Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack. - Ziwei Guan; Kaiyi Ji; Donald J. Bucci Jr.; Timothy Y. Hu; Joseph Palombo; Michael Liston; Yingbin Liang (AAAI, 2020)

Robust Dynamic Spectrum Access in Adversarial Environments. - Ziwei Guan; Timothy Y. Hu; Joseph Palombo; Michael J. Liston; Donald J. Bucci; Yingbin Liang (ICC, 2020)

When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence. - Ziwei Guan; Tengyu Xu; Yingbin Liang (AISTATS, 2021)

PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method. - Ziwei Guan; Tengyu Xu; Yingbin Liang (ICLR, 2022)

A Constrained Optimization Approach to Bilevel Optimization with Multiple Inner Minima. - Daouda Sow; Kaiyi Ji; Ziwei Guan; Yingbin Liang (CoRR, 2022)

Online Nonconvex Optimization with Limited Instantaneous Oracle Feedback. - Ziwei Guan; Yi Zhou 017; Yingbin Liang (COLT, 2023)

On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback. - Ziwei Guan; Yi Zhou 017; Yingbin Liang (ICLR, 2024)

Faster algorithm and sharper analysis for constrained Markov decision process. - Tianjiao Li; Ziwei Guan; Shaofeng Zou; Tengyu Xu; Yingbin Liang; Guanghui Lan (Oper. Res. Lett., 2024)

AdaProx: A Novel Method for Bilevel Optimization under Pessimistic Framework. - Ziwei Guan; Daouda Sow; Sen Lin 001; Yingbin Liang (CPAL, 2025)

HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback. - Xufeng Cai; Ziwei Guan; Lei Yuan; Ali Selman Aydin; Tengyu Xu; Boying Liu; Wenbo Ren; Renkai Xiang; Songyi He; Haichuan Yang; Serena Li; Mingze Gao; et al. (KDD (1), 2025)