Jie Chen, Associate Professor at Peking University, specializes in Computer Vision and AI4Science, with a focus on representation learning and its applications in large-scale models. He has published over 300 papers in prestigious journals and conferences such as Nature Machine Intelligence, TPAMI, IJCV, CVPR, ICCV, and NeurIPS. He has been recognized in the "World’s Top 2% Scientists" list for lifetime scientific impact. His work includes a single paper with over 5,000 citations and four papers each cited more than 1,000 times. One of his papers was ranked second globally in annual impact at CVPR 2024.

Professor Chen has served as a guest editor for top-tier journals TPAMI and IJCV, and as a workshop chair for leading conferences including ICCV, CVPR, ECCV, and ACM MM. He has led or contributed to more than 10 major national research projects, such as the National Infrastructure Initiative, the New Generation Artificial Intelligence Major Project, the "New Generation AI" Major Project (rated excellent upon conclusion), and grants from the National Natural Science Foundation of China.

His awards include the State Scientific and Technological Progress Award (First Class, 2025; Second Class, 2005 and 2015), nomination for the ACM Gordon Bell Special Prize for COVID-19 Research (2022, the highest academic award in high-performance computing applications), the Guangdong Provincial Scientific and Technological Progress Special Prize (2023), the "Zuchongzhi Award" for Annual Major Achievements in AI Innovation (2024), and national and provincial prizes in the "Data Elements × Technological Innovation" competition (2024). He is also an expert in the National Association for Science and Technology’s Science Service Group and a Pengcheng Peacock Distinguished Professor in Shenzhen.

For more information, refer to the link: https://aimia-pku.github.io/