Xuyun Wen

According to our database, Xuyun Wen authored at least 24 papers between 2014 and 2024.

Collaborative distances:

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

2024

D-MHGCN: An End-to-End Individual Behavioral Prediction Model Using Dual Multi-Hop Graph Convolutional Network.

Xuyun Wen, Qumei Cao, Yunxi Zhao, Xia Wu, Daoqiang Zhang

IEEE J. Biomed. Health Informatics, October, 2024

TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG.

Peiliang Gong, Pengpai Wang, Yueying Zhou, Xuyun Wen, Daoqiang Zhang

IEEE Trans. Intell. Transp. Syst., July, 2024

Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis.

Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang

IEEE Trans. Medical Imaging, April, 2024

Automated individual cortical parcellation via consensus graph representation learning.

Xuyun Wen, Mengting Yang, Shile Qi, Xia Wu, Daoqiang Zhang

NeuroImage, 2024

TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI.

Yunxi Zhao, Dong Nie, Geng Chen, Xia Wu, Daoqiang Zhang, Xuyun Wen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI.

Pengcheng Xue, Dong Nie, Meijiao Zhu, Ming Yang, Han Zhang, Daoqiang Zhang, Xuyun Wen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise.

Haotian Jiang, Shu Zhang, Xuyun Wen, Hui Cui, Jun Lu, Islem Rekik, Jiquan Ma, Geng Chen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Cross-Subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation.

Yueying Zhou, Pengpai Wang, Peiliang Gong, Fulin Wei, Xuyun Wen, Xia Wu, Daoqiang Zhang

IEEE Trans. Instrum. Meas., 2023

Decoding the Continuous Motion Imagery Trajectories of Upper Limb Skeleton Points for EEG-Based Brain-Computer Interface.

Pengpai Wang, Peiliang Gong, Yueying Zhou, Xuyun Wen, Daoqiang Zhang

IEEE Trans. Instrum. Meas., 2023

Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis.

Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation.

Yili Lin, Dong Nie, Yuting Liu, Ming Yang, Daoqiang Zhang, Xuyun Wen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Multi-View Clustering-Based Method for Individual and Group Cortical Parcellations with Resting-State fMRI.

Mengting Yang, Li-Ming Hsu, Shile Qi, Daoqiang Zhang, Xuyun Wen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis.

Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition.

Yueying Zhou, Pengpai Wang, Peiliang Gong, Yanling Liu, Xuyun Wen, Xia Wu, Daoqiang Zhang

Proceedings of the Neural Information Processing - 29th International Conference, 2022

A Multi-Scale Multi-Hop Graph Convolution Network for Predicting Fluid Intelligence via Functional Connectivity.

Xuyun Wen, Qumei Cao, Daoqiang Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A Multilayer Maximum Spanning Tree Kernel For Brain Networks.

Xiaoxin Wang, Xuyun Wen, Kai Ma, Daoqiang Zhang

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Multi-Layer Random Walk Method for Local Dynamic Community Detection in Brain Functional Network.

Xuyun Wen, Daoqiang Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy.

Xuyun Wen, Li-Ming Hsu, Weili Lin, Han Zhang, Dinggang Shen

CoRR, 2020

A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy.

Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

First-year development of modules and hubs in infant brain functional networks.

Xuyun Wen, Han Zhang, Gang Li, Mingxia Liu, Weiyan Yin, Weili Lin, Jun Zhang, Dinggang Shen

NeuroImage, 2019

A Multi-Objective Community Detection Algorithm for Directed Network Based on Random Walk.

Xuyun Wen, Ying Lin

IEEE Access, 2019

A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI.

Tae-Eui Kam, Xuyun Wen, Bing Jin, Zhicheng Jiao, Li-Ming Hsu, Zhen Zhou, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017

A Maximal Clique Based Multiobjective Evolutionary Algorithm for Overlapping Community Detection.

Xuyun Wen, Wei-Neng Chen, Ying Lin, Tianlong Gu, Huaxiang Zhang, Yun Li, Yilong Yin, Jun Zhang

IEEE Trans. Evol. Comput., 2017

2014

A new dynamic Bayesian network approach for determining effective connectivity from fMRI data.

Xia Wu, Xuyun Wen, Juan Li, Li Yao

Neural Comput. Appl., 2014