About me

I am a third-year Ph.D. candidate in Computer Science and Engineering at the University of Notre Dame, advised by Prof. Yiyu Shi.

I build and evaluate systems that help AI agents remember, reason, and make reliable decisions, with a focus on multimodal memory, retrieval-augmented generation, and decision-making under uncertainty.

I am open to research collaborations and internship opportunities—please feel free to get in touch.

Selected work

MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory

Minghao Guo^*, Qingyue Jiao^*, Zeru Shi^*, et al.

ICLR 2027 · Under review

arXiv Project

Hierarchical Memory for Radiology Report Generation with Rich Context

Qingyue Jiao, Jiahao Zheng, Jun Zhuang, Yiyu Shi.

MICCAI 2026

Paper Code

Seeing, Maintaining, and Learning: The Evolution of Multi-modal Agent Memory

Minghao Guo^*, Qingyue Jiao^*, Xiujin Liu, et al.

TMLR · Under review, 2026

OpenReview Resources

Research & projects → · All publications →

News

Sep 2026Our paper on hierarchical memory for radiology report generation was published in the MICCAI 2026 proceedings.
May 2026We released MemEye, our evaluation framework for multimodal agent memory, on arXiv.