Zhuoyang Zou
PhD Student
Computer Science
Pennsylvania State University
Updates
- May 2026Paper accepted at AI4HE @ CSEDU 2026: AI-Enabled Automated Scaffolding for Undergraduate Students' Learning to Debug and Reason.
- May 2026New preprint: Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning.
- Apr 2026New preprint: M2-Verify — A Large-Scale Multidomain Benchmark for Checking Multimodal Claim Consistency.
- Jan 2026New preprint: DIAGPaper — Diagnosing Valid and Specific Weaknesses in Scientific Papers via Multi-Agent Reasoning.
- Jun 2025HRScene accepted at ICCV 2025.
- May 2025AAAR-1.0 received the Workshop Best Paper Award at ICML 2025.
- Sep 2024Started PhD in Computer Science at Pennsylvania State University.
Education
Pennsylvania State University
Sep. 2024 – PresentPhD in Computer Science
University Park, PA
Northwestern University
Sep. 2022 – Dec. 2023Master of Science in Artificial Intelligence
Evanston, IL
The Chinese University of Hong Kong
Sep. 2017 – May 2022Bachelor of Science in Computer Science
Hong Kong
About Me
I am a PhD student in Computer Science at Pennsylvania State University, working under the supervision of Prof. Wenpeng Yin. My research focuses on advancing Large Language Models (LLMs), with an emphasis on multi-agent collaboration and deep reasoning capabilities for scientific and healthcare applications.
Previously, I completed my Master's degree in Artificial Intelligence at Northwestern University and my Bachelor's in Computer Science at The Chinese University of Hong Kong, where I worked on computer vision and surgical AI applications.
Research Interests
My research focuses on advancing LLMs, particularly in multi-agent collaboration and deep reasoning capabilities, with an emphasis on real-world scientific and healthcare applications.
Multi-agent LLM Systems
Developing collaborative AI systems where multiple language models work together to solve complex problems, critique research, and generate improved solutions.
Deep Reasoning within LLMs
Enhancing the explainability and trustworthiness of large language models to make them more reliable for critical applications in science and healthcare.
LLM Applications in Healthcare
Applying advanced language model methodologies to clinical decision support, disease prediction, and personalized medicine challenges.
Publications
Brian Belland, Wenpeng Yin, Zhuoyang Zou, Jack Mussoline, Chanmin Kim
JJ Ahn, R Kamoi, B Atil, R Lou, WW Kang, H Park, SSS Das, Zhuoyang Zou, X Lu, et al.
A Ansari, DC Zhang, Zhuoyang Zou, W Yin, D Lee
Zhuoyang Zou, A Ansari, DC Zhang, D Lee, Wenpeng Yin
Yusen Zhang, Wenliang Zheng, A Madasu, P Shi, R Kamoi, H Zhou, Zhuoyang Zou, S Zhao, et al.
Renze Lou, Hanzi Xu, S Wang, J Du, R Kamoi, X Lu, J Xie, Y Sun, Y Zhang, JJ Ahn, Zhuoyang Zou, et al.
Zhuoyang Zou, P.T. Teo, A. Yalamanchili, M. Abazeed