Yao (Mark) Mu

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

Obtained M.Phil Degree at
Tsinghua University

Home

Research

Resume

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. Student 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, LLM-driven Roboitcs Control 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.
Joining My Group: I am looking for student researchers and visiting students to join my group. Please feel free to send me an email with your resume if you are interested in doing research with me.
News: I am the primary responsible person for MM-RobotLab: A Community for Multi-modal Embodied AI and Robotics Enthusiasts, a large community of engineers and researchers who share interests in embodied AI and robotics. Please find some details about MM-RobotLab in this link.
News: Our paper "EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought" has been accepted by NeurIPS 2023 (Selected as Spotlight)!
News: Our paper "AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners" has been accepted by ICML 2023 (Oral Presentation)!
News: Our paper "MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL." has been accepted by ICML 2023!
News: Our paper "EC^2: Emergent Communication for Embodied Control." has been accepted by CVPR 2023!
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(Spotlight)!
2022-03: Our paper "CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer" has been accepted by ICML 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)

Talks


AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Talk at RLChina:

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners


Knowledge Transfer and Generalization of Deep Reinforcement Learning
Talk at New Youth:

Knowledge Transfer and Generalization of Deep Reinforcement Learning

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