I am an incoming Assistant Professor at Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University in 2022.
I will be 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 support Slow Science.
I am interested in Reinforcement Learning, Robotics and Computer Vision. 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. I am also interested in solving complex real applications with deep learning and reinforcement learning.
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.