← Authors

Huazhe Xu

69 papers · 2016–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (60) 🧬 Topic Evolution πŸ‘‘ Triple Crown 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (11) ⚑ Prolific Year (8) πŸ’Ž Century Club (69) πŸ”₯ Unstoppable (7) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (178)

Conferences

ICLR (19) NIPS (13) ICML (12) CORL (7) RSS (6) CVPR (4) ECCV (3) ICCV (2) IJCAI (1) NAACL (1) WACV (1)

Top co-authors

Zhecheng Yuan (12) Xiaolong Wang (10) Kaizhe Hu (9) Furong Huang (8) Yanjie Ze (8) Ruijie Zheng (7) Zhengrong Xue (7) Yu Luo (6) Xiyao Wang (6) Yi Wu (6)

Keywords

imitation learning (5) visual reinforcement learning (5) robot learning (4) sparse reward (3) motion prediction (3) point cloud (3) dexterous manipulation (3) sample efficiency (3) reinforcement learning (2) diffusion policy (2) long-horizon planning (2) keypoint detection (2) value function (2) robot manipulation (2) data augmentation (2) transfer learning (2) video prediction (2) pose estimation (2) self-supervised learning (2) diffusion model (2)

Papers

Morpheus: A Neural-driven Animatronic Face with Hybrid Actuation and Diverse Emotion Control RSS 2025
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation RSS 2025
World Models with Hints of Large Language Models for Goal Achieving NAACL 2025
DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration CORL 2025
FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots CORL 2025
Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation CVPR 2025
A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control ICML 2025
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning ICML 2025
DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo ICLR 2025
Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion ICLR 2025
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets ICLR 2025
DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning RSS 2025
DOGlove: Dexterous Manipulation with a Low-Cost Open-Source Haptic Force Feedback Glove RSS 2025
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets ICLR 2025
4D Visual Pre-training for Robot Learning ICCV 2025
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization ICML 2024
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion NIPS 2024
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features NIPS 2024
Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning CORL 2024
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation CORL 2024
GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs CORL 2024
Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation ECCV 2024
Diffusion Reward: Learning Rewards via Conditional Video Diffusion ECCV 2024
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning ICLR 2024
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization ICLR 2024
GenSim: Generating Robotic Simulation Tasks via Large Language Models ICLR 2024
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization ICLR 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots ICLR 2024
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL ICLR 2024
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic ICML 2024
Rethinking Transformers in Solving POMDPs ICML 2024
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts ICML 2024
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL ICML 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss ICML 2024
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations RSS 2024
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation WACV 2024
Decision Transformer under Random Frame Dropping ICLR 2023
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function ICLR 2023
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning? NIPS 2023
MoVie: Visual Model-Based Policy Adaptation for View Generalization NIPS 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization NIPS 2023
CEIL: Generalized Contextual Imitation Learning NIPS 2023
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation NIPS 2023
$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NIPS 2023
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline ICML 2023
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools CORL 2023
Simple Emergent Action Representations from Multi-Task Policy Training ICLR 2023
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation ICLR 2023
Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning IJCAI 2022
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning NIPS 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning ICML 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance NIPS 2022
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation CORL 2022
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks RSS 2022
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers ICLR 2022
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification ICML 2022
Solving Compositional Reinforcement Learning Problems via Task Reduction ICLR 2021
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization ICLR 2021
Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes CVPR 2021
Multi-Person 3D Motion Prediction with Multi-Range Transformers NIPS 2021
NovelD: A Simple yet Effective Exploration Criterion NIPS 2021
Video Prediction via Example Guidance ICML 2020
Multi-Task Reinforcement Learning with Soft Modularization NIPS 2020
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling ICLR 2020
Hierarchical Style-based Networks for Motion Synthesis ECCV 2020
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees ICLR 2019
Disentangling Propagation and Generation for Video Prediction ICCV 2019
End-To-End Learning of Driving Models From Large-Scale Video Datasets CVPR 2017
Natural Language Object Retrieval CVPR 2016