Hello, my name is Xinxu Wei. I am currently a Ph.D. student (2023–2027) at Lehigh University, advised by Dr. Yu Zhang and Dr. Lifang He.

My research lies at the intersection of deep learning, machine learning, data mining, computer vision, neuroscience, and medical AI, with a particular focus on brain graph foundation models, self-supervised pre-training, and graph neural networks.

I hold dual master’s degrees from McGill University (2021–2023) and from the University of Electronic Science and Technology of China (2020–2023). Prior to that, I completed my undergraduate studies at the University of Electronic Science and Technology of China (2016–2020).

🔥 News

2025.05: 🎉🎉 One first-author paper has been accepted by ICML 2025 (CCF-A).
2025.03: 🎉🎉 One co-author paper has been accepted by Molecular Psychiatry (JCR Q1,IF=9.6).
2025.01: 🎉🎉 One first-author paper has been accepted by Neural Networks (JCR Q1, CCF-B, IF=6.0).
2024.11: 🎉🎉 Successfully passing my Ph.D. Qualifier Exam!

📝 Publications

Preprint

A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder [Paper] [Code]

Xinxu Wei, Kanhao Zhao, Yong Jiao, Lifang He, Yu Zhang

Under Review

ICML 2025

Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG [Openreview] [Paper] [Code]

Xinxu Wei, Kanhao Zhao, Yong Jiao, Hua Xie, Lifang He, Yu Zhang

International Conference on Machine Learning (ICML) 2025

Neural Networks

Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion [Paper]

Xinxu Wei, Kanhao Zhao, Yong Jiao, Hua Xie, Lifang He, Yu Zhang

Neural Networks (JCR Q1, CCF-B, IF=6.0)

Molecular Psychiatry

Deep graph learning of multimodal brain networks defines treatment-predictive signatures in major depression [Paper] [Code]

Yong Jiao, Kanhao Zhao, Xinxu Wei, Nancy B. Carlisle, Corey J. Keller, Desmond J. Oathes, Gregory A. Fonzo, Yu Zhang

Molecular Psychiatry (JCR Q1, IF=9.6)

Expert Systems with Applications

Orientation and Context Entangled Network for Retinal Vessel Segmentation [Paper] [Code]

Xinxu Wei, Kaifu Yang, Danilo Bzdok, Yongjie Li

Expert Systems with Applications (ICR Q1, IF=7.5)

Digital Signal Processing

DA-DRN: A degradation-aware deep Retinex network for low-light image enhancement [Paper]

Xinxu Wei, Xi Lin, Yongjie Li

Digital Signal Processing (JCR Q2, IF=2.9)

Preprint

VPBSD: Vessel-Pattern-Based Semi-Supervised Distillation for Efficient 3D Microscopic Cerebrovascular Segmentation [Paper]

Xi Lin, Shixuan Zhao, Xinxu Wei, Yongjie Li

Under Review by Pattern Recognition (PR)

ISBI 2024

Vascular Skeleton Deformation Evaluation Based on the Metric of Sinkhorn Distance [Paper] [Code]

Xi Lin, Xinxu Wei, Shixuan Zhao, Yongjie Li

IEEE International Symposium on Biomedical Imaging (ISBI) 2024

IEEE BigData 2022

Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays [Paper]

Xinxu Wei, Xiangke Niu, Xianshi Zhang, Yongjie Li

2022 IEEE International Conference on Big Data (Big Data)

ICANN 2022

TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement [Paper]

Xinxu Wei, Xiangke Niu, Xianshi Zhang, Yongjie Li

Artificial Neural Networks and Machine Learning – ICANN 2022

ICRAE 2021

SARN: A lightweight stacked attention residual network for low-light image enhancement [Paper] [Code]

Xinxu Wei, Xianshi Zhang, Yongjie Li

2021 International Conference on Robotics and Automation Engineering (ICRAE)

Preprint

Retinal vessel segmentation with deep graph and capsule reasoning [Paper]

Xinxu Wei, Xi Lin, Yongjie Li

Under Review by IEEE Transactions on Artificial Intelligence (TAI)

🎖 Honors and Awards

2023.08 Lehigh University Fellowship.
2022.05 First-Class Scholarship of UESTC.
2022.04 Suzhou Industrial Park Scholarship.

📖 Educations

2023.08 - 2027.01 (now), Ph.D., Lehigh University, Bethelehem PA, USA
2021.08 - 2023.05, Master of Science (Dual Master Degree), McGill University, Montreal, Canada
2020.08 - 2023.05, Master of Engineering, University of Electronic Science and Technology of China, Chengdu, China
2016.08 - 2020.05, Bachelor of Engineering, University of Electronic Science and Technology of China, Chengdu, China