Scholar
Shao Zhang
Google Scholar ID: UG36L2YAAAAJ
PhD Candidate, Shanghai Jiao Tong University
Citations & Impact
Citations
473
H-index
11
i10-index
11
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- The paper “Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults” won the IMWUT Distinguished Paper Award; The paper 'Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration' has been accepted to ACL 2025; “PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning” gets accepted by AAMAS 2025; Two papers are accepted by NeurIPS 2024 (1 Main Track and 1 D&B Track); “Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination” gets accepted by Journal of Artificial Intelligence Research (JAIR); The paper 'Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis' is accepted by CHI’24; A white paper about large-scale pre-trained and multi-agent reinforcement learning published in CCCF; The paper 'Cooperative Open-ended Learning Framework for Zero-Shot Coordination' is accepted in ICML 2023.
Research Experience
- From 2023 to 2024, Shao was a visiting student at Northeastern University, Boston Campus.
Education
- She earned her B.Eng. in Industrial Design from the 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. She obtained her MSc in Multimedia and Entertainment Technology (Game Development stream) from the School of Design, The Hong Kong Polytechnic University in 2020. Currently, she is a Ph.D. candidate at Shanghai Jiao Tong University, supervised by Prof. Ying WEN and Prof. Xinbing WANG.
Background
- Her 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), and Language Agent in Real-time Simultaneous human-AI collaboration via Cognitive Theory like Theory of Mind (ToM) and Dual Process Theory (DPT).
