-
13.
Uniqueness and Mixing in the Low-Temperature Random-Cluster Model on Trees and Random Graphs
with Antonio Blanca, Reza Gheissari, and Heehyun Park
CONFSODA 2027
-
12.
Fast Mixing for Low-Temperature Potts Models via Poisson Trees
with Zongchen Chen, Andreas Galanis, Leslie Ann Goldberg, Xandru Mifsud, and Paulina Smolarova
CONFFSTTCS 2026
-
11.
Triangle-Free Coloring in LOCAL via Resilient Lovász Local Lemma
with Peter Davies-Peck
CONFDISC 2026 (to appear)
-
10.
Mixing Matrix Design for Energy-efficient Decentralized Federated Learning
with Tuan Nguyen and Ting He
-
9.
One-Shot Learning for k-SAT
with Andreas Galanis and Leslie Ann Goldberg
-
8.
Mean-field Potts and Random-Cluster Dynamics from High-Entropy Initializations
with Antonio Blanca and Reza Gheissari
-
7.
Diameters of Symmetric and Lifted Simple Exclusion Models
with Werner Krauth
-
6.
Energy-efficient Decentralized Learning via Graph Sparsification
with Cho-Chun Chiu and Ting He
-
5.
Rapid Mixing of Global Markov Chains via Spectral Independence: the Unbounded Degree Case
with Antonio Blanca
-
4.
Robustness Evaluation of Multi-agent Reinforcement Learning Algorithms Using GNAs
with Wei Zhang, Yishu Gong, Liangliang Yang, Jianyu Zhang, Zhengyu Chen, and Sihong He
-
3.
Laplacian Matrix Sampling for Communication-efficient Decentralized Learning
with Cho-Chun Chiu, Ting He, Shiqiang Wang, and Ananthram Swami
-
2.
The Critical Mean-field Chayes–Machta Dynamics
with Antonio Blanca and Alistair Sinclair
-
1.
An Approximation Algorithm for Incrementally Deploying SDN Forwarding Devices
with Vorapong Suppakitpaisarn