Fuchao Wei

According to our database, Fuchao Wei authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantum Maximum Entropy Inference and Hamiltonian Learning.

Minbo Gao, Zhengfeng Ji, Fuchao Wei

CoRR, 2024

2023

Parameter-efficient fine-tuning of large-scale pre-trained language models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

Nat. Mac. Intell., March, 2023

Convergence Analysis for Restarted Anderson Mixing and Beyond.

Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang

CoRR, 2023

2022

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

CoRR, 2022

A Variant of Anderson Mixing with Minimal Memory Size.

Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications.

Fuchao Wei, Chenglong Bao, Yang Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Stochastic Anderson Mixing for Nonconvex Stochastic Optimization.

Fuchao Wei, Chenglong Bao, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021