Distributionally Robust Q-Learning. - Zijian Liu 003; Qinxun Bai; Jose H. Blanchet; Perry Dong; Wei Xu 017; Zhengqing Zhou; Zhengyuan Zhou (ICML, 2022)

Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction. - Zijian Liu 003; Ta Duy Nguyen; Alina Ene; Huy L. Nguyen (ICML, 2022)

On the Convergence of AdaGrad on $ R^{d}$: Beyond Convexity, Non-Asymptotic Rate and Acceleration. - Zijian Liu 003; Ta Duy Nguyen; Alina Ene; Huy L. Nguyen (CoRR, 2022)

META-STORM: Generalized Fully-Adaptive Variance Reduced SGD for Unbounded Functions. - Zijian Liu 003; Ta Duy Nguyen; Thien Hang Nguyen; Alina Ene; Huy L. Nguyen (CoRR, 2022)

Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise. - Zijian Liu 003; Jiawei Zhang; Zhengyuan Zhou (COLT, 2023)

On the Convergence of AdaGrad(Norm) on ℝd: Beyond Convexity, Non-Asymptotic Rate and Acceleration. - Zijian Liu 003; Ta Duy Nguyen; Alina Ene; Huy L. Nguyen (ICLR, 2023)

High Probability Convergence of Stochastic Gradient Methods. - Zijian Liu 003; Ta Duy Nguyen; Thien Hang Nguyen; Alina Ene; Huy Nguyen (ICML, 2023)

Near-Optimal High-Probability Convergence for Non-Convex Stochastic Optimization with Variance Reduction. - Zijian Liu 003; Perry Dong; Srikanth Jagabathula; Zhengyuan Zhou (CoRR, 2023)

High Probability Convergence of Stochastic Gradient Methods. - Zijian Liu 003; Ta Duy Nguyen; Thien Hang Nguyen; Alina Ene; Huy Le Nguyen (CoRR, 2023)

Stochastic Nonsmooth Convex Optimization with Heavy-Tailed Noises. - Zijian Liu 003; Zhengyuan Zhou (CoRR, 2023)

Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods. - Zijian Liu 003; Zhengyuan Zhou (ICLR, 2024)

On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity. - Junyi Fan; Yuxuan Han; Zijian Liu 003; Jian-Feng Cai 001; Yang Wang 020; Zhengyuan Zhou (ICML, 2024)

On the Last-Iterate Convergence of Shuffling Gradient Methods. - Zijian Liu 003; Zhengyuan Zhou (ICML, 2024)

Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping. - Zijian Liu 003; Zhengyuan Zhou (ICLR, 2025)