Xinxu Wei

Orcid: 0000-0002-7031-3278

According to our database1, Xinxu Wei authored at least 13 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion.
Neural Networks, 2025

2024
DA-DRN: A degradation-aware deep Retinex network for low-light image enhancement.
Digit. Signal Process., January, 2024

Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG.
CoRR, 2024

VPBSD:Vessel-Pattern-Based Semi-Supervised Distillation for Efficient 3D Microscopic Cerebrovascular Segmentation.
CoRR, 2024

Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning.
CoRR, 2024

Vascular Skeleton Deformation Evaluation Based on the Metric of Sinkhorn Distance.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Orientation and Context Entangled Network for Retinal Vessel Segmentation.
Expert Syst. Appl., May, 2023

2022
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays.
CoRR, 2022

TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement.
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.
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.
CoRR, 2021

DA-DRN: Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement.
CoRR, 2021

BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration.
CoRR, 2021


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