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Resume (English only)
Academic Achievements
Selected Publications: 'Prompting VLMs with and for Classical Planners', 'OpenEQA: Embodied Question Answering in the Era of Foundation Models' and more, presented at conferences such as CVPR and IROS.
Research Experience
Currently a robotics researcher at Boston Dynamics AI Institute. In the summer and fall of 2023, a Research Scientist Intern in the Embodied AI team at Meta AI (FAIR), working with Chris Paxton. In the spring of 2023, visited the Learning Agents Research Group (LARG) at the University of Texas at Austin, supervised by Peter Stone. In the summer of 2022, a Student Researcher with the Robotics team at Google DeepMind.
Education
PhD in Computer Science from State University of New York at Binghamton, advised by Shiqi Zhang; Bachelor's degree from Renmin University of China, graduated in 2019.
Background
Research Interests: Intersection of robotics and AI, focusing on Symbol Grounding and Task and Motion Planning (TAMP). Recently interested in robotics foundation models.