Huazhe Xu

Huazhe Xu is a Tenure-Track Assistant Professor at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, where he leads the Tsinghua Embodied AI Lab (TEA Lab). His research focuses on Embodied AI with applications in Robotics, Reinforcement Learning, and Computer Vision/Tactile Sensing.

• Education: Ph.D. in Berkeley AI Research (BAIR) under Trevor Darrell, postdoctoral work at Stanford Vision and Learning Lab with Jiajun Wu, and B.S. in Electrical Engineering with minor in Management at Tsinghua University.
• Research Trends: His work emphasizes world dynamics modeling, human priors for policy learning, sample-efficient algorithms, generalization to unseen scenarios, and complex real-robot applications using deep learning and reinforcement learning.
• Scientific Awards:
  • Best Student Paper Finalist at RSS'25
  • Best Paper at ICRA'25 Beyond Pick and Place Workshop
  • Best Long Paper at CVPR'25 Syn4CV Workshop
  • Yunfan 'Brilliant Star' Award, World Artificial Intelligence Conference 2024
  • Best System Paper at CoRL'23
  • Outstanding Paper in LangRob Workshop at CoRL'23
• Lab Leadership: TEA Lab develops robots and embodied intelligence systems, with active hiring for postdocs, PhD students, and interns in Beijing/Shanghai.