Songlin Xu
Scholar

Songlin Xu

Google Scholar ID: iNKtF7cAAAAJ
University of California San Diego
Human AI IntegrationHCIUbiquitous ComputingInternet of ThingsSocial Computing
Citations & Impact
All-time
Citations
263
 
H-index
7
 
i10-index
7
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • 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.