Liu, Zijian

11 publications

ICML 2025 Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Zijian Liu, Zhengyuan Zhou

AAAI 2025 Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition Xingmei Wang, Jinghan Liu, Jiaxiang Meng, Boquan Li, Zijian Liu

ICLR 2025 Nonconvex Stochastic Optimization Under Heavy-Tailed Noises: Optimal Convergence Without Gradient Clipping Zijian Liu, Zhengyuan Zhou

ICML 2024 On the Convergence of Projected Bures-Wasserstein Gradient Descent Under Euclidean Strong Convexity Junyi Fan, Yuxuan Han, Zijian Liu, Jian-Feng Cai, Yang Wang, Zhengyuan Zhou

ICML 2024 On the Last-Iterate Convergence of Shuffling Gradient Methods Zijian Liu, Zhengyuan Zhou

ICLR 2024 Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods Zijian Liu, Zhengyuan Zhou

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

ICML 2023 High Probability Convergence of Stochastic Gradient Methods Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen

ICLR 2023 On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy Nguyen

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

ICML 2022 Distributionally Robust $q$-Learning Zijian Liu, Qinxun Bai, Jose Blanchet, Perry Dong, Wei Xu, Zhengqing Zhou, Zhengyuan Zhou