Xinxu Wei

According to our database, Xinxu Wei authored at least 18 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Diffusion-Guided Pretraining for Brain Graph Foundation Models.

Xinxu Wei, Rong Zhou, Lifang He, Yu Zhang

CoRR, February, 2026

A functional system-informed graph neural network framework to quantify interpretable brain dysfunction in ASD.

Yong Jiao, Xinxu Wei, Lifang He, Yu Zhang

Neural Networks, 2026

2025

A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder.

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

CoRR, June, 2025

Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion.

Xinxu Wei, Kanhao Zhao, Yong Jiao, Nancy B. Carlisle, Hua Xie, Gregory A. Fonzo, Yu Zhang

Neural Networks, 2025

Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

DA-DRN: A degradation-aware deep Retinex network for low-light image enhancement.

Xinxu Wei, Xi Lin, Yongjie Li

Digit. Signal Process., January, 2024

Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG.

Xinxu Wei, Kanhao Zhao, Yong Jiao, Nancy B. Carlisle, Hua Xie, Yu Zhang

CoRR, 2024

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

Xi Lin, Shixuan Zhao, Xinxu Wei, Amir Shmuel, Yongjie Li

CoRR, 2024

Multi-modal Cross-domain Self-supervised Pre-training for fMRI and EEG Fusion.

Xinxu Wei, Kanhao Zhao, Yong Jiao, Nancy B. Carlisle, Hua Xie, Gregory A. Fonzo, Yu Zhang

CoRR, 2024

Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning.

Xinxu Wei, Xi Lin, Haiyun Liu, Shixuan Zhao, Yongjie Li

CoRR, 2024

Vascular Skeleton Deformation Evaluation Based on the Metric of Sinkhorn Distance.

Xi Lin, Xinxu Wei, Shixuan Zhao, Yongjie Li

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Orientation and Context Entangled Network for Retinal Vessel Segmentation.

Xinxu Wei, Kaifu Yang, Danilo Bzdok, Yongjie Li

Expert Syst. Appl., May, 2023

2022

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

Xinxu Wei, Haohan Bai, Xian-Shi Zhang, Yongjie Li

CoRR, 2022

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

Xinxu Wei, Xian-Shi Zhang, Yongjie Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

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

Xinxu Wei, Xiangke Niu, Xianshi Zhang, Yongjie Li

Proceedings of the IEEE International Conference on Big Data, 2022

2021

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

Xinxu Wei, Xian-Shi Zhang, Shisen Wang, Yanlin Huang, Yongjie Li

CoRR, 2021

DA-DRN: Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement.

Xinxu Wei, Xian-Shi Zhang, Shisen Wang, Cheng Cheng, Yanlin Huang, Kaifu Yang, Yongjie Li

CoRR, 2021

BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration.

Xinxu Wei, Xian-Shi Zhang, Shisen Wang, Cheng Cheng, Yanlin Huang, Kaifu Yang, Yongjie Li

CoRR, 2021