Huazhe Xu

H$^3$DP: Triply‑Hierarchical Diffusion Policy for Visuomotor Learning

Entropy Regularizing Activation: Boosting Continuous Control, Large Language Models, and Image Classification with Activation as Entropy Constraints

X-Distill: Cross-Architecture Vision Distillation Enables Data-Efficient Visuomotor Learning

Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion

DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo

Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets

Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets

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

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

DRIVE: Distributional Model-Based Reinforcement Learning via Variational Inference

ViTaS: Visual Tactile Soft Fusion Contrastive Learning for Reinforcement Learning

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control

On Evaluation of Generative Robotic Simulations