Huizhuo Yuan

29 papers A* 10C 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Causal Attention with Lookahead Keys.
CoRR
Zhuoqing Song, Peng Sun, Huizhuo Yuan, Quanquan Gu
2025 J jnl
Game-Theoretic Regularized Self-Play Alignment of Large Language Models.
CoRR
Xiaohang Tang, Sangwoong Yoon, Seongho Son, Huizhuo Yuan, Quanquan Gu, Ilija Bogunovic
2025 J jnl
Group Representational Position Encoding.
CoRR
Yifan Zhang, Zixiang Chen, Yifeng Liu, Zhen Qin, Huizhuo Yuan, Kangping Xu, Yang Yuan, Quanquan Gu, Andrew Chi-Chih Yao
2025 A* conf
MARS: Unleashing the Power of Variance Reduction for Training Large Models.
ICML
Huizhuo Yuan, Yifeng Liu, Shuang Wu, Xun Zhou, Quanquan Gu
2025 J jnl
On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning.
CoRR
Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Yang Yuan, Quanquan Gu, Andrew C. Yao
2025 A* conf
Self-Play Preference Optimization for Language Model Alignment.
ICLR
Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu
2025 J jnl
Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression.
CoRR
Yuning Shen, Lihao Wang, Huizhuo Yuan, Yan Wang, Bangji Yang, Quanquan Gu
2025 J jnl
Tensor Product Attention Is All You Need.
CoRR
Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Zhen Qin, Yang Yuan, Quanquan Gu, Andrew Chi-Chih Yao
2024 J jnl
Accelerated Preference Optimization for Large Language Model Alignment.
CoRR
Jiafan He, Huizhuo Yuan, Quanquan Gu
2024 A* conf
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time.
NeurIPS
Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu
2024 J jnl
MARS: Unleashing the Power of Variance Reduction for Training Large Models.
CoRR
Huizhuo Yuan, Yifeng Liu, Shuang Wu, Xun Zhou, Quanquan Gu
2024 A* conf
Protein Conformation Generation via Force-Guided SE(3) Diffusion Models.
ICML
Yan Wang, Lihao Wang, Yuning Shen, Yiqun Wang, Huizhuo Yuan, Yue Wu, Quanquan Gu
2024 J jnl
Protein Conformation Generation via Force-Guided SE(3) Diffusion Models.
CoRR
Yan Wang, Lihao Wang, Yuning Shen, Yiqun Wang, Huizhuo Yuan, Yue Wu, Quanquan Gu
2024 A* conf
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.
ICML
Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu
2024 J jnl
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.
CoRR
Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu
2024 J jnl
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation.
CoRR
Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu
2024 A* conf
Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation.
NeurIPS
Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu
2024 J jnl
Self-Play Preference Optimization for Language Model Alignment.
CoRR
Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu
2024 J jnl
Towards Simple and Provable Parameter-Free Adaptive Gradient Methods.
CoRR
Yuanzhe Tao, Huizhuo Yuan, Xun Zhou, Yuan Cao, Quanquan Gu
2023 A* conf
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning.
ICLR
Zixiang Chen, Chris Junchi Li, Huizhuo Yuan, Quanquan Gu, Michael I. Jordan
2023 J jnl
Fast Sampling via De-randomization for Discrete Diffusion Models.
CoRR
Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu
2023 A* conf
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization.
ICML
Chris Junchi Li, Huizhuo Yuan, Gauthier Gidel, Quanquan Gu, Michael I. Jordan
2020 J jnl
Stochastic Modified Equations for Continuous Limit of Stochastic ADMM.
CoRR
Xiang Zhou, Huizhuo Yuan, Chris Junchi Li, Qingyun Sun
2020 J jnl
Stochastic Recursive Momentum for Policy Gradient Methods.
CoRR
Huizhuo Yuan, Xiangru Lian, Ji Liu, Yuren Zhou
2019 A* conf
Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory.
ICML
Huizhuo Yuan, Yuren Zhou, Chris Junchi Li, Qingyun Sun
2019 A* conf
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent.
NeurIPS
Huizhuo Yuan, Xiangru Lian, Chris Junchi Li, Ji Liu, Wenqing Hu
2019 C conf
Object-Oriented State Abstraction in Reinforcement Learning for Video Games.
CoG
Yu Chen, Huizhuo Yuan, Yujun Li
2019 J jnl
Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization.
CoRR
Huizhuo Yuan, Xiangru Lian, Ji Liu
2018 — conf
SIPID: A deep learning framework for sinogram interpolation and image denoising in low-dose CT reconstruction.
ISBI
Huizhuo Yuan, Jinzhu Jia, Zhanxing Zhu