Scholar
Jing Shao
Google Scholar ID: VU5ObUwAAAAJ
Research Scientist, Shanghai AI Laboratory/Shanghai Jiao Tong University
Citations & Impact
Citations
10,744
H-index
44
i10-index
81
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Published 50+ peer-reviewed articles in top-tier conferences and journals such as TPAMI, IJCV, ICML, ICLR, NeurIPS, CVPR, and ACL, with 11500+ citations in Google Scholar; Recognized as Stanford Top 2% Worldwide Scientist in 2024; Received ACL 2024 Outstanding Paper Award.
Research Experience
- Served as a Research Director at SenseTime from 2016 to 2023; Currently a Research Scientist at Shanghai Artificial Intelligence Laboratory, an Adjunct Ph.D. supervisor at Shanghai Jiao Tong University and Fudan University, and Co-Director of the Center of Safe & Trustworthy AI.
Education
- Ph.D. (2016) from Multimedia Lab (MMLab), The Chinese University of Hong Kong (CUHK), supervised by Prof. Xiaogang Wang, and worked closely with Prof. Chen Change Loy and Prof. Xiaoou Tang.
Background
- Research Interests: Multi-modal foundation models and agents, with a special focus on various properties of current models beyond their accuracy, such as safety, explainability, robustness, and generalization, towards the reliability of AI systems. Professional Field: Artificial Intelligence.
Miscellany
- Personal Interests: Actively hiring Full-time Researchers/Interns working together on safety/robustness/explainability of generative models and agents; Looking for talented students targeted to Master or Ph.D. degree.
