Welcome to my academic homepage. I am a first-year graduate student in
Computer Science at University of California, Los Angeles (UCLA) Song-Chun Zhu.
I also closely collaborate with
Ying Nian Wu.
My research interests primarily focus on endowing robots and other agent-based systems with advanced learning and reasoning architectures, so as to understand and generalize in the complex physical and psychological world dynamics. Some of my research keywords can be found below:
Knowledge and AI: Concept learning, Commonsense reasoning, Task planning
Behaviour Modeling and Learning: (Inverse) Reinforcement learning, Multiagent systems
Representation Learning: Energy-based generative model, Multi-modal learning
[06/2020] Will work as a research intern at this summer.
Google Brain Robotics
[11/2019] Two papers on reinforcement learning from demonstrations and causal learning are accepted to AAAI 2020 (1 oral + 1 poster).
[09/2019] One paper on imitation learning from observations is accepted to as NeurIPS 2019 spotlight.
2019.6 - 2019.9, Research Intern, ByteDance AI Lab
Advisors: Dr. Lei Li and Dr. Tao Kong.
2018.7 - 2018.11, Research Intern, University of California, Los Angeles, Center for Vision, Cognition, Learning and Autonomy
Advisors: Prof. Song-Chun Zhu, Dr. Yixin Zhu and Mark Edmonds.
2017.7 - 2017.9, Research Intern, National University of Singapore, School of Computer Science, CVRP Lab
Advisor: Prof. Gim Hee Lee.
Conference PC Member/Reviewer: ICML, NeurIPS, ICLR, AAAI, IJCAI, CVPR, ICCV, ECCV, WACV, ACCV, IROS, CoRL
Journal Reviewer: AAS, IEEE/CAA JAS
UCLA Center for Vision, Cognition, Learning and Autonomy
3878 Slitcher Hall
603 Charles E Young Dr E
Los Angeles, CA 90024
xm [at] cs [dot] ucla [dot] edu
[ G o o g l e Scholar]