Zhou, Yuhao

22 publications

NeurIPS 2025 A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees Yuhao Zhou, Jintao Xu, Bingrui Li, Chenglong Bao, Chao Ding, Jun Zhu

NeurIPS 2025 Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Zhiyuan Liang, Dongwen Tang, Yuhao Zhou, Xuanlei Zhao, Mingjia Shi, Wangbo Zhao, Zekai Li, Peihao Wang, Konstantin Schürholt, Damian Borth, Michael M. Bronstein, Yang You, Zhangyang Wang, Kai Wang

ICCV 2025 EA-ViT: Efficient Adaptation for Elastic Vision Transformer Chen Zhu, Wangbo Zhao, Huiwen Zhang, Yuhao Zhou, Weidong Tang, Shuo Wang, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Kai Wang, Dawei Yang

CVPR 2025 Ferret: An Efficient Online Continual Learning Framework Under Varying Memory Constraints Yuhao Zhou, Yuxin Tian, Jindi Lv, Mingjia Shi, Yuanxi Li, Qing Ye, Shuhao Zhang, Jiancheng Lv

NeurIPS 2025 Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths Jindi Lv, Yuhao Zhou, Mingjia Shi, Zhiyuan Liang, Panpan Zhang, Xiaojiang Peng, Wangbo Zhao, Zheng Zhu, Jiancheng Lv, Qing Ye, Kai Wang

NeurIPS 2025 REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training Ziqiao Wang, Wangbo Zhao, Yuhao Zhou, Zekai Li, Zhiyuan Liang, Mingjia Shi, Xuanlei Zhao, Pengfei Zhou, Kaipeng Zhang, Zhangyang Wang, Kai Wang, Yang You

NeurIPS 2025 Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning Yuhao Zhou, Yiheng Wang, Xuming He, Ruoyao Xiao, Zhiwei Li, Qiantai Feng, Zijie Guo, Yuejin Yang, Hao Wu, Wenxuan Huang, Jiaqi Wei, Dan Si, Yao Xiuqi, Jia Bu, Haiwen Huang, Tianfan Fu, Shixiang Tang, Ben Fei, Dongzhan Zhou, Fenghua Ling, Yan Lu, Siqi Sun, Chenhui Li, Guanjie Zheng, Jiancheng Lv, Wenlong Zhang, Lei Bai

ICLR 2024 Improving Generalization of Alignment with Human Preferences Through Group Invariant Learning Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang

ICLR 2024 The Blessing of Randomness: SDE Beats ODE in General Diffusion-Based Image Editing Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li

ICML 2024 Training Large Language Models for Reasoning Through Reverse Curriculum Reinforcement Learning Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang

ICML 2024 Unifying Bayesian Flow Networks and Diffusion Models Through Stochastic Differential Equations Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li

ICCV 2023 Communication-Efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence Yuhao Zhou, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv

NeurIPSW 2023 Delve into PPO: Implementation Matters for Stable RLHF Rui Zheng, Shihan Dou, Songyang Gao, Yuan Hua, Wei Shen, Binghai Wang, Yan Liu, Senjie Jin, Yuhao Zhou, Limao Xiong, Lu Chen, Zhiheng Xi, Nuo Xu, Wenbin Lai, Minghao Zhu, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang

NeurIPS 2023 PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiancheng Lv

NeurIPS 2022 DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

NeurIPS 2022 Fast Instrument Learning with Faster Rates Ziyu Wang, Yuhao Zhou, Jun Zhu

NeurIPS 2022 Gradient Estimation with Discrete Stein Operators Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester W. Mackey

NeurIPSW 2022 On Equivalences Between Weight and Function-Space Langevin Dynamics Ziyu Wang, Yuhao Zhou, Ruqi Zhang, Jun Zhu

NeurIPS 2021 Scalable Quasi-Bayesian Inference for Instrumental Variable Regression Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu

ICML 2020 Nonparametric Score Estimators Yuhao Zhou, Jiaxin Shi, Jun Zhu

NeurIPS 2020 Wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, Michael Auli

ICLR 2019 Neural Graph Evolution: Towards Efficient Automatic Robot Design Tingwu Wang, Yuhao Zhou, Sanja Fidler, Jimmy Ba