Improved Infomax algorithm of independent component analysis applied to fMRI data. - Xia Wu 001; Li Yao 002; Zhi-ying Long; Hui Wu (Image Processing, 2004)

Applications of Granger Causality Model to Connectivity Network Based on fMRI Time Series. - Xiaotong Wen; Xiao-jie Zhao; Li Yao 002; Xia Wu 001 (ICNC (1), 2006)

Functional Connectivity in the Resting Brain: An Analysis Based on ICA. - Xia Wu 001; Li Yao 002; Zhi-ying Long; Jie Lu; Kuncheng Li (ICONIP (1), 2006)

A new post-processing method of applying independent component analysis to fMRI data. - Xia Wu 001; Zhi-ying Long; Li Yao 002; Kewei Chen 001 (Image Processing, 2006)

Multiple neural networks supporting a semantic task: An fMRI study using independent component analysis. - Xia Wu 001; Jie Lu; Kewei Chen 001; Zhi-ying Long; Xiaoyi Wang; Hua Shu; Kuncheng Li; Yijun Liu; Li Yao 002 (NeuroImage, 2009)

Impairment and compensation coexist in amnestic MCI default mode network. - Zhigang Qi; Xia Wu 001; Zhiqun Wang; Nang Zhang; Huiqing Dong; Li Yao 002; Kuncheng Li (NeuroImage, 2010)

Large-scale directional connections among multi resting-state neural networks in human brain: A functional MRI and Bayesian network modeling study. - Rui Li 025; Kewei Chen 001; Adam Fleisher; Eric Reiman; Li Yao 002; Xia Wu 001 (NeuroImage, 2011)

Determining Effective Connectivity from FMRI Data Using a Gaussian Dynamic Bayesian Network. - Xia Wu 001; Juan Li; Li Yao 002 (ICONIP (1), 2012)

The Receiver Operational Characteristic for Binary Classification with Multiple Indices and Its Application to the Neuroimaging Study of Alzheimer's Disease. - Xia Wu 001; Juan Li; Napatkamon Ayutyanont; Hillary Protas; William J. Jagust; Adam Fleisher; Eric Reiman; Li Yao 002; Kewei Chen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Characterizing structural association alterations within brain networks in normal aging using Gaussian Bayesian networks. - Xiaojuan Guo; Yan Wang; Kewei Chen 001; Xia Wu 001; Jiacai Zhang; Ke Li; Zhen Jin 003; Li Yao 002 (Frontiers Comput. Neurosci., 2014)

Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state. - Xia Wu 001; Xinyu Yu; Li Yao 002; Rui Li 025 (Frontiers Comput. Neurosci., 2014)

A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data. - Lele Xu; Tingting Fan; Xia Wu 001; Kewei Chen 001; Xiaojuan Guo; Jiacai Zhang; Li Yao 002 (Frontiers Comput. Neurosci., 2014)

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)

Discriminative analysis of non-linear brain connectivity for leukoaraiosis with resting-state fMRI. - Youzhi Lai; Lele Xu; Li Yao 002; Xia Wu 001 (Computer-Aided Diagnosis, 2015)

Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment. - Lele Xu; Xia Wu 001; Kewei Chen 001; Li Yao 002 (Comput. Methods Programs Biomed., 2015)

A real-time method to reduce ballistocardiogram artifacts from EEG during fMRI based on optimal basis sets (OBS). - Xia Wu 001; Tong Wu; Zhichao Zhan; Li Yao 002; Xiaotong Wen (Comput. Methods Programs Biomed., 2016)

Supervised within-class-similar discriminative dictionary learning for face recognition. - Lele Xu; Xia Wu 001; Kewei Chen 001; Li Yao 002 (J. Vis. Commun. Image Represent., 2016)

Abnormal EEG-based functional connectivity under a face-word stroop task in depression. - Zhenghao Guo; Hailiang Long; Li Yao 002; Xia Wu 001; Hanshu Cai (BIBM, 2017)

Detecting depression in speech: Comparison and combination between different speech types. - Hailiang Long; Zhenghao Guo; Xia Wu 001; Bin Hu 001; Zhenyu Liu 006; Hanshu Cai (BIBM, 2017)

Multi-Feature Kernel Discriminant Dictionary Learning for Classification in Alzheimer's Disease. - Qing Li 027; Xia Wu 001; Lele Xu; Li Yao 002; Kewei Chen 001 (DICTA, 2017)

Gender differences in dynamic functional connectivity based on resting-state fMRI. - Nini Mao; Hongna Zheng; Zhi-ying Long; Li Yao 002; Xia Wu 001 (EMBC, 2017)

Multi-modal discriminative dictionary learning for Alzheimer's disease and mild cognitive impairment. - Qing Li 027; Xia Wu 001; Lele Xu; Kewei Chen 001; Li Yao 002; Rui Li 025 (Comput. Methods Programs Biomed., 2017)

Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning. - Qing Li 027; Xia Wu 001; Lele Xu; Kewei Chen 001; Li Yao 002; Alzheimer's Disease Neuroimaging Initiative (Frontiers Comput. Neurosci., 2017)

Multi-feature kernel discriminant dictionary learning for face recognition. - Xia Wu 001; Qing Li 027; Lele Xu; Kewei Chen 001; Li Yao 002 (Pattern Recognit., 2017)

A New fMRI Informed Mixed-Norm Constrained Algorithm for EEG Source Localization. - Hailing Wang; Xu Lei; Zhichao Zhan; Li Yao 002; Xia Wu 001 (IEEE Access, 2018)

Neural substrates of the emotion-word and emotional counting Stroop tasks in healthy and clinical populations: A meta-analysis of functional brain imaging studies. - Chunliang Feng; Benjamin Becker; Wenhao Huang; Xia Wu 001; Simon B. Eickhoff; Taolin Chen (NeuroImage, 2018)

Working Memory Training Using EEG Neurofeedback Based on Theta Coherence of Brain Regions. - Ziyu Li; Hailing Wang; Xia Wu 001; Xueyuan Xu; Shuai Wei; Li Yao 002 (BCI, 2019)

Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. - Qing Li 027; Qinglin Dong; Fangfei Ge; Ning Qiang; Yu Zhao 007; Han Wang 012; Heng Huang; Xia Wu 001; Tianming Liu 001 (IPMI, 2019)

A Novel Sparse Overlapping Modularized Gaussian Graphical Model for Functional Connectivity Estimation. - Zhiyuan Zhu; Zonglei Zhen; Xia Wu 001 (IPMI, 2019)

A Novel Graph Wavelet Model for Brain Multi-scale Activational-Connectional Feature Fusion. - Wenyan Xu; Qing Li 027; Zhiyuan Zhu; Xia Wu 001 (MICCAI (3), 2019)

Feature Selection Under Orthogonal Regression with Redundancy Minimizing. - Xueyuan Xu; Xia Wu 001 (ICASSP, 2020)

Eeg Feature Selection Using Orthogonal Regression: Application to Emotion Recognition. - Xueyuan Xu; Fulin Wei; Zhiyuan Zhu; Jianhong Liu; Xia Wu 001 (ICASSP, 2020)

Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition. - Qing Li 027; Wei Zhang 090; Jinglei Lv; Xia Wu 001; Tianming Liu 001 (MICCAI (7), 2020)

Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition. - Qing Li 027; Xia Wu 001; Tianming Liu 001 (Medical Image Anal., 2021)

Estimating Functional Connectivity by Integration of Inherent Brain Function Activity Pattern Priors. - Zhiyuan Zhu; Zonglei Zhen; Xia Wu 001; Shuo Li 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Altered Time-Frequency Feature in Default Mode Network of Autism Based on Improved Hilbert-Huang Transform. - Han Zhang; Rui Li 025; Xiaotong Wen; Qing Li 027; Xia Wu 001 (IEEE J. Biomed. Health Informatics, 2021)

Supervised Feature Selection With Orthogonal Regression and Feature Weighting. - Xia Wu 001; Xueyuan Xu; Jianhong Liu; Hailing Wang; Bin Hu 001; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

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)

Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition. - Haixing Dai; Qing Li 027; Lin Zhao 004; Liming Pan; Cheng Shi; Zhengliang Liu; Zihao Wu 001; Lu Zhang 050; Shijie Zhao 001; Xia Wu 001; Tianming Liu 001; Dajiang Zhu (MLMI@MICCAI, 2022)

The Recognition of Multiple Anxiety Levels Based on Electroencephalograph. - Ziyu Li; Xia Wu 001; Xueyuan Xu; Hailing Wang; Zhenghao Guo; Zhichao Zhan; Li Yao 002 (IEEE Trans. Affect. Comput., 2022)

Identifying Cortical Brain Directed Connectivity Networks From High-Density EEG for Emotion Recognition. - Hailing Wang; Xia Wu 001; Li Yao 002 (IEEE Trans. Affect. Comput., 2022)

Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review. - Yueying Zhou; Shuo Huang 001; Ziming Xu; Pengpai Wang; Xia Wu 001; Daoqiang Zhang (IEEE Trans. Cogn. Dev. Syst., 2022)

Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition. - Qing Li 027; Wei Zhang 090; Lin Zhao 004; Xia Wu 001; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2022)

A General Framework for Feature Selection Under Orthogonal Regression With Global Redundancy Minimization. - Xueyuan Xu; Xia Wu 001; Fulin Wei; Wei Zhong; Feiping Nie 001 (IEEE Trans. Knowl. Data Eng., 2022)

Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search. - Qing Li 027; Haixing Dai; Jinglei Lv; Lin Zhao 004; Zhengliang Liu; Zihao Wu 001; Xia Wu 001; Claire Coles; Xiaoping Hu 001; Tianming Liu 001; Dajiang Zhu (ADMA (3), 2023)

A Subject-Adaptive Brain State Decoding Model via Ensemble Transfer Learning. - Fulin Wei; Tianyuan Jia; Ziyu Li; Zhaodi Pei; Xia Wu 001 (NER, 2023)

From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping. - Zhiyuan Zhu; Taicheng Huang; Zonglei Zhen; Boyu Wang 004; Xia Wu 001; Shuo Li 001 (Medical Image Anal., 2023)

EEG Feature Selection via Global Redundancy Minimization for Emotion Recognition. - Xueyuan Xu; Tianyuan Jia; Qing Li 027; Fulin Wei; Long Ye; Xia Wu 001 (IEEE Trans. Affect. Comput., 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)

Jointly Fusing Multi-Scale Spatial-Logical Brain Networks: A Neural Decoding Method. - Ziyu Li; Zhiyuan Zhu; Qing Li 027; Xia Wu 001 (IEEE J. Biomed. Health Informatics, 2023)

Hierarchical Window Attention for Motor Imagery EEG Classification. - Haonan Mou; Wenting Yang; Shihao Zhang; Zhaodi Pei; Ziyu Li; Xia Wu 001 (ISBI, 2024)

WSEL: EEG Feature Selection with Weighted Self-expression Learning for Incomplete Multi-dimensional Emotion Recognition. - Xueyuan Xu; Li Zhuo 001; Jinxin Lu; Xia Wu 001 (ACM Multimedia, 2024)

Embedded Multi-label Feature Selection via Orthogonal Regression. - Xueyuan Xu; Fulin Wei; Tianyuan Jia; Li Zhuo 001; Feiping Nie 001; Xia Wu 001 (CoRR, 2024)

Towards better video services: An EEG-based interpretable model for functional quality of experience evaluation. - Yifan Niu; Kexin Di; Gangyan Zeng; Tao Wei; Yuan Zhang; Xia Wu 001 (Displays, 2024)

BLSAN: A Brain Lateralization-Guided Subject Adaptive Network for Motor Imagery Classification. - Fulin Wei; Xueyuan Xu; Qing Li 027; Xiuxing Li; Xia Wu 001 (IEEE Signal Process. Lett., 2024)

Fine-Grained Interpretability for EEG Emotion Recognition: Concat-Aided Grad-CAM and Systematic Brain Functional Network. - Bingxiu Liu; Jifeng Guo; C. L. Philip Chen; Xia Wu 001; Tong Zhang 015 (IEEE Trans. Affect. Comput., 2024)

Interaction Between Dynamic Affection and Arithmetic Cognitive Ability: A Practical Investigation With EEG Measurement. - Xiaonan Yang; Yilu Peng; Yuyang Han; Fangyi Li; Qin Zhang 009; Shuo Wu; Xia Wu 001 (IEEE Trans. Affect. Comput., 2024)

Multi-Scale Spatio-Temporal Fusion With Adaptive Brain Topology Learning for fMRI Based Neural Decoding. - Ziyu Li; Qing Li 027; Zhiyuan Zhu; Zhongyi Hu 001; Xia Wu 001 (IEEE J. Biomed. Health Informatics, 2024)

Decoding Human Interaction Type From Inter-Brain Synchronization by Using EEG Brain Network. - Xiangcun Wang; Ran Shi; Xia Wu 001; Jiacai Zhang (IEEE J. Biomed. Health Informatics, 2024)

An Overview of Brain Fingerprint Identification Based on Various Neuroimaging Technologies. - Shihao Zhang; Wenting Yang; Haonan Mou; Zhaodi Pei; Fangyi Li; Xia Wu 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Few-Shot Synthetic Online Transfer Learning for Cross-Site Neurological Disease Diagnosis. - Zhaodi Pei; Fulin Wei; Zhiyuan Zhu; Xia Wu 001 (IEEE Trans. Comput. Soc. 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)

BDAN-SPD: A Brain Decoding Adversarial Network Guided by Spatiotemporal Pattern Differences for Cross-Subject MI-BCI. - Fulin Wei; Xueyuan Xu; Xiuxing Li; Xia Wu 001 (IEEE Trans. Ind. Informatics, 2024)

Disentangle the group and individual components of functional connectome with autoencoders. - Zhaodi Pei; Zhiyuan Zhu; Zonglei Zhen; Xia Wu 001 (Neural Networks, 2025)

Embedded multi-label feature selection via orthogonal regression. - Xueyuan Xu; Fulin Wei; Tianze Yu; Jinxin Lu; Aomei Liu; Li Zhuo 001; Feiping Nie 001; Xia Wu 001 (Pattern Recognit., 2025)

Positive Edge-Consensus of Uncertain Fractional-Order Networked Systems. - Yanyan Ye; Yanfang Rong; Yong Wang; Xia Wu 001; Housheng Su (IEEE Trans Autom. Sci. Eng., 2025)

A Brain-Inspired Harmonized Learning With Concurrent Arbitration for Enhancing Motion Planning in Fuzzy Environments. - Tianyuan Jia; Chaoqiong Fan; Qing Li 027; Ziyu Li; Li Yao 002; Xia Wu 001 (IEEE Trans. Fuzzy Syst., 2025)

Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification. - Kexin Di; Xiuxing Li; Yuyang Han; Ziyu Li; Qing Li 027; Xia Wu 001 (CoRR, 2025)

Toward Balance Adaptive Weighted Ensemble Clustering. - Runxin Zhang; Xia Wu 001; Huimin Chen; Guanxiong He; Zheng Wang 037; Rong Wang 001; Feiping Nie 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

BrainyMP: Enhancing Motion Planning Using Graph Neural Network Inspired by Brain Spatial Relational Memory. - Tianyuan Jia; Ziyu Li; Qing Li 027; Xiuxing Li; Xia Wu 001 (IEEE Trans. Intell. Transp. Syst., 2025)

Cross-Scenario Vigilance Detection Based on EEG Analysis for Safety Driving in Autonomous. - Dingcheng Gao; Xiaoming Tao 001; Xia Wu 001; Bing Du; Yanjun Qin; Jianhua Lu (IEEE Trans. Intell. Transp. Syst., 2025)

BDR-GCL: Toward imagined speech decoding in naturalistic BCI systems via brain dynamics representation enhanced graph contrastive learning. - Yifan Niu; Ziyu Li; Li Yao 002; Xia Wu 001 (Expert Syst. Appl., 2026)

Graph pre-trained framework with spatio-temporal importance masking and fine-grained optimizing for neural decoding. - Ziyu Li; Zhiyuan Zhu; Qing Li 027; Xia Wu 001 (Pattern Recognit., 2026)