2024
Quantum Maximum Entropy Inference and Hamiltonian Learning.
CoRR, 2024

2023
Parameter-efficient fine-tuning of large-scale pre-trained language models.
Nat. Mac. Intell., March, 2023

Convergence Analysis for Restarted Anderson Mixing and Beyond.
CoRR, 2023

2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.
CoRR, 2022

A Variant of Anderson Mixing with Minimal Memory Size.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021