I am a Ph.D. candidate in Electrical Engineering at Stanford University, co-advised by Dorsa Sadigh and Jeannette Bohg. Currently, I am working on AI for robotics in Intelligent and Interactive Autonomous Systems Group (ILIAD) and Interactive Perception and Robot Learning Lab (IPRL). I am broadly interested in the intersection of artificial intelligence (AI), human robot interaction, and multi-agent systems.
Before coming to Stanford, I received my B.S. degree from Tsinghua University in 2018. During my undergraduate years, I was fortunate to work in TSAIL Group under the supervision of Prof. Jun Zhu. I was also lucky to have the opportunities to work with Raquel Urtasun during an internship at University of Toronto.
Learning from My Partner's Actions: Roles in Decentralized Robot Teams.
Dylan P. Losey*, Mengxi Li*, Jeannette Bohg, Dorsa Sadigh.
Proceedings of the 3rd Conference on Robot Learning (CoRL), October 2019. (Oral)
arXiv / website / blogpost / talk
Influencing Leading and Following in Human-Robot Teams.
Minae Kwon*, Mengxi Li*, Alexandre Bucquet, Dorsa Sadigh.
Proceedings of Robotics: Science and Systems (RSS), June 2019.
blogpost / talk
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning.
Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. (Spotlight)
Best paper award at NeurIPS 2017 Workshop on Learning with Limited Labeled Data.
poster / code
Conference Reviewer: ICRA 2019