Papers published: CogReact: A Reinforced Framework to Model Human Cognitive Reaction Modulated by Dynamic Intervention (ICML 2025), Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation (to be released soon). Open-sourced projects: CogTeach (a large-scale online education platform) and MiniHuman (a Python library for simulating omniverse human behaviors).
Research Experience
Research theme centers on Bidirectional Human-AI Integration, involving a two-way investigation: (a) leveraging AI-generated feedback and interventions to augment human intelligence; (b) utilizing human feedback to enhance AI models, enabling them to better understand, explain, and modulate human behaviors. Significant research contributions in the domain of AI-augmented education, such as EduAgent, Classroom Simulacra (CHI 2025), and CogReact (ICML 2025).
Education
PhD student in the Department of Electrical and Computer Engineering at the University of California, San Diego, advised by Prof. Xinyu Zhang; Bachelor's degree from the University of Science and Technology of China.
Background
Research interests include Human-Computer Interaction (HCI), Artificial Intelligence (AI), and the Internet of Things (IoT). Specifically, focuses on designing Human-AI interactive systems that leverage IoT-based sensing and AI-driven feedback and interventions. The goal is to augment human intelligence, regulate human behaviors, and advance scientific discovery related to human behavior.
Miscellany
Currently in the job market, feel free to reach out via email for suitable academic or industry positions.