I completed my Ph.D. in Computer Science at the University of Illinois Urbana-Champaign. I earned my B.S. at Yao Class (special pilot class for computer science) at Tsinghua University.
During my Ph.D., I worked on some problems in online learning and EconCS. I was advised by Prof. Chandra Chekuri (de jure), and I also worked closely with Prof. Yunzong Xu.
Contact: szuo3 at illinois dot edu
Greedy Algorithm for Structured Bandits: A Sharp Characterization of Asympotitc Success / Failure
(alpha-beta) Alexsandrs Slivkins, Yunzong Xu, Shiliang Zuo
In Preparation
[PDF]
Harnessing the Continuous Structure: Utilizing the First-Order Approach in Online Contract Design
Shiliang Zuo
In Preparation
[PDF] [Talk Slides]
Linear Contracts in Multitasking: Robustness, Uniformity, and Learning
Shiliang Zuo
In preparation
[PDF]
Corruption-Robust Lipschitz Contextual Search
Shiliang Zuo
ALT 2024 [PDF]
Near-Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses
Shiliang Zuo
AISTATS 2024 [PDF]
Contextual Bandits with Online Neural Regression
Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
ICLR 2024
Smoothed Adversarial Contextual Bandits with Knapsacks
Vidyashankar Sivakumar, Shiliang Zuo, Arindam Banerjee
ICML 2022 [PDF]
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Pan Zhou, Benjamin Rubinstein, Ce Zhang, Bo Li
NeurIPS 2021
[Apr 2024] I gave a talk on my recent work, 'New Perspectives in Online Contract Design', at the Sigma Research Lab in the Department of Computer Science, University of Chicago.
[Mar 2024] I will be joining Amazon SCOT (Supply Chain Optimization Technology) in the Bellevue office as an applied scientist intern this summer.
[Jan 2024] I have a single-author paper accepted at AISTATS 2024. This paper studies adversarial attacks in the multi-arm bandit problem.
[Dec 2023] I have a single-author paper accepted at ALT 2024. This paper designs robust learning algorithms for dynamic pricing and revenue management.