Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee. - Yuanshi Liu; Cong Fang 001; Tong Zhang 001 (NeurIPS, 2023)

Accelerated Gradient Algorithms with Adaptive Subspace Search for Instance-Faster Optimization. - Yuanshi Liu; Hanzhen Zhao; Yang Xu 055; Pengyun Yue; Cong Fang 001 (CoRR, 2023)

The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimization. - Haihan Zhang; Yuanshi Liu; Qianwen Chen; Cong Fang 001 (CoRR, 2024)

Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition. - Yuanshi Liu; Haihan Zhang; Qian Chen; Cong Fang 001 (CoRR, 2025)

Learning Curves of Stochastic Gradient Descent in Kernel Regression. - Haihan Zhang; Weicheng Lin; Yuanshi Liu; Cong Fang 001 (CoRR, 2025)

TOGA-Based Fuzzy Grey Cognitive Map for Spacecraft Debris Avoidance. - Chenhui Qin; Yuanshi Liu; Tong Wang 003; Jianbin Qiu; Min Li (IEEE Trans. Fuzzy Syst., 2025)