Huizhuo Yuan

According to our database, Huizhuo Yuan authored at least 13 papers between 2018 and 2024.

Collaborative distances:

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

2024

Protein Conformation Generation via Force-Guided SE(3) Diffusion Models.

Yan Wang, Lihao Wang, Yuning Shen, Yiqun Wang, Huizhuo Yuan, Yue Wu, Quanquan Gu

CoRR, 2024

Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation.

Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu

CoRR, 2024

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.

Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu

CoRR, 2024

2023

Fast Sampling via De-randomization for Discrete Diffusion Models.

Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu

CoRR, 2023

Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization.

Chris Junchi Li, Huizhuo Yuan, Gauthier Gidel, Quanquan Gu, Michael I. Jordan

Proceedings of the International Conference on Machine Learning, 2023

A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning.

Zixiang Chen, Chris Junchi Li, Huizhuo Yuan, Quanquan Gu, Michael I. Jordan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2020

Stochastic Recursive Momentum for Policy Gradient Methods.

Huizhuo Yuan, Xiangru Lian, Ji Liu, Yuren Zhou

CoRR, 2020

Stochastic Modified Equations for Continuous Limit of Stochastic ADMM.

Xiang Zhou, Huizhuo Yuan, Chris Junchi Li, Qingyun Sun

CoRR, 2020

2019

Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization.

Huizhuo Yuan, Xiangru Lian, Ji Liu

CoRR, 2019

Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent.

Huizhuo Yuan, Xiangru Lian, Chris Junchi Li, Ji Liu, Wenqing Hu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory.

Huizhuo Yuan, Yuren Zhou, Chris Junchi Li, Qingyun Sun

Proceedings of the 36th International Conference on Machine Learning, 2019

Object-Oriented State Abstraction in Reinforcement Learning for Video Games.

Yu Chen, Huizhuo Yuan, Yujun Li

Proceedings of the IEEE Conference on Games, 2019

2018

SIPID: A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstruction.

Huizhuo Yuan, Jinzhu Jia, Zhanxing Zhu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018