Scholar
Ming Zhou
Google Scholar ID: xuW4NIYAAAAJ
Researcher; Shanghai AI Laboratory
Citations & Impact
Citations
2,016
H-index
12
i10-index
12
Publications
17
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- A paper titled “MALib: A parallel framework for population-based multi-agent reinforcement learning” was accepted by the Journal of Machine Learning Research 2023; A preprint titled “On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective” was published on Dec. 24th, 2022; Open-sourced a large-scale multi-modal pre-trained model on GitHub on Dec. 7th, 2022; Published a language-centered framework OpenPAL on Feb. 6th, 2024; A paper entitled “Efficient Skill Discovery via Regret-Aware Optimization” has been accepted by ICML 2025 on May 1st, 2025.
Research Experience
- Research Engineer at Didi Chuxing (Jul. 2018 - Sept. 2018); Research Engineer at Noah’s Ark Lab (Jul. 2019 - Sept. 2020); Research Leader at MARL group, Apex Lab (Sept. 2018 - Feb. 2022); Researcher at Shanghai AI Lab (Jul. 2023 - present).
Education
- Bachelor's Degree from Sichuan University (Sep. 2014 - Jun. 2018); Ph.D. from Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering (Sep. 2018 - Jun. 2023), under the guidance of Prof. Weinan Zhang and Prof. Ying Wen.
Background
- Research interests include open-ended learning, embodied-AI, and machine learning systems.
Miscellany
- Personal website powered by Jekyll & AcademicPages.
