I am a Tenure-Track Assistant Professor at Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University in 2022.
I was a postdoctoral researcher at Stanford Vision and Learning Lab (SVL) advised by Prof. Jiajun Wu. I obtained my Ph.D. in Berkeley AI Research (BAIR) advised by Prof. Trevor Darrell. I obtained my bachelor degree from Tsinghua University.
I am hiring self-motivated Postdocs, Ph.D. students, Undergrads, and Research Interns at Tsinghua (base: Beijing, Shanghai). See more details in Chinese here.
Please email me with your CV directly.
I support Slow Science.
I am interested in Reinforcement Learning, Robotics, and Computer Vision/Touch. Specifically, my research focuses on modeling the dynamics of the world, leveraging/finding human priors for policy learning, and further enabling algorithms to learn in a sample-efficient manner and generalize to unseen scenarios. I am also interested in solving complex real robot applications with deep learning and reinforcement learning.
Two papers are accepted by NeurIPS'22.
One paper is accepted by CORL'22.
Our paper "Scene Synthesis from Human Motion" is accepted by Siggraph Asia'22.
Our paper "Towards Learning to Play Piano with Dexterous Hands and Touch" is accepted by IROS'22.
Two papers are accepted by ICML'22.
Our paper "Don't Touch What Matters" is accepted by IJCAI'22.
I gave a talk at UC San Diego.
Our paper RoboCraft is accepted by RSS'22.
One paper is accepted by ICLR'22 (Spotlight).
Two papers are accepted by Neurips'21.
I became Dr. Xu on May 15, 2021.
I gave a talk at MSRA, March 10, 2021.
One paper is accepted by CVPR'21.
Two papers are accepted by ICRA'21.
Two papers are accepted by ICLR'21.
I gave a talk at Nvidia, Nov, 2020.
One papers is accepted by Neurips'20.
One papers is accepted by ECCV'20.
One papers is accepted by ICML'20 (oral).