Huazhe Xu

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 130

Top Venues

Publications

Chenchang Li, Zihao Ai, Tong Wu, Xiaosa Li, Wenbo Ding, Huazhe Xu
DeformNet: Latent Space Modeling and Dynamics Prediction for Deformable Object Manipulation. ICRA (2024)
Hantao Zhou, Tianying Ji, Jianwei Zhang, Fuchun Sun, Huazhe Xu
RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model. CoRR (2024)
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
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. ICLR (2024)
Zhengrong Xue, Han Zhang, Jingwen Cheng, Zhengmao He, Yuanchen Ju, Changyi Lin, Gu Zhang, Huazhe Xu
ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch. ICRA (2024)
Yuerong Li, Zhengrong Xue, Huazhe Xu
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation. WACV (2024)
Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. CoRR (2024)
Haoran He, Can Chang, Huazhe Xu, Ling Pan
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. CoRR (2024)
Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon S. Du, Huazhe Xu
Rethinking Transformers in Solving POMDPs. CoRR (2024)
Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts. CoRR (2024)
Yuanchen Ju, Kaizhe Hu, Guowei Zhang, Gu Zhang, Mingrun Jiang, Huazhe Xu
Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation. CoRR (2024)
Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. ICLR (2024)
Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann
DittoGym: Learning to Control Soft Shape-Shifting Robots. ICLR (2024)
Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, Silang Wu, Zhecheng Yuan, Zhixuan Liang, Chao Yang, Kaipeng Zhang, Wenqi Shao, Yu Qiao, Huazhe Xu, Mingyu Ding, Ping Luo
RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation. CoRR (2024)
Changyi Lin, Han Zhang, Jikai Xu, Lei Wu, Huazhe Xu
9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation. IEEE Robotics Autom. Lett. 9 (2) (2024)
Dehao Wei, Huazhe Xu
A Wearable Robotic Hand for Hand-over-Hand Imitation Learning. ICRA (2024)
Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. CoRR (2024)
Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu
3D Diffusion Policy. CoRR (2024)
Zhecheng Yuan, Tianming Wei, Shuiqi Cheng, Gu Zhang, Yuanpei Chen, Huazhe Xu
Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning. CoRR (2024)
Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu
World Models with Hints of Large Language Models for Goal Achieving. CoRR (2024)
Zhengmao He, Kun Lei, Yanjie Ze, Koushil Sreenath, Zhongyu Li, Huazhe Xu
Learning Visual Quadrupedal Loco-Manipulation from Demonstrations. CoRR (2024)
Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang
GenSim: Generating Robotic Simulation Tasks via Large Language Models. ICLR (2024)
Chongkai Gao, Zhengrong Xue, Shuying Deng, Tianhai Liang, Siqi Yang, Lin Shao, Huazhe Xu
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation. CoRR (2024)
Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann
DittoGym: Learning to Control Soft Shape-Shifting Robots. CoRR (2024)
Guoping Pan, Qingwei Ben, Zhecheng Yuan, Guangqi Jiang, Yandong Ji, Jiangmiao Pang, Houde Liu, Huazhe Xu
RoboDuet: A Framework Affording Mobile-Manipulation and Cross-Embodiment. CoRR (2024)
Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. CoRR (2024)
Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL. CoRR (2024)
Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon Shaolei Du, Huazhe Xu
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning. ICLR (2024)
Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. ICLR (2024)
Chenchang Li, Zihao Ai, Tong Wu, Xiaosa Li, Wenbo Ding, Huazhe Xu
DeformNet: Latent Space Modeling and Dynamics Prediction for Deformable Object Manipulation. CoRR (2024)
Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu
RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks. Int. J. Robotics Res. 43 (4) (2024)
Sizhe Yang, Yanjie Ze, Huazhe Xu
MoVie: Visual Model-Based Policy Adaptation for View Generalization. NeurIPS (2023)
Sizhe Yang, Yanjie Ze, Huazhe Xu
MoVie: Visual Model-Based Policy Adaptation for View Generalization. CoRR (2023)
Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
CEIL: Generalized Contextual Imitation Learning. CoRR (2023)
Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. ICLR (2023)
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. CoRR (2023)
Dehao Wei, Huazhe Xu
A Wearable Robotic Hand for Hand-over-Hand Imitation Learning. CoRR (2023)
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
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. CoRR (2023)
Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon S. Du, Huazhe Xu
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning. CoRR (2023)
Yanjie Ze, Yuyao Liu, Ruizhe Shi, Jiaxin Qin, Zhecheng Yuan, Jiashun Wang, Huazhe Xu
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation. CoRR (2023)
Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Huazhe Xu
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. NeurIPS (2023)
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. NeurIPS (2023)
Ziyu Wang, Yanjie Ze, Yifei Sun, Zhecheng Yuan, Huazhe Xu
Generalizable Visual Reinforcement Learning with Segment Anything Model. CoRR (2023)
Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. CoRR (2023)
Changyi Lin, Ziqi Lin, Shaoxiong Wang, Huazhe Xu
DTact: A Vision-Based Tactile Sensor that Measures High-Resolution 3D Geometry Directly from Darkness. ICRA (2023)
Tao Huang, Guangqi Jiang, Yanjie Ze, Huazhe Xu
Diffusion Reward: Learning Rewards via Conditional Video Diffusion. CoRR (2023)
Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? NeurIPS (2023)
Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu
USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation. ICRA (2023)
Linfeng Zhao, Huazhe Xu, Lawson L. S. Wong
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation. ICLR (2023)
Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu
Decision Transformer under Random Frame Dropping. CoRR (2023)
Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? CoRR (2023)
Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
CEIL: Generalized Contextual Imitation Learning. NeurIPS (2023)
Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang
GenSim: Generating Robotic Simulation Tasks via Large Language Models. CoRR (2023)
Zhengrong Xue, Han Zhang, Jingwen Cheng, Zhengmao He, Yuanchen Ju, Changyi Lin, Gu Zhang, Huazhe Xu
ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch. CoRR (2023)
Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu
Decision Transformer under Random Frame Dropping. ICLR (2023)
Yunfei Li, Chaoyi Pan, Huazhe Xu, Xiaolong Wang, Yi Wu
Efficient Bimanual Handover and Rearrangement via Symmetry-Aware Actor-Critic Learning. ICRA (2023)
Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Xiaolong Wang, Huazhe Xu
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization. CoRR (2023)
Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. ICML (2023)
Sifan Ye, Yixing Wang, Jiaman Li, Dennis Park, C. Karen Liu, Huazhe Xu, Jiajun Wu
Scene Synthesis from Human Motion. CoRR (2023)
Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu
Extraneousness-Aware Imitation Learning. ICRA (2023)
Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. CoRR (2023)
Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. CoRR (2023)
Yuerong Li, Zhengrong Xue, Huazhe Xu
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation. CoRR (2023)
Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. CoRL (2023)
Pu Hua, Yubei Chen, Huazhe Xu
Simple Emergent Action Representations from Multi-Task Policy Training. ICLR (2023)
Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools. CoRR (2023)
Tianying Ji, Yu Luo, Fuchun Sun, Xianyuan Zhan, Jianwei Zhang, Huazhe Xu
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic. CoRR (2023)
Changyi Lin, Han Zhang, Jikai Xu, Lei Wu, Huazhe Xu
9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation. CoRR (2023)
Yanjie Ze, Yuyao Liu, Ruizhe Shi, Jiaxin Qin, Zhecheng Yuan, Jiashun Wang, Huazhe Xu
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation. NeurIPS (2023)
Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. ICML (2022)
Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers. ICLR (2022)
Pu Hua, Yubei Chen, Huazhe Xu
Simple Emergent Action Representations from Multi-Task Policy Training. CoRR (2022)
Sifan Ye, Yixing Wang, Jiaman Li, Dennis Park, C. Karen Liu, Huazhe Xu, Jiajun Wu
Scene Synthesis from Human Motion. SIGGRAPH Asia (2022)
Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu
USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation. CoRR (2022)
Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. NeurIPS (2022)
Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. CoRR (2022)
Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. CoRR (2022)
Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. CoRR (2022)
Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
Towards Learning to Play Piano with Dexterous Hands and Touch. IROS (2022)
Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu
Extraneousness-Aware Imitation Learning. CoRR (2022)
Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward H. Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation. CoRR (2022)
Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning. NeurIPS (2022)
Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. ICML (2022)
Linfeng Zhao, Huazhe Xu, Lawson L. S. Wong
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation. CoRR (2022)
Changyi Lin, Ziqi Lin, Shaoxiong Wang, Huazhe Xu
DTact: A Vision-Based Tactile Sensor that Measures High-Resolution 3D Geometry Directly from Darkness. CoRR (2022)
Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. CoRR (2022)
Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning. CoRR (2022)
Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. CoRR (2022)
Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward H. Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation. CoRL (2022)
Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks. Robotics: Science and Systems (2022)
Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. IJCAI (2022)
Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra
PyTouch: A Machine Learning Library for Touch Processing. ICRA (2021)
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
NovelD: A Simple yet Effective Exploration Criterion. NeurIPS (2021)
Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. CoRR (2021)
Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers. CoRR (2021)
Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, Xiaolong Wang
Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes. CVPR (2021)
Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. ICLR (2021)
Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu
Solving Compositional Reinforcement Learning Problems via Task Reduction. ICLR (2021)
Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang
Multi-Person 3D Motion Prediction with Multi-Range Transformers. CoRR (2021)
Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon S. Du, Yu Wang, Yi Wu
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. CoRR (2021)
Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang
Multi-Person 3D Motion Prediction with Multi-Range Transformers. NeurIPS (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Huazhe Xu