Shao ZHANG

Ph.D. Candidate, Shanghai Jiao Tong University, Shanghai, China.

Shao ZHANG is currently a Ph.D. candidate at Shanghai Jiao Tong University, supervised by Prof. Ying WEN and Prof. Xinbing WANG.

From 2023 to 2024, Shao was a visiting student at Northeastern University HAI Lab under the supervision of Prof. Dakuo WANG. Shao obtained her MSc in Multimedia and Entertainment Technology (Game Development stream) from School of Design, The Hong Kong Polytechnic University in 2020. Before that, Shao earned her B.Eng. in Industrial Design from School of Design, Hunan University in 2019. During her undergraduate study, she was a member of XiaoLab and was supervised by Prof. Sheng XIAO and Prof. Beibei ZHAN.

Shao’s research interests include Human-AI Collaboration and Multi-agent System. Specifically, she is now focusing on:

  • AI-in-the-Loop deployment for task-oriented agent in real world scenario,
  • Zero-shot Coordination for human-AI teams via multi-agent learning,
  • Bidirectional Alignment for human-AI teams via Large Language Models (LLMs).

news

May 22, 2024 Our paper “Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination” gets accepted by Journal of Artificial Intelligence Research (JAIR).
Jan 19, 2024 Our Paper Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis is accepted by CHI’24! See you in Hawaii!🏖️
Oct 20, 2023 I will give an invited talk about our ICML2023 paper “Cooperative Open-ended Learning Framework for Zero-shot Coordination” at DAI2023. See you in Singapore on November 2023!
Aug 20, 2023 I’m excited to begin my visit to Northeastern University at Boston Campus! As of September 2023, I’ll be a visiting PhD student at the NEU-HAI Lab, under the supervision of Prof. Dakuo Wang.
Aug 15, 2023 A white paper about large-scale pre-trained and multi-agent reinforcement learning published in CCCF: Multi-agent Reinforcement Learning in (Open-ended) Multimodal Environments (in Chinese).
Apr 25, 2023 Our Paper Cooperative Open-ended Learning Framework for Zero-Shot Coordination is accepted in ICML 2023! Can’t wait to see you in Hawaii on July! 🏖️
Apr 17, 2023 I will serve as a student volunteer at CHI2023. See you in Hamburg on 23rd April!😊
Jan 7, 2023 Our paper “GeoDeepShovel: A Platform for Building Scientific Database from Geoscience Literature with AI Assistance” gets accepted in Geoscience Data Journal. Our system is avaliable at https://deepshovel.acemap.cn.

selected publications

  1. AI-in-the-Loop
    Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
    Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M Padilla, Jeffrey Caterino, Ping Zhang, and Dakuo Wang
    In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI’24), 2024
  2. ZSC
    Quantifying Zero-shot Coordination Capability with Behavior Preferring Partners
    Xihuai WangShao Zhang, Wenhao Zhang, Wentao Dong, Jingxiao Chen, Ying Wen, and Weinan Zhang
    Preprint Under Review, 2023
  3. ZSC
    Cooperative Open-ended Learning Framework for Zero-Shot Coordination
    Yang Li*Shao Zhang*, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, and Wei Pan
    Proceedings of the 40th International Conference on Machine Learning(ICML2023), 2023
  4. AI-in-the-Loop
    GeoDeepShovel: A platform for building scientific database from geoscience literature with AI assistance
    Shao ZhangHui XuYuting JiaYing WenDakuo Wang, Luoyi Fu, Xinbing Wang, and Chenghu Zhou
    Geoscience Data Journal, 2023