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Xia Wu 0001
Person information
- affiliation: Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- affiliation: Beijing Normal University, School of Artificial Intelligence, Beijing, China
Other persons with the same name
- Xia Wu — disambiguation page
- Xia Wu 0002 — Southeast University, School of Mathematics, Nanjing, China
- Xia Wu 0003
— Xiangnan University, College of Mathematics and Finance, Chenzhou, China
- Xia Wu 0004
- Xia Wu 0005
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2020 – today
- 2025
- [j39]Zhaodi Pei, Zhiyuan Zhu
Disentangle the group and individual components of functional connectome with autoencoders. Neural Networks 181: 106786 (2025) - 2024
- [j38]Yifan Niu, Kexin Di, Gangyan Zeng, Tao Wei, Yuan Zhang, Xia Wu
Towards better video services: An EEG-based interpretable model for functional quality of experience evaluation. Displays 82: 102657 (2024) - [j37]Fulin Wei
BLSAN: A Brain Lateralization-Guided Subject Adaptive Network for Motor Imagery Classification. IEEE Signal Process. Lett. 31: 2630-2634 (2024) - [j36]Bingxiu Liu
Fine-Grained Interpretability for EEG Emotion Recognition: Concat-Aided Grad-CAM and Systematic Brain Functional Network. IEEE Trans. Affect. Comput. 15(2): 671-684 (2024) - [j35]Xiaonan Yang
Interaction Between Dynamic Affection and Arithmetic Cognitive Ability: A Practical Investigation With EEG Measurement. IEEE Trans. Affect. Comput. 15(3): 1427-1438 (2024) - [j34]Shihao Zhang
An Overview of Brain Fingerprint Identification Based on Various Neuroimaging Technologies. IEEE Trans. Cogn. Dev. Syst. 16(1): 151-164 (2024) - [j33]Zhaodi Pei, Fulin Wei
Few-Shot Synthetic Online Transfer Learning for Cross-Site Neurological Disease Diagnosis. IEEE Trans. Comput. Soc. Syst. 11(2): 2201-2209 (2024) - [j32]Xiangcun Wang
Decoding Human Interaction Type From Inter-Brain Synchronization by Using EEG Brain Network. IEEE J. Biomed. Health Informatics 28(1): 204-215 (2024) - [j31]Ziyu Li
Multi-Scale Spatio-Temporal Fusion With Adaptive Brain Topology Learning for fMRI Based Neural Decoding. IEEE J. Biomed. Health Informatics 28(1): 262-272 (2024) - [j30]Xuyun Wen
D-MHGCN: An End-to-End Individual Behavioral Prediction Model Using Dual Multi-Hop Graph Convolutional Network. IEEE J. Biomed. Health Informatics 28(10): 6130-6140 (2024) - [c22]Haonan Mou, Wenting Yang, Shihao Zhang, Zhaodi Pei, Ziyu Li, Xia Wu:
Hierarchical Window Attention for Motor Imagery EEG Classification. ISBI 2024: 1-5 - [c21]Xueyuan Xu
WSEL: EEG Feature Selection with Weighted Self-expression Learning for Incomplete Multi-dimensional Emotion Recognition. ACM Multimedia 2024: 350-359 - [i2]Xueyuan Xu, Fulin Wei, Tianyuan Jia, Li Zhuo, Feiping Nie, Xia Wu:
Embedded Multi-label Feature Selection via Orthogonal Regression. CoRR abs/2403.00307 (2024) - 2023
- [j29]Zhiyuan Zhu, Taicheng Huang, Zonglei Zhen, Boyu Wang, Xia Wu, Shuo Li
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping. Medical Image Anal. 83: 102681 (2023) - [j28]Xueyuan Xu
EEG Feature Selection via Global Redundancy Minimization for Emotion Recognition. IEEE Trans. Affect. Comput. 14(1): 421-435 (2023) - [j27]Yueying Zhou
Cross-Subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j26]Ziyu Li, Zhiyuan Zhu
Jointly Fusing Multi-Scale Spatial-Logical Brain Networks: A Neural Decoding Method. IEEE J. Biomed. Health Informatics 27(1): 445-456 (2023) - [c20]Qing Li, Haixing Dai, Jinglei Lv
Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search. ADMA (3) 2023: 79-91 - [c19]Fulin Wei, Tianyuan Jia, Ziyu Li, Zhaodi Pei, Xia Wu:
A Subject-Adaptive Brain State Decoding Model via Ensemble Transfer Learning. NER 2023: 1-4 - 2022
- [j25]Ziyu Li
The Recognition of Multiple Anxiety Levels Based on Electroencephalograph. IEEE Trans. Affect. Comput. 13(1): 519-529 (2022) - [j24]Hailing Wang
Identifying Cortical Brain Directed Connectivity Networks From High-Density EEG for Emotion Recognition. IEEE Trans. Affect. Comput. 13(3): 1489-1500 (2022) - [j23]Yueying Zhou
Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review. IEEE Trans. Cogn. Dev. Syst. 14(3): 799-818 (2022) - [j22]Qing Li
Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition. IEEE Trans. Biomed. Eng. 69(2): 624-634 (2022) - [j21]Xueyuan Xu
A General Framework for Feature Selection Under Orthogonal Regression With Global Redundancy Minimization. IEEE Trans. Knowl. Data Eng. 34(11): 5056-5069 (2022) - [c18]Haixing Dai, Qing Li, Lin Zhao
Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition. MLMI@MICCAI 2022: 279-287 - 2021
- [j20]Qing Li
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition. Medical Image Anal. 69: 101974 (2021) - [j19]Zhiyuan Zhu
Estimating Functional Connectivity by Integration of Inherent Brain Function Activity Pattern Priors. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2420-2430 (2021) - [j18]Han Zhang, Rui Li
Altered Time-Frequency Feature in Default Mode Network of Autism Based on Improved Hilbert-Huang Transform. IEEE J. Biomed. Health Informatics 25(2): 485-492 (2021) - [j17]Xia Wu
Supervised Feature Selection With Orthogonal Regression and Feature Weighting. IEEE Trans. Neural Networks Learn. Syst. 32(5): 1831-1838 (2021) - 2020
- [c17]Xueyuan Xu, Fulin Wei, Zhiyuan Zhu, Jianhong Liu, Xia Wu:
Eeg Feature Selection Using Orthogonal Regression: Application to Emotion Recognition. ICASSP 2020: 1239-1243 - [c16]Xueyuan Xu, Xia Wu:
Feature Selection Under Orthogonal Regression with Redundancy Minimizing. ICASSP 2020: 3457-3461 - [c15]Qing Li
Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition. MICCAI (7) 2020: 377-386
2010 – 2019
- 2019
- [c14]Ziyu Li, Hailing Wang, Xia Wu, Xueyuan Xu
Working Memory Training Using EEG Neurofeedback Based on Theta Coherence of Brain Regions. BCI 2019: 1-6 - [c13]Zhiyuan Zhu, Zonglei Zhen, Xia Wu:
A Novel Sparse Overlapping Modularized Gaussian Graphical Model for Functional Connectivity Estimation. IPMI 2019: 304-315 - [c12]Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu:
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. IPMI 2019: 579-591 - [c11]Wenyan Xu, Qing Li, Zhiyuan Zhu, Xia Wu:
A Novel Graph Wavelet Model for Brain Multi-scale Activational-Connectional Feature Fusion. MICCAI (3) 2019: 763-771 - [i1]Xia Wu, Xueyuan Xu, Jianhong Liu, Hailing Wang, Bin Hu, Feiping Nie:
Supervised feature selection with orthogonal regression and feature weighting. CoRR abs/1910.03787 (2019) - 2018
- [j16]Hailing Wang, Xu Lei, Zhichao Zhan, Li Yao, Xia Wu
A New fMRI Informed Mixed-Norm Constrained Algorithm for EEG Source Localization. IEEE Access 6: 8258-8269 (2018) - [j15]Chunliang Feng, Benjamin Becker, Wenhao Huang
Neural substrates of the emotion-word and emotional counting Stroop tasks in healthy and clinical populations: A meta-analysis of functional brain imaging studies. NeuroImage 173: 258-274 (2018) - 2017
- [j14]Qing Li
Multi-modal discriminative dictionary learning for Alzheimer's disease and mild cognitive impairment. Comput. Methods Programs Biomed. 150: 1-8 (2017) - [j13]Qing Li
Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning. Frontiers Comput. Neurosci. 11: 117 (2017) - [j12]Xia Wu, Qing Li
Multi-feature kernel discriminant dictionary learning for face recognition. Pattern Recognit. 66: 404-411 (2017) - [c10]Zhenghao Guo
Abnormal EEG-based functional connectivity under a face-word stroop task in depression. BIBM 2017: 946-951 - [c9]Hailiang Long, Zhenghao Guo
Detecting depression in speech: Comparison and combination between different speech types. BIBM 2017: 1052-1058 - [c8]Qing Li, Xia Wu, Lele Xu, Li Yao, Kewei Chen:
Multi-Feature Kernel Discriminant Dictionary Learning for Classification in Alzheimer's Disease. DICTA 2017: 1-6 - [c7]Nini Mao, Hongna Zheng, Zhi-ying Long, Li Yao, Xia Wu:
Gender differences in dynamic functional connectivity based on resting-state fMRI. EMBC 2017: 2940-2943 - 2016
- [j11]Xia Wu, Tong Wu, Zhichao Zhan, Li Yao, Xiaotong Wen:
A real-time method to reduce ballistocardiogram artifacts from EEG during fMRI based on optimal basis sets (OBS). Comput. Methods Programs Biomed. 127: 114-125 (2016) - [j10]Lele Xu, Xia Wu, Kewei Chen, Li Yao:
Supervised within-class-similar discriminative dictionary learning for face recognition. J. Vis. Commun. Image Represent. 38: 561-572 (2016) - 2015
- [j9]Lele Xu, Xia Wu, Kewei Chen, Li Yao:
Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment. Comput. Methods Programs Biomed. 122(2): 182-190 (2015) - [c6]Youzhi Lai, Lele Xu, Li Yao, Xia Wu:
Discriminative analysis of non-linear brain connectivity for leukoaraiosis with resting-state fMRI. Computer-Aided Diagnosis 2015: 94142I - 2014
- [j8]Xia Wu, Xinyu Yu, Li Yao, Rui Li
Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state. Frontiers Comput. Neurosci. 8: 118 (2014) - [j7]Xiaojuan Guo, Yan Wang, Kewei Chen, Xia Wu, Jiacai Zhang, Ke Li, Zhen Jin, Li Yao:
Characterizing structural association alterations within brain networks in normal aging using Gaussian Bayesian networks. Frontiers Comput. Neurosci. 8: 122 (2014) - [j6]Lele Xu, Tingting Fan, Xia Wu, Kewei Chen, Xiaojuan Guo, Jiacai Zhang, Li Yao:
A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data. Frontiers Comput. Neurosci. 8: 125 (2014) - [j5]Xia Wu, Xuyun Wen, Juan Li, Li Yao:
A new dynamic Bayesian network approach for determining effective connectivity from fMRI data. Neural Comput. Appl. 24(1): 91-97 (2014) - 2013
- [j4]Xia Wu, Juan Li, Napatkamon Ayutyanont, Hillary Protas, William J. Jagust, Adam Fleisher, Eric Reiman, Li Yao, Kewei Chen
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. 10(1): 173-180 (2013) - 2012
- [c5]Xia Wu, Juan Li, Li Yao:
Determining Effective Connectivity from FMRI Data Using a Gaussian Dynamic Bayesian Network. ICONIP (1) 2012: 33-39 - 2011
- [j3]Rui Li, Kewei Chen
Large-scale directional connections among multi resting-state neural networks in human brain: A functional MRI and Bayesian network modeling study. NeuroImage 56(3): 1035-1042 (2011) - 2010
- [j2]Zhigang Qi, Xia Wu, Zhiqun Wang, Nang Zhang, Huiqing Dong, Li Yao, Kuncheng Li:
Impairment and compensation coexist in amnestic MCI default mode network. NeuroImage 50(1): 48-55 (2010)
2000 – 2009
- 2009
- [j1]Xia Wu, Jie Lu, Kewei Chen
Multiple neural networks supporting a semantic task: An fMRI study using independent component analysis. NeuroImage 45(4): 1347-1358 (2009) - 2006
- [c4]Xiaotong Wen, Xiao-jie Zhao, Li Yao, Xia Wu:
Applications of Granger Causality Model to Connectivity Network Based on fMRI Time Series. ICNC (1) 2006: 205-213 - [c3]Xia Wu, Li Yao, Zhi-ying Long, Jie Lu, Kuncheng Li:
Functional Connectivity in the Resting Brain: An Analysis Based on ICA. ICONIP (1) 2006: 175-182 - [c2]Xia Wu, Zhi-ying Long, Li Yao, Kewei Chen
A new post-processing method of applying independent component analysis to fMRI data. Image Processing 2006: 61446U - 2004
- [c1]Xia Wu, Li Yao, Zhi-ying Long, Hui Wu:
Improved Infomax algorithm of independent component analysis applied to fMRI data. Image Processing 2004
Coauthor Index
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last updated on 2024-12-10 21:41 CET by the dblp team
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