Wei, Mingjie

Wei Mingjie is currently a Ph.D. student jointly trained by the Harbin Institute of Technology (HIT) and the Zhongguancun Academy (BJZGCA), enrolled in the Fall 2025 cohort under the supervision of Prof. Yu Chao and Prof. Zhang Weinan. His primary research interests lie in Embodied Intelligence, Large Vision-Language Models, Reinforcement Learning, and Vision-Language-Action (VLA) models.

Starting in September 2025, he commenced his doctoral studies at BJZGCA. From Fall 2023 to Summer 2025, he led a collaborative team involving the SCIR Lab, State Key Laboratory of Robotics and Systems at HIT, and Shenzhen Leju Robot Co., developing an intelligent service robot for exhibition and hall environments — systems that are now deployed in several exhibition venues.

He previously completed a research internship at Li Auto and served as a Research Assistant at the Chinese University of Hong Kong, Shenzhen. Academically, he has authored two papers accepted to ACM MM 2025, along with a survey paper on Embodied Intelligence published in the robotics journal SmartBot. Recently, he has also joined the RLinf project — an open research effort by Infini Inc., BJZGCA, and Tsinghua University — contributing to the development of advanced reinforcement learning algorithms.