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 human-AI collaboration systems in various real-world scenarios,
- Zero-shot Coordination (ZSC) in human-AI collaboration via multi-agent reinforcement learning (MARL),
- Mutual Theory of Mind (MToM) in human-AI collaboration via Large Language Models (LLMs).
news
Sep 26, 2024 | Two papers are accepted by NeurIPS 2024 (1 Main Track and 1 D&B Track)! See you in Vancouver! |
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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. |