activity
20062023
most citedSpatial mixing and approximation algorithms for graphs with bounded connective constant

37 citations · 120 across the 35 of their papers we have counts for

collaborators

38 papers

cs.DS2023

A Sampling Lovász Local Lemma for Large Domain Sizes

Chunyang Wang, Yitong Yin

We present polynomial-time algorithms for approximate counting and sampling solutions to constraint satisfaction problems (CSPs) with atomic constraints within the local lemma regi…

cs.DS2023★ 1 cited

Uniqueness and Rapid Mixing in the Bipartite Hardcore Model

Xiaoyu Chen, Jingcheng Liu, Yitong Yin

We characterize the uniqueness condition in the hardcore model for bipartite graphs with degree bounds only on one side, and provide a nearly linear time sampling algorithm that wo…

cs.DS2022

Deterministic counting Lovász local lemma beyond linear programming

Kun He, Chunyang Wang, Yitong Yin

We give a simple combinatorial algorithm to deterministically approximately count the number of satisfying assignments of general constraint satisfaction problems (CSPs). Suppose t…

cs.DS2022

Towards derandomising Markov chain Monte Carlo

Weiming Feng, Heng Guo, Chunyang Wang +2

We present a new framework to derandomise certain Markov chain Monte Carlo (MCMC) algorithms. As in MCMC, we first reduce counting problems to sampling from a sequence of marginal…

cs.DS2022

Locally-iterative -Coloring in Sublinear (in ) Rounds

Xinyu Fu, Yitong Yin, Chaodong Zheng

Distributed graph coloring is one of the most extensively studied problems in distributed computing. There is a canonical family of distributed graph coloring algorithms known as t…

cs.DS2022

Sampling Lovász Local Lemma For General Constraint Satisfaction Solutions In Near-Linear Time

Kun He, Chunyang Wang, Yitong Yin

We give a fast algorithm for sampling uniform solutions of general constraint satisfaction problems (CSPs) in a local lemma regime. Suppose that the CSP has variables with doma…