Xusheng Zhang
I am a fifth-year graduate student in Computer Science and Engineering at Penn State advised by Antonio Blanca.
Before Penn State, I enjoyed building cloud products for Amazon Web Services.
I am attracted to fun puzzles in theoretical computer science and their applications.
Main themes of my research interests are Markov chains, graph algorithms, and federated learning.
Contact: xushengz [AT] psu [DOT] edu
Publications:
Diameters of symmetric and lifted simple exclusion models with Werner Krauth. Preprint in submission.
Energy-efficient Decentralized Learning via Graph Sparsification with Cho-Chun Chiu, Ting He. ICASSP '24
Rapid Mixing of Global Markov Chains via Spectral Independence: the Unbounded Degree Case with Antonio Blanca. RANDOM '23.
Robustness Evaluation of Multi-agent Reinforcement Learning Algorithms Using GNAs with Wei Zhang, Yishu Gong, Liangliang Yang, Jianyu Zhang, Zhengyu Chen, Sihong He. ICLR Tiny Papers '23.
Laplacian Matrix Sampling for Communication-efficient Decentralized Learning with Cho-Chun Chiu, Ting He, Shiqiang Wang and Ananthram Swami. IEEE Journal on Selected Areas in Communications '23.
The Critical Mean-field Chayes-Machta Dynamics with Antonio Blanca and Alistair Sinclair. RANDOM '21, Combinatorics, Probability and Computing '22 . [arxiv]
An Approximation Algorithm for Incrementally Deploying SDN Forwarding Devices with Vorapong Suppakitpaisarn. IMCOM '18