High Probability Convergence of Adam Under Unbounded Gradients and Affine Variance Noise. - Yusu Hong; Junhong Lin (CoRR, 2023)

B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. - Mouxiang Chen; Zhongxin Liu 002; He Tao; Yusu Hong; David Lo 001; Xin Xia 001; Jianling Sun (ASE, 2024)

On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions. - Yusu Hong; Junhong Lin (NeurIPS, 2024)

Revisiting Convergence of AdaGrad with Relaxed Assumptions. - Yusu Hong; Junhong Lin (UAI, 2024)

High probability bounds on AdaGrad for constrained weakly convex optimization. - Yusu Hong; Junhong Lin (J. Complex., 2025)