Yao (Mark) Mu

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

Obtained M.Phil Degree at
Tsinghua University

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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. Previously I obtained the M.Phil Degree under the supervision of Prof. Bo Cheng and Prof. Shengbo Li at the Intelligent Driving Laboratory from Tsinghua University in June 2021.
Contact me with email: muyao@connect.hku.hk

Research Interests: Embodied AI, Reinforcement Learning, Representation Learning and Autonomous Driving.

News: Our paper "Model-Based Reinforcement Learning via Imagination with Derived Memory" has been accepted by NeurIPS 2021!
News: Our paper "CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer" has been accepted by ICML 2022!
News: Our paper "Flow-based Recurrent Belief State Learning for POMDPs" has been accepted by ICML 2022!
News: Our paper "Scale-Equivalent Distillation for Semi-Supervised Object Detection" has been accepted by CVPR 2022!
News: Our paper "Don't Touch What Matters: Task-Aware Lipschitz Data Augmentationfor Visual Reinforcement Learning" has been accepted by IJCAI 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), AAAI Conference on Artificial Intelligence (AAAI), IEEE Intelligent Vehicles Symposium (IEEE IV), IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC), and Journal of Automobile Engineering.

Yao (Mark) Mu