Stochastic Anderson Mixing for Nonconvex Stochastic Optimization. - Fuchao Wei; Chenglong Bao; Yang Liu 005 (NeurIPS, 2021)

A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications. - Fuchao Wei; Chenglong Bao; Yang Liu 005 (ICLR, 2022)

A Variant of Anderson Mixing with Minimal Memory Size. - Fuchao Wei; Chenglong Bao; Yang Liu; Guangwen Yang (NeurIPS, 2022)

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models. - Ning Ding 002; Yujia Qin; Guang Yang 046; Fuchao Wei; Zonghan Yang; Yusheng Su; Shengding Hu; Yulin Chen; Chi-Min Chan; Weize Chen; Jing Yi; Weilin Zhao; et al. (CoRR, 2022)

Convergence Analysis for Restarted Anderson Mixing and Beyond. - Fuchao Wei; Chenglong Bao; Yang Liu; Guangwen Yang (CoRR, 2023)

Parameter-efficient fine-tuning of large-scale pre-trained language models. - Ning Ding 002; Yujia Qin; Guang Yang 046; Fuchao Wei; Zonghan Yang; Yusheng Su; Shengding Hu; Yulin Chen; Chi-Min Chan; Weize Chen; Jing Yi; Weilin Zhao; et al. (Nat. Mac. Intell., 2023)

Quantum Maximum Entropy Inference and Hamiltonian Learning. - Minbo Gao; Zhengfeng Ji; Fuchao Wei (CoRR, 2024)