About Me

Currently, I am a researcher at WeChat AI, focusing on large language model. Before that, I obtained my Master degree from the University of Hong Kong, and Bachelor degree from Southeast University. I take great pride in my contributions as a core developer and maintainer to a number of renowned open-source projects including MMSelfSup, MMPretrain, MMEngine, MMSegmentation, and OpenCompass. Currently, my interests focus on vision-language model, large language model, representation learning and basemodel.

We are looking for excellent interns. If you are interested in multimodal foundation models and large language models, please contact me.

News

• 2024.01.16 One paper on self-supervised learning is accepted by TMLR 🎉🎉🎉.
• 2023.08.29 Join in WeChat as a full-time researcher 🎉🎉🎉.
• 2023.08.18 Support multimodal model evaluation framework in OpenCompass 🎉🎉🎉.
• 2023.07.14 One paper on self-supervised learning is accepted by ICCV2023 🎉🎉🎉.
• 2023.07.13 We release MMBench, a meticulously curated dataset to comprehensively evaluate a vision-language model 🔥🔥🔥.

Experience

• 2023.08-current: Researcher at WeChat AI
• 2021.11-2023.08: Researcher at Shanghai AI Laboratory
• 2020.07-2021.12: Master in Electronic and Electrical Engineering, the University of Hong Kong
• 2020.02-2021.11: Intern at ByteDance
• 2016.08-2020.06: Bachelor in Electronic and Electrical Engineering, Southeast University
• 2019.11-2020.02: Intern at Horizon Robotics
• 2018.11-2019.02: Intern at Microsoft