Huazhe Xu

According to our database, Huazhe Xu authored at least 89 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation.

Changyi Lin, Han Zhang, Jikai Xu, Lei Wu, Huazhe Xu

IEEE Robotics Autom. Lett., February, 2024

RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks.

Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu

Int. J. Robotics Res., 2024

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

CoRR, 2024

MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning.

Suning Huang, Zheyu Zhang, Tianhai Liang, Yihan Xu, Zhehao Kou, Chenhao Lu, Guowei Xu, Zhengrong Xue, Huazhe Xu

CoRR, 2024

DTactive: A Vision-Based Tactile Sensor with Active Surface.

Jikai Xu, Lei Wu, Changyi Lin, Ding Zhao, Huazhe Xu

CoRR, 2024

On the Evaluation of Generative Robotic Simulations.

Feng Chen, Botian Xu, Pu Hua, Peiqi Duan, Yanchao Yang, Yi Ma, Huazhe Xu

CoRR, 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

CoRR, 2024

Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features.

Chengkai Hou, Zhengrong Xue, Bingyang Zhou, Jinghan Ke, Lin Shao, Huazhe Xu

CoRR, 2024

Catch It! Learning to Catch in Flight with Mobile Dexterous Hands.

Yuanhang Zhang, Tianhai Liang, Zhenyang Chen, Yanjie Ze, Huazhe Xu

CoRR, 2024

Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning.

Zhecheng Yuan, Tianming Wei, Shuiqi Cheng, Gu Zhang, Yuanpei Chen, Huazhe Xu

CoRR, 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

CoRR, 2024

RoboGolf: Mastering Real-World Minigolf with a Reflective Multi-Modality Vision-Language Model.

Hantao Zhou, Tianying Ji, Jianwei Zhang, Fuchun Sun, Huazhe Xu

CoRR, 2024

World Models with Hints of Large Language Models for Goal Achieving.

Zeyuan Liu, Ziyu Huan, Xiyao Wang, Jiafei Lyu, Jian Tao, Xiu Li, Furong Huang, Huazhe Xu

CoRR, 2024

Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets.

Haoran He, Can Chang, Huazhe Xu, Ling Pan

CoRR, 2024

Learning Visual Quadrupedal Loco-Manipulation from Demonstrations.

Zhengmao He, Kun Lei, Yanjie Ze, Koushil Sreenath, Zhongyu Li, Huazhe Xu

CoRR, 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

CoRR, 2024

RoboDuet: A Framework Affording Mobile-Manipulation and Cross-Embodiment.

Guoping Pan, Qingwei Ben, Zhecheng Yuan, Guangqi Jiang, Yandong Ji, Jiangmiao Pang, Houde Liu, Huazhe Xu

CoRR, 2024

3D Diffusion Policy.

Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu

CoRR, 2024

RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation.

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

CoRR, 2024

OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation.

Yuerong Li, Zhengrong Xue, Huazhe Xu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch.

Zhengrong Xue, Han Zhang, Jingwen Cheng, Zhengmao He, Yuanchen Ju, Changyi Lin, Gu Zhang, Huazhe Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

A Wearable Robotic Hand for Hand-over-Hand Imitation Learning.

Dehao Wei, Huazhe Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

DeformNet: Latent Space Modeling and Dynamics Prediction for Deformable Object Manipulation.

Chenchang Li, Zihao Ai, Tong Wu, Xiaosa Li, Wenbo Ding, Huazhe Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OMPO: A Unified Framework for RL under Policy and Dynamics Shifts.

Yu Luo, Tianying Ji, Fuchun Sun, Jianwei Zhang, Huazhe Xu, Xianyuan Zhan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rethinking Transformers in Solving POMDPs.

Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon Shaolei Du, Huazhe Xu

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning.

Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon Shaolei Du, Huazhe Xu

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DittoGym: Learning to Control Soft Shape-Shifting Robots.

Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

Diffusion Reward: Learning Rewards via Conditional Video Diffusion.

Tao Huang, Guangqi Jiang, Yanjie Ze, Huazhe Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Generalizable Visual Reinforcement Learning with Segment Anything Model.

Ziyu Wang, Yanjie Ze, Yifei Sun, Zhecheng Yuan, Huazhe Xu

CoRR, 2023

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization.

Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Xiaolong Wang, Huazhe Xu

CoRR, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization.

Zhecheng Yuan, Sizhe Yang, Pu Hua, Can Chang, Kaizhe Hu, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MoVie: Visual Model-Based Policy Adaptation for View Generalization.

Sizhe Yang, Yanjie Ze, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CEIL: Generalized Contextual Imitation Learning.

Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?

Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extraneousness-Aware Imitation Learning.

Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation.

Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

DTact: A Vision-Based Tactile Sensor that Measures High-Resolution 3D Geometry Directly from Darkness.

Changyi Lin, Ziqi Lin, Shaoxiong Wang, Huazhe Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Efficient Bimanual Handover and Rearrangement via Symmetry-Aware Actor-Critic Learning.

Yunfei Li, Chaoyi Pan, Huazhe Xu, Xiaolong Wang, Yi Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation.

Linfeng Zhao, Huazhe Xu, Lawson L. S. Wong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Simple Emergent Action Representations from Multi-Task Policy Training.

Pu Hua, Yubei Chen, Huazhe Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Decision Transformer under Random Frame Dropping.

Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools.

Haochen Shi, Huazhe Xu, Samuel Clarke, Yunzhu Li, Jiajun Wu

Proceedings of the Conference on Robot Learning, 2023

2022

Scene Synthesis from Human Motion.

Sifan Ye, Yixing Wang, Jiaman Li, Dennis Park, C. Karen Liu, Huazhe Xu, Jiajun Wu

Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks.

Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning.

Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance.

Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Learning to Play Piano with Dexterous Hands and Touch.

Huazhe Xu, Yuping Luo, Shaoxiong Wang, Trevor Darrell, Roberto Calandra

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification.

Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu

Proceedings of the International Conference on Machine Learning, 2022

Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning.

Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu

Proceedings of the International Conference on Machine Learning, 2022

Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers.

Ruihan Yang, Minghao Zhang, Nicklas Hansen, Huazhe Xu, Xiaolong Wang

Proceedings of the Tenth International Conference on Learning Representations, 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 H. Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu

Proceedings of the Conference on Robot Learning, 2022

2021

Learning Predictive Models for Efficient Policy Learning.

Huazhe Xu

PhD thesis, 2021

Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation.

Minghao Zhang, Pingcheng Jian, Yi Wu, Huazhe Xu, Xiaolong Wang

CoRR, 2021

NovelD: A Simple yet Effective Exploration Criterion.

Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Person 3D Motion Prediction with Multi-Range Transformers.

Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation.

Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

PyTouch: A Machine Learning Library for Touch Processing.

Mike Lambeta, Huazhe Xu, Jingwei Xu, Po-Wei Chou, Shaoxiong Wang, Trevor Darrell, Roberto Calandra

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the 9th International Conference on Learning Representations, 2021

Solving Compositional Reinforcement Learning Problems via Task Reduction.

Yunfei Li, Yilin Wu, Huazhe Xu, Xiaolong Wang, Yi Wu

Proceedings of the 9th International Conference on Learning Representations, 2021

Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes.

Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, Xiaolong Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

BeBold: Exploration Beyond the Boundary of Explored Regions.

Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian

CoRR, 2020

Multi-Agent Collaboration via Reward Attribution Decomposition.

Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian

CoRR, 2020

Multi-Task Reinforcement Learning with Soft Modularization.

Ruihan Yang, Huazhe Xu, Yi Wu, Xiaolong Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Video Prediction via Example Guidance.

Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling.

Yuping Luo, Huazhe Xu, Tengyu Ma

Proceedings of the 8th International Conference on Learning Representations, 2020

Hierarchical Style-Based Networks for Motion Synthesis.

Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization.

Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell

CoRR, 2019

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees.

Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma

Proceedings of the 7th International Conference on Learning Representations, 2019

Disentangling Propagation and Generation for Video Prediction.

Hang Gao, Huazhe Xu, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Algorithmic Framework for Model-based Reinforcement Learning with Theoretical Guarantees.

Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma

CoRR, 2018

Reinforcement Learning from Imperfect Demonstrations.

Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell

Proceedings of the 6th International Conference on Learning Representations, 2018

Modular Architecture for StarCraft II with Deep Reinforcement Learning.

Dennis Lee, Haoran Tang, Jeffrey O. Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel

Proceedings of the Fourteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018

2017

End-to-End Learning of Driving Models from Large-Scale Video Datasets.

Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Natural Language Object Retrieval.

Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

A Low-Complexity Linear Precoding Scheme Based on SOR Method for Massive MIMO Systems.

Tian Xie, Qian Han, Huazhe Xu, Zihao Qi, Wenqian Shen

Proceedings of the IEEE 81st Vehicular Technology Conference, 2015