Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots. - Yuanyuan Liu 001; Fanhua Shang; Weixin An; Hongying Liu 001; Zhouchen Lin (ICML, 2022)

A Numerical DEs Perspective on Unfolded Linearized ADMM Networks for Inverse Problems. - Weixin An; Yingjie Yue; Yuanyuan Liu 001; Fanhua Shang; Hongying Liu 001 (ACM Multimedia, 2022)

Loopless Variance Reduced Stochastic ADMM for Equality Constrained Problems in IoT Applications. - Yuanyuan Liu 001; Jiacheng Geng; Fanhua Shang; Weixin An; Hongying Liu 001; Qi Zhu (IEEE Internet Things J., 2022)

Laplacian Smoothing Stochastic ADMMs With Differential Privacy Guarantees. - Yuanyuan Liu 001; Jiacheng Geng; Fanhua Shang; Weixin An; Hongying Liu 001; Qi Zhu; Wei Feng 005 (IEEE Trans. Inf. Forensics Secur., 2022)

A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization. - Yuanyuan Liu 001; Fanhua Shang; Weixin An; Junhao Liu; Hongying Liu 001; Zhouchen Lin (NeurIPS, 2023)

Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications. - Weixin An; Yuanyuan Liu 001; Fanhua Shang; Hongying Liu 001 (NeurIPS, 2024)

DEs-Inspired Accelerated Unfolded Linearized ADMM Networks for Inverse Problems. - Weixin An; Yuanyuan Liu 001; Fanhua Shang; Hongying Liu 001; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2025)