Amanda Shao

Shanghai Artificial Intelligence Laboratory

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Jing Shao is a Research Scientist with Shanghai Artificial Intelligence Laboratory, China. She is Co-Director of the Center of Safe & Trustworthy AI. She is also an Adjunct Ph.D. supervisor at Shanghai Jiao Tong University and Fudan University. She received her 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. Prior to joining Shanghai AI Lab, she served as a Research Director at SenseTime from 2016 to 2023.

Her research interests focus on multi-modal foundation models and agents, with special interests in understanding various properties of current models beyond their accuracy, such as safety, explainability, robustness, and generalization, towards the reliableness of AI systems. She has 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. She is recognized as Stanford Top 2% Worldwide Scientist in 2024, and received ACL 2024 Outstanding Paper Award.


To Prospective Students: We are actively hiring Full-time Researchers/Interns working together on safety/robustness/explainablity of generative models and agents. I am also looking for talented students targeted to Master or Ph.D. degree. Please drop me an email with your resume if you are interested.


News

Jul 31, 2025 ACL 2025 Outstanding Paper Award
Jul 27, 2025 The first frontier AI risk management framework and comprehensive implementation report applicable to general-purpose AI models and agents: Framework, Practice
Jun 30, 2025 We are looking for talented 2026 Ph.D. Students
Aug 14, 2024 ACL 2024 Outstanding Paper Award
Jul 27, 2024 ICML TiFA Workshop

Selected Publications

  1. riosworld.png
    RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents
    Jingyi Yang, Shuai Shao, Dongrui Liu, and 1 more author
    In , May 2025
  2. isbench.png
    IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks
    Xiaoya Lu, Zeren Chen, Xuhao Hu, and 3 more authors
    In , May 2025
  3. psysafe.png
    PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation
    [Authors confirmed]
    In , May 2024
  4. reef.png
    REEF: Representation Encoding Fingerprints for Large Language Models
    Jie Zhang
    In , May 2024
  5. ttww.png
    The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
    [Authors paper]
    arXiv preprint arXiv:2410.16672, May 2024
    Submitted 22 Oct 2024