Huizhuo Yuan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

State Abstraction

Image Generation

Policy Gradient

Diffusion Models

Top Venues

Publications

Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu
Self-Play Preference Optimization for Language Model Alignment. CoRR (2024)
Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. CoRR (2024)
Yan Wang, Lihao Wang, Yuning Shen, Yiqun Wang, Huizhuo Yuan, Yue Wu, Quanquan Gu
Protein Conformation Generation via Force-Guided SE(3) Diffusion Models. CoRR (2024)
Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation. CoRR (2024)
Chris Junchi Li, Huizhuo Yuan, Gauthier Gidel, Quanquan Gu, Michael I. Jordan
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization. ICML (2023)
Zixiang Chen, Chris Junchi Li, Huizhuo Yuan, Quanquan Gu, Michael I. Jordan
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning. ICLR (2023)
Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu
Fast Sampling via De-randomization for Discrete Diffusion Models. CoRR (2023)
Xiang Zhou, Huizhuo Yuan, Chris Junchi Li, Qingyun Sun
Stochastic Modified Equations for Continuous Limit of Stochastic ADMM. CoRR (2020)
Huizhuo Yuan, Xiangru Lian, Ji Liu, Yuren Zhou
Stochastic Recursive Momentum for Policy Gradient Methods. CoRR (2020)
Yu Chen, Huizhuo Yuan, Yujun Li
Object-Oriented State Abstraction in Reinforcement Learning for Video Games. CoG (2019)
Huizhuo Yuan, Xiangru Lian, Ji Liu
Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization. CoRR (2019)
Huizhuo Yuan, Yuren Zhou, Chris Junchi Li, Qingyun Sun
Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory. ICML (2019)
Huizhuo Yuan, Xiangru Lian, Chris Junchi Li, Ji Liu, Wenqing Hu
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent. NeurIPS (2019)
Huizhuo Yuan, Jinzhu Jia, Zhanxing Zhu
SIPID: A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstruction. ISBI (2018)