A new dynamic Bayesian network approach for determining effective connectivity from fMRI data. - Xia Wu 001; Xuyun Wen; Juan Li; Li Yao 002 (Neural Comput. Appl., 2014)

A Maximal Clique Based Multiobjective Evolutionary Algorithm for Overlapping Community Detection. - Xuyun Wen; Wei-Neng Chen; Ying Lin 001; Tianlong Gu; Huaxiang Zhang 001; Yun Li 002; Yilong Yin; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2017)

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 004; Yujie Liu; Koji Yamashita; Sheng-Che Hung; Weili Lin; Han Zhang 002; Dinggang Shen (MICCAI (3), 2019)

A Multi-Objective Community Detection Algorithm for Directed Network Based on Random Walk. - Xuyun Wen; Ying Lin 001 (IEEE Access, 2019)

First-year development of modules and hubs in infant brain functional networks. - Xuyun Wen; Han Zhang 002; Gang Li 001; Mingxia Liu 001; Weiyan Yin; Weili Lin; Jun Zhang 003; Dinggang Shen (NeuroImage, 2019)

A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. - Mayssa Soussia; Xuyun Wen; Zhen Zhou 004; Bing Jin; Tae-Eui Kam; Li-Ming Hsu; Zhengwang Wu; Gang Li 001; Li Wang 026; Islem Rekik; Weili Lin; Dinggang Shen; et al. (MICCAI (7), 2020)

Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy. - Xuyun Wen; Li-Ming Hsu; Weili Lin; Han Zhang 002; Dinggang Shen (CoRR, 2020)

A Multi-Layer Random Walk Method for Local Dynamic Community Detection in Brain Functional Network. - Xuyun Wen; Daoqiang Zhang (BIBM, 2021)

A Multilayer Maximum Spanning Tree Kernel For Brain Networks. - Xiaoxin Wang; Xuyun Wen; Kai Ma; Daoqiang Zhang (ISBI, 2021)

A Multi-Scale Multi-Hop Graph Convolution Network for Predicting Fluid Intelligence via Functional Connectivity. - Xuyun Wen; Qumei Cao; Daoqiang Zhang (BIBM, 2022)

Deep Domain Adaptation for EEG-Based Cross-Subject Cognitive Workload Recognition. - Yueying Zhou; Pengpai Wang; Peiliang Gong; Yanling Liu; Xuyun Wen; Xia Wu 001; Daoqiang Zhang (ICONIP (5), 2022)

Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis. - Kai Ma; Xuyun Wen; Qi Zhu 001; Daoqiang Zhang (MICCAI (3), 2022)

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 (ISBI, 2023)

Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation. - Yili Lin; Dong Nie; Yuting Liu; Ming Yang; Daoqiang Zhang; Xuyun Wen (MICCAI (1), 2023)

Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis. - Kai Ma; Xuyun Wen; Qi Zhu 001; Daoqiang Zhang (MICCAI (5), 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)

Cross-Subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation. - Yueying Zhou; Pengpai Wang; Peiliang Gong; Fulin Wei; Xuyun Wen; Xia Wu 001; Daoqiang Zhang (IEEE Trans. Instrum. Meas., 2023)

Multi-Modal Brain Graph Learning of Shared-Specific Features for Schizophrenia Diagnosis. - Yin Huang; Geng Chen 001; Xuyun Wen; Dinggang Shen (BIBM, 2024)

Decoding White Matter Fiber ODFs: A Mixture Learning Framework in x-q Space. - Jiquan Ma; Chengdong Deng; Geng Chen 001; Haotian Jiang; Shijie Huang; Jaeil Kim; Xuyun Wen; Dinggang Shen (BIBM, 2024)

Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise. - Haotian Jiang; Shu Zhang 001; Xuyun Wen; Hui Cui 002; Jun Lu; Islem Rekik; Jiquan Ma; Geng Chen 001 (ISBI, 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 002; Daoqiang Zhang; Xuyun Wen (MICCAI (11), 2024)

TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI. - Yunxi Zhao; Dong Nie; Geng Chen; Xia Wu; Daoqiang Zhang; Xuyun Wen (MICCAI (11), 2024)

Automated individual cortical parcellation via consensus graph representation learning. - Xuyun Wen; Mengting Yang; Shile Qi; Xia Wu; Daoqiang Zhang (NeuroImage, 2024)

Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis. - Kai Ma; Xuyun Wen; Qi Zhu 001; Daoqiang Zhang (IEEE Trans. Medical Imaging, 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., 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 001; Daoqiang Zhang (IEEE J. Biomed. Health Informatics, 2024)

Improve Language Model and Brain Alignment via Associative Memory. - Congchi Yin; Yongpeng Zhang; Xuyun Wen; Piji Li (ACL (Findings), 2025)

Improving Brain-to-Image Reconstruction via Fine-Grained Text Bridging. - Runze Xia; Shuo Feng; Renzhi Wang; Congchi Yin; Xuyun Wen; Piji Li (CoRR, 2025)

Sliced Wasserstein graph kernel for measuring global topological similarity of brain functional networks. - Kai Ma; Qi Zhu 001; Xuyun Wen; Xibei Yang; Daoqiang Zhang (Pattern Recognit., 2026)