Yao (Mark) Mu

Ph.D. Candidate of Computer Science
The University of Hong Kong

Obtained M.Phil Degree at
Tsinghua University

Home

Research

CV

Code

Daily life

Social

Contact:
Department of Computer Science
The University of Hong Kong
Rm 301 Chow Yei Ching Building
Pokfulam, Hong Kong

Yao (Mark) Mu

Bio: I am currently a Ph.D. Candidate of Computer Science at the University of Hong Kong, fortunately supervised by Prof. Ping Luo and co-advised by Prof. Wenping Wang and Prof. Xiaoou Tang. Previously I obtained the M.Phil Degree from Tsinghua University in June 2021,under the supervision of Prof. Bo Cheng and Prof. Shengbo Li at the Intelligent Driving Laboratory and Prof. Jianyu Chen at the Institute for Interdisciplinary Information Sciences in Tsinghua University.
Contact me with email: muyao@connect.hku.hk

Research Interests: Embodied AI, Reinforcement Learning, Representation Learning and Autonomous Driving. My goal is to build a general embodied AI system that can learn optimal policy efficiently and can be generalized well in unseen tasks and environments.

News: I am looking for some internship collaborators. Self-motivated masters and undergraduates are welcome to work together. Please find some details in this link.
News: Our paper "CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving" has been accepted by ICLR 2023!
News: Our paper "EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model" has been accepted by ICLR 2023!
2022-09:Our paper "DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning" has been accepted by NeurIPS 2022!
2022-09: Our paper "MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning" has been accepted by NeurIPS 2022!
2022-03: Our paper "CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer" has been accepted by ICML 2022!
2022-03: Our paper "Flow-based Recurrent Belief State Learning for POMDPs" has been accepted by ICML 2022!
2022-02: Our paper "Scale-Equivalent Distillation for Semi-Supervised Object Detection" has been accepted by CVPR 2022!

Awards:
Hong Kong PhD Fellowship Scheme (HKPFS)
HKU Presidential PhD Scholar Programme (HKU-PS)
Student Best Paper Award at the 20th ICCAS
Finalists for the Best Student Paper Award of IV2021 (3/450)
Outstanding Graduate of Tsinghua University (only 1 person/faculty)
Outstanding Thesis Award, Tsinghua University
National Scholarship (3 times)

Served as the reviewer of :
Conference on Neural Information Processing Systems(NeurIPS)´╝îInternational Conference on Machine Learning (ICML), IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), AAAI Conference on Artificial Intelligence (AAAI), International Conference on Artificial Intelligence and Statistics (AISTATS), IEEE Intelligent Vehicles Symposium (IEEE IV), IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC), and Journal of Automobile Engineering.

Yao (Mark) Mu

View My Stats