Xinxu Wei

19 papers A* 1B 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A functional system-informed graph neural network framework to quantify interpretable brain dysfunction in ASD.
Neural Networks
Yong Jiao, Xinxu Wei, Lifang He, Yu Zhang
2026 J jnl
Diffusion-Guided Pretraining for Brain Graph Foundation Models.
CoRR
Xinxu Wei, Rong Zhou, Lifang He, Yu Zhang
2025 J jnl
A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder.
CoRR
Xinxu Wei, Kanhao Zhao, Yong Jiao, Lifang He, Yu Zhang
2025 J jnl
Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion.
Neural Networks
Xinxu Wei, Kanhao Zhao, Yong Jiao, Nancy B. Carlisle, Hua Xie, Gregory A. Fonzo, Yu Zhang
2025 A* conf
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG.
ICML
Xinxu Wei, Kanhao Zhao, Yong Jiao, Hua Xie, Lifang He, Yu Zhang
2024 J jnl
DA-DRN: A degradation-aware deep Retinex network for low-light image enhancement.
Digit. Signal Process.
Xinxu Wei, Xi Lin, Yongjie Li
2024 J jnl
Multi-modal Cross-domain Self-supervised Pre-training for fMRI and EEG Fusion.
CoRR
Xinxu Wei, Kanhao Zhao, Yong Jiao, Nancy B. Carlisle, Hua Xie, Gregory A. Fonzo, Yu Zhang
2024 J jnl
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG.
CoRR
Xinxu Wei, Kanhao Zhao, Yong Jiao, Nancy B. Carlisle, Hua Xie, Yu Zhang
2024 J jnl
Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning.
CoRR
Xinxu Wei, Xi Lin, Haiyun Liu, Shixuan Zhao, Yongjie Li
2024 J jnl
VPBSD:Vessel-Pattern-Based Semi-Supervised Distillation for Efficient 3D Microscopic Cerebrovascular Segmentation.
CoRR
Xi Lin, Shixuan Zhao, Xinxu Wei, Amir Shmuel, Yongjie Li
2024 — conf
Vascular Skeleton Deformation Evaluation Based on the Metric of Sinkhorn Distance.
ISBI
Xi Lin, Xinxu Wei, Shixuan Zhao, Yongjie Li
2023 J jnl
Orientation and Context Entangled Network for Retinal Vessel Segmentation.
Expert Syst. Appl.
Xinxu Wei, Kaifu Yang, Danilo Bzdok, Yongjie Li
2022 B conf
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays.
IEEE Big Data
Xinxu Wei, Xiangke Niu, Xianshi Zhang, Yongjie Li
2022 J jnl
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays.
CoRR
Xinxu Wei, Haohan Bai, Xian-Shi Zhang, Yongjie Li
2022 J jnl
Orientation and Context Entangled Network for Retinal Vessel Segmentation.
CoRR
Xinxu Wei, Kaifu Yang, Danilo Bzdok, Yongjie Li
2022 — conf
TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement.
ICANN (3)
Xinxu Wei, Xian-Shi Zhang, Yongjie Li
2021 J jnl
BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration.
CoRR
Xinxu Wei, Xian-Shi Zhang, Shisen Wang, Cheng Cheng, Yanlin Huang, Kaifu Yang, Yongjie Li
2021 J jnl
DA-DRN: Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement.
CoRR
Xinxu Wei, Xian-Shi Zhang, Shisen Wang, Cheng Cheng, Yanlin Huang, Kaifu Yang, Yongjie Li
2021 J jnl
TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement.
CoRR
Xinxu Wei, Xian-Shi Zhang, Shisen Wang, Yanlin Huang, Yongjie Li