Xia Wu
Orcid: 0000-0002-2377-6093Affiliations:
- Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- Beijing Normal University, School of Artificial Intelligence, Beijing, China
According to our database1,
Xia Wu
authored at least 59 papers
between 2004 and 2024.
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Bibliography
2024
D-MHGCN: An End-to-End Individual Behavioral Prediction Model Using Dual Multi-Hop Graph Convolutional Network.
IEEE J. Biomed. Health Informatics, October, 2024
Few-Shot Synthetic Online Transfer Learning for Cross-Site Neurological Disease Diagnosis.
IEEE Trans. Comput. Soc. Syst., April, 2024
An Overview of Brain Fingerprint Identification Based on Various Neuroimaging Technologies.
IEEE Trans. Cogn. Dev. Syst., February, 2024
Decoding Human Interaction Type From Inter-Brain Synchronization by Using EEG Brain Network.
IEEE J. Biomed. Health Informatics, January, 2024
Multi-Scale Spatio-Temporal Fusion With Adaptive Brain Topology Learning for fMRI Based Neural Decoding.
IEEE J. Biomed. Health Informatics, January, 2024
Interaction Between Dynamic Affection and Arithmetic Cognitive Ability: A Practical Investigation With EEG Measurement.
IEEE Trans. Affect. Comput., 2024
Fine-Grained Interpretability for EEG Emotion Recognition: Concat-Aided Grad-CAM and Systematic Brain Functional Network.
IEEE Trans. Affect. Comput., 2024
BLSAN: A Brain Lateralization-Guided Subject Adaptive Network for Motor Imagery Classification.
IEEE Signal Process. Lett., 2024
Towards better video services: An EEG-based interpretable model for functional quality of experience evaluation.
Displays, 2024
WSEL: EEG Feature Selection with Weighted Self-expression Learning for Incomplete Multi-dimensional Emotion Recognition.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
IEEE J. Biomed. Health Informatics, 2023
Cross-Subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Affect. Comput., 2023
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping.
Medical Image Anal., 2023
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2022
A General Framework for Feature Selection Under Orthogonal Regression With Global Redundancy Minimization.
IEEE Trans. Knowl. Data Eng., 2022
Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition.
IEEE Trans. Biomed. Eng., 2022
IEEE Trans. Cogn. Dev. Syst., 2022
Identifying Cortical Brain Directed Connectivity Networks From High-Density EEG for Emotion Recognition.
IEEE Trans. Affect. Comput., 2022
IEEE Trans. Affect. Comput., 2022
Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Altered Time-Frequency Feature in Default Mode Network of Autism Based on Improved Hilbert-Huang Transform.
IEEE J. Biomed. Health Informatics, 2021
Estimating Functional Connectivity by Integration of Inherent Brain Function Activity Pattern Priors.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition.
Medical Image Anal., 2021
2020
Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Eeg Feature Selection Using Orthogonal Regression: Application to Emotion Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
A Novel Graph Wavelet Model for Brain Multi-scale Activational-Connectional Feature Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Novel Sparse Overlapping Modularized Gaussian Graphical Model for Functional Connectivity Estimation.
Proceedings of the Information Processing in Medical Imaging, 2019
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders.
Proceedings of the Information Processing in Medical Imaging, 2019
Working Memory Training Using EEG Neurofeedback Based on Theta Coherence of Brain Regions.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019
2018
IEEE Access, 2018
2017
Pattern Recognit., 2017
Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning.
Frontiers Comput. Neurosci., 2017
Multi-modal discriminative dictionary learning for Alzheimer's disease and mild cognitive impairment.
Comput. Methods Programs Biomed., 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Multi-Feature Kernel Discriminant Dictionary Learning for Classification in Alzheimer's Disease.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017
Abnormal EEG-based functional connectivity under a face-word stroop task in depression.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Supervised within-class-similar discriminative dictionary learning for face recognition.
J. Vis. Commun. Image Represent., 2016
A real-time method to reduce ballistocardiogram artifacts from EEG during fMRI based on optimal basis sets (OBS).
Comput. Methods Programs Biomed., 2016
2015
Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment.
Comput. Methods Programs Biomed., 2015
Discriminative analysis of non-linear brain connectivity for leukoaraiosis with resting-state fMRI.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
A new dynamic Bayesian network approach for determining effective connectivity from fMRI data.
Neural Comput. Appl., 2014
Frontiers Comput. Neurosci., 2014
Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state.
Frontiers Comput. Neurosci., 2014
Characterizing structural association alterations within brain networks in normal aging using Gaussian Bayesian networks.
Frontiers Comput. Neurosci., 2014
2013
The Receiver Operational Characteristic for Binary Classification with Multiple Indices and Its Application to the Neuroimaging Study of Alzheimer's Disease.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
2012
Determining Effective Connectivity from FMRI Data Using a Gaussian Dynamic Bayesian Network.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
2011
Large-scale directional connections among multi resting-state neural networks in human brain: A functional MRI and Bayesian network modeling study.
NeuroImage, 2011
2010
NeuroImage, 2010
2009
Multiple neural networks supporting a semantic task: An fMRI study using independent component analysis.
NeuroImage, 2009
2006
A new post-processing method of applying independent component analysis to fMRI data.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Applications of Granger Causality Model to Connectivity Network Based on fMRI Time Series.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006
2004
Proceedings of the Medical Imaging 2004: Image Processing, 2004