Zhuoyang Zou

Zhuoyang Zou

PhD Student in Computer Science

Pennsylvania State University

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.

Education

Pennsylvania State University

Sep. 2024 – Present

PhD in Computer Science

University Park, PA

PI: Prof. Wenpeng Yin

Northwestern University

Sep. 2022 – Dec. 2023

Master of Science in Artificial Intelligence

Evanston, IL

2023 Cohorts

The Chinese University of Hong Kong

Sep. 2017 – May 2022

Bachelor of Science in Computer Science

Publications

Optimizing Deep Learning Models: CNN-RNN Augmentation with Grad-CAM Analysis for Predicting Pneumonitis from Pre-Treatment CT Images

Z. Zou, P.T. Teo, A. Yalamanchili, M. Abazeed

International Journal of Radiation Oncology, Biology, Physics, 2024

[Link]

AAAR-1.0: Assessing AI's Potential to Assist Research

Renze Lou, Hanzi Xu, Zhuoyang Zou, et al.

ICML 2025 Conference Submission. Workshop Best Paper Award, 2025

[Link]

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?

Yusen Zhang, Wenliang Zheng, Zhuoyang Zou, et al.

ICCV 2025 Conference Submission, 2025

[Link]

Training Medical LLMs: A Guideline for Medical Scientists

Zhuoyang Zou, Wenpeng Yin, et al.

Under Review, 2025

[Link]