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 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, AAAI, IJCAI, CVPR, ICCV, ECCV, WACV, ACCV, IROS
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]