Gelei Xu

I am a fourth year Ph.D. candidate in the Department of Computer Science and Engineering at the University of Notre Dame, advised by Yiyu Shi. I received my B.Eng. degree from the Department of Computer Science and Engineering at the Southern University of Science and Technology (SUSTech), conducting research related to medical image analysis under the guidance of Jiang Liu at iMED.

I am currently a visiting graduate student at Weill Cornell Medicine, hosted by Fei Wang, and previously interned at Boston Children's Hospital and Harvard Medical School with Maimuna Majumder. I also work closely with Wei Jin at Emory University and Zhi Zheng at Notre Dame.

I develop machine learning algorithms that ensures reliable performance for specific patient populations through targeted data allocation, adaptation, and evaluation. My current work extends these methods to continually learning clinical AI and healthcare agents.

I am currently on the academic job market. Please feel free to reach out if you know of any suitable opportunities!

Selected Publications

(* indicates equal contributions)
Assessing the Use of Automatic Speech Recognition and Large Language Models for Individuals with Language Impairments

Gelei Xu*, Haoxinran Yu*, Lixuan Wei, Yuxuan Liu, Dancheng Liu, Chenhui Xu, Jiajie Li Ahmed Abbasi, Jinjun Xiong, Xiufan Yu, Zhi Zheng, Yiyu Shi, and Ruiyang Qin

Nature Communications
Group-Conditioned Representation Modulation for Fair Skin Disease Diagnosis

Gelei Xu*, Haoran Fan* and Yiyu Shi

MICCAI 2026 (early accept, 9%)
A Comprehensive Survey of AI Agents in Healthcare

Gelei Xu*, Xueyang Li*, Yixiong Chen*, Yuying Duan*, Shuqing Wu*, Alexander Yu*, Ching-Hao Chiu*, Juntong Ni*, Ningzhi Tang, Toby Jia-Jun Li, Alan Yuille, Wei Jin, and Yiyu Shi

Journal of Biomedical Informatics Paper List
Rethinking Fairness in Medical Imaging: Maximizing Group-Specific Performance with Application to Skin Disease Diagnosis

Gelei Xu, Yuying Duan, Jun Xia, Ching-Hao Chiu, Michael Lemmon, Wei Jin, and Yiyu Shi

Medical Image Analysis
Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts

Gelei Xu, Yuying Duan, Zheyuan Liu, Xueyang Li, Meng Jiang, Michael Lemmon, Wei jin, and Yiyu Shi

MICCAI 2025 (early accept, 9%)
Enabling Memory-Efficient On-Device Learning via Dataset Condensation

Gelei Xu, Ningzhi Tang, Jun Xia, Ruiyang Qin, Wei Jin, and Yiyu Shi

DATE 2025