu (SODA, 2024)

Rapid Mixing via Coupling Independence for Spin Systems with Unbounded Degree. - Xiaoyu Chen; Weiming Feng 001 (CoRR, 2024)

Deterministic counting from coupling independence. - Xiaoyu Chen; Weiming Feng 001; Heng Guo 001; Xinyuan Zhang; Zongrui Zou (CoRR, 2024)

Approximating the Total Variation Distance between Gaussians. - Arnab Bhattacharyya 004; Weiming Feng 001; Piyush Srivastava 001 (AISTATS, 2025)

Approximating the total variation distance between spin systems. - Weiming Feng 001; Hongyang Liu; Minji Yang (COLT, 2025)

Rapid Mixing of the Flip Chain over Non-Crossing Spanning Trees. - Konrad Anand; Weiming Feng 001; Graham Freifeld; Heng Guo 001; Mark Jerrum; Jiaheng Wang 002 (SoCG, 2025)

Approximately Counting Knapsack Solutions in Subquadratic Time. - Weiming Feng 001; Ce Jin 001 (SODA, 2025)

Optimal Mixing for Randomly Sampling Edge Colorings on Trees Down to the Max Degree. - Charlie Carlson; Xiaoyu Chen; Weiming Feng 001; Eric Vigoda (SODA, 2025)

Toward Derandomizing Markov Chain Monte Carlo. - Weiming Feng 001; Heng Guo 001; Chunyang Wang 003; Jiaheng Wang 002; Yitong Yin (SIAM J. Comput., 2025)

Approximate Counting for Spin Systems in Sub-Quadratic Time. - Konrad Anand; Weiming Feng 001; Graham Freifeld; Heng Guo 001; Jiaheng Wang 002 (TheoretiCS, 2025)

Faster Mixing of the Jerrum-Sinclair Chain. - Xiaoyu Chen; Weiming Feng 001; Zhe Ju; Tianshun Miao; Yitong Yin; Xinyuan Zhang (CoRR, 2025)

Rapid Mixing of Glauber Dynamics for Monotone Systems via Entropic Independence. - Weiming Feng 001; Minji Yang (CoRR, 2025)