Xu, Huazhe

72 publications

ICCV 2025 4D Visual Pre-Training for Robot Learning Chengkai Hou, Yanjie Ze, Yankai Fu, Zeyu Gao, Songbo Hu, Yue Yu, Shanghang Zhang, Huazhe Xu
ICML 2025 A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control Zilin Kang, Chenyuan Hu, Yu Luo, Zhecheng Yuan, Ruijie Zheng, Huazhe Xu
ICLRW 2025 DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning Zhengrong Xue, Shuying Deng, Zhenyang Chen, Yixuan Wang, Zhecheng Yuan, Huazhe Xu
CoRL 2025 DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration Lingxiao Guo, Zhengrong Xue, Zijing Xu, Huazhe Xu
ICLR 2025 DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo Junzhe Zhu, Yuanchen Ju, Junyi Zhang, Muhan Wang, Zhecheng Yuan, Kaizhe Hu, Huazhe Xu
CoRL 2025 FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots Botian Xu, Haoyang Weng, Qingzhou Lu, Yang Gao, Huazhe Xu
ICLR 2025 Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He, Can Chang, Huazhe Xu, Ling Pan
ICML 2025 MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning Suning Huang, Zheyu Aqa Zhang, Tianhai Liang, Yihan Xu, Zhehao Kou, Chenhao Lu, Guowei Xu, Zhengrong Xue, Huazhe Xu
ICLR 2025 Robots Pre-Train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets Guangqi Jiang, Yifei Sun, Tao Huang, Huanyu Li, Yongyuan Liang, Huazhe Xu
ICLR 2025 Stem-OB: Generalizable Visual Imitation Learning with Stem-like Convergent Observation Through Diffusion Inversion Kaizhe Hu, Zihang Rui, Yao He, Yuyao Liu, Pu Hua, Huazhe Xu
CVPR 2025 Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation Yu Qi, Yuanchen Ju, Tianming Wei, Chi Chu, Lawson L.S. Wong, Huazhe Xu
ICML 2024 ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu
ICLR 2024 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
ECCV 2024 Diffusion Reward: Learning Rewards via Conditional Video Diffusion Tao Huang, Guangqi Jiang, Yanjie Ze, Huazhe Xu
ICLR 2024 DittoGym: Learning to Control Soft Shape-Shifting Robots Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann
ICLR 2024 DrM: Mastering Visual Reinforcement Learning Through Dormant Ratio Minimization Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé Iii, Furong Huang, Huazhe Xu
CoRL 2024 GenSim2: Scaling Robot Data Generation with Multi-Modal and Reasoning LLMs Pu Hua, Minghuan Liu, Annabella Macaluso, Yunfeng Lin, Weinan Zhang, Huazhe Xu, Lirui Wang
ICLR 2024 GenSim: Generating Robotic Simulation Tasks via Large Language Models Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang
NeurIPS 2024 Key-Grid: Unsupervised 3D Keypoints Detection Using Grid Heatmap Features Chengkai Hou, Zhengrong Xue, Bingyang Zhou, Jinghan Ke, Lin Shao, Huazhe Xu
CoRL 2024 Learning to Manipulate Anywhere: A Visual Generalizable Framework for Reinforcement Learning Zhecheng Yuan, Tianming Wei, Shuiqi Cheng, Gu Zhang, Yuanpei Chen, Huazhe Xu
NeurIPS 2024 Make-an-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu
ICML 2024 OMPO: A Unified Framework for RL Under Policy and Dynamics Shifts Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan
WACV 2024 OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation Yuerong Li, Zhengrong Xue, Huazhe Xu
ICML 2024 Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan
ICML 2024 Premier-TACO Is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé Iii, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
ICML 2024 Rethinking Transformers in Solving POMDPs Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon Shaolei Du, Huazhe Xu
CoRL 2024 RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation Without Point Cloud Segmentation Chongkai Gao, Zhengrong Xue, Shuying Deng, Tianhai Liang, Siqi Yang, Lin Shao, Huazhe Xu
ECCV 2024 Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation Yuanchen Ju, Kaizhe Hu, Guowei Zhang, Gu Zhang, Mingrun Jiang, Huazhe Xu
ICMLW 2024 RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model Hantao Zhou, Tianying Ji, Lukas Sommerhalder, Michael Görner, Norman Hendrich, Fuchun Sun, Jianwei Dr. Zhang, Huazhe Xu
ICML 2024 Seizing Serendipity: Exploiting the Value of past Success in Off-Policy Actor-Critic Tianying Ji, Yu Luo, Fuchun Sun, Xianyuan Zhan, Jianwei Zhang, Huazhe Xu
ICLR 2024 Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu
ICLR 2024 Unleashing the Power of Pre-Trained Language Models for Offline Reinforcement Learning Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon Shaolei Du, Huazhe Xu
NeurIPSW 2023 $\texttt{PREMIER-TACO}$ Is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé Iii, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Basu, Furong Huang
NeurIPS 2023 $\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé Iii, Furong Huang
NeurIPS 2023 CEIL: Generalized Contextual Imitation Learning Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
NeurIPSW 2023 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
NeurIPS 2023 Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu
ICLR 2023 Decision Transformer Under Random Frame Dropping Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu
NeurIPS 2023 H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation Yanjie Ze, Yuyao Liu, Ruizhe Shi, Jiaxin Qin, Zhecheng Yuan, Jiashun Wang, Huazhe Xu
ICLR 2023 Is Model Ensemble Necessary? Model-Based RL via a Single Model with Lipschitz Regularized Value Function Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
NeurIPS 2023 MoVie: Visual Model-Based Policy Adaptation for View Generalization Sizhe Yang, Yanjie Ze, Huazhe Xu
ICML 2023 On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang
NeurIPS 2023 RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Huazhe Xu
CoRL 2023 RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu
ICLR 2023 Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation Linfeng Zhao, Huazhe Xu, Lawson L.S. Wong
ICLR 2023 Simple Emergent Action Representations from Multi-Task Policy Training Pu Hua, Yubei Chen, Huazhe Xu
NeurIPSW 2023 Unleashing the Power of Pre-Trained Language Models for Offline Reinforcement Learning Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon Shaolei Du, Huazhe Xu
IJCAI 2022 Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu
NeurIPS 2022 E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu
NeurIPSW 2022 Is Model Ensemble Necessary? Model-Based RL via a Single Model with Lipschitz Regularized Value Function Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
ICLR 2022 Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang
ICML 2022 Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu
ICML 2022 Plan Better amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
NeurIPS 2022 Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu
ICMLW 2022 Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu
NeurIPSW 2022 Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation Linfeng Zhao, Huazhe Xu, Lawson L.S. Wong
CoRL 2022 See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A Lee, Huazhe Xu, Edward Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu
NeurIPSW 2022 Simple Emergent Action Representations from Multi-Task Policy Training Pu Hua, Yubei Chen, Huazhe Xu
ICLR 2021 Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu
NeurIPSW 2021 Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang
NeurIPS 2021 Multi-Person 3D Motion Prediction with Multi-Range Transformers Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang
NeurIPS 2021 NovelD: A Simple yet Effective Exploration Criterion Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E Gonzalez, Yuandong Tian
NeurIPSW 2021 Plan Better amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
ICLR 2021 Solving Compositional Reinforcement Learning Problems via Task Reduction Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu
CVPR 2021 Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, Xiaolong Wang
ECCV 2020 Hierarchical Style-Based Networks for Motion Synthesis Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell
ICLR 2020 Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling Yuping Luo, Huazhe Xu, Tengyu Ma
NeurIPS 2020 Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang
ICML 2020 Video Prediction via Example Guidance Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell
ICLR 2019 Algorithmic Framework for Model-Based Deep Reinforcement Learning with Theoretical Guarantees Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma
CVPR 2017 End-to-End Learning of Driving Models from Large-Scale Video Datasets Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell
CVPR 2016 Natural Language Object Retrieval Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell