I am a second year Ph.D. student in the Department of Computer Science and Engineering at the University of Notre Dame, advised by Prof. Yiyu Shi in the SCL Lab. I received my B.Eng. degree in the same department at Southern University of Science and Technology (SUSTech), conducting research related to medical image processing under the guidance of Prof. Jiang Liu at iMED.
My research mainly focus on on-device learning. I am also interested in AI for healthcare and Human-Computer Interaction. I am passionate about exploring the intersection of these areas to develop innovative solutions that can make an impact in technology and healthcare.
Publications
(* indicates equal contributions)
The Cost of Local and Global Fairness in Federated Learning
Yuying Duan, Gelei Xu, Yiyu Shi, and Michael Lemmon
AISTATS 2025
Enabling Memory-Efficient On-Device Learning via Dataset Condensation
Gelei Xu, Ningzhi Tang, Jun Xia, Ruiyang Qin, Wei Jin, and Yiyu Shi
DATE 2025
An Adaptive System for Wearable Devices to Detect Stress Using Physiological Signals
Gelei Xu, Ruiyang Qin, Zhi Zheng, and Yiyu Shi
PhysioCHI 2024
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization
Gelei Xu, Yawen Wu, Jingtong Hu, and Yiyu Shi
Arxiv 2022
Automatic Cortical Cataract Classification Framework Based on AS-OCT Images
Gelei Xu*, Xiaoqing Zhang*, Zunjie Xiao, Risa Higashita, Wan Chen, Jin Yuan, and Jiang Liu
CSA 2022
PDF |
Channel-Wise and Spatial Feature Recalibration Network for Nuclear Cataract Classification
Xiaoqing Zhang, Gelei Xu, Junyong Shen, Zunjie Xiao, Qiuyang Yan, Jin Yuan, Risa Higashita, Jiang Liu
ICME 2022
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CCA-Net: Clinical-awareness Attention Network for Nuclear Cataract Classification in AS-OCT
Xiaoqing Zhang, Zunjie Xiao, Lingxi Hu, Gelei Xu, Risa Higashita, Wan Chen, Jin Yuan, Jiang Liu
KBS 2022
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