About Me

Ming is a Researcher at Shanghai Artificial Intelligence Laboratory. He obtained his Bachelor’s Degree from Sichuan University in 2018. Following his passion for research and intellectual pursuits, Ming pursued his doctoral degree at Shanghai Jiao Tong University in the same year and earned his Ph.D. degree in 2023 from the School of Electronic Information and Electrical Engineering, under the esteemed guidance of Prof. Weinan Zhang and Prof. Ying Wen. Ming’s research interests encompass cutting-edge fields such as open-ended learning, embodied-AI, and machine learning systems.

MORE: Apex Lab / John Hopcroft Center for Computer Science

Career

Recent News

  • 6th Feb 2024 - We published a language-centered framework OpenPAL, integrating open-ended RL and LLM as an efficient solution for human-AI interaction
  • 2nd Mar 2023 - A paper entitled “MALib: A parallel framework for population-based multi-agent reinforcement learning” has been accepted by the Journal of Machine Learning Research 2023
  • 24th Dec 2022 - A preprint entitled “On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective” has been published
  • 7th Dec 2022 - We open-sourced a large-scale multi-modal pre-trained model on Github, check it and star!