Li Yao
Orcid: 0000-0001-7730-7850Affiliations:
- Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning, China
According to our database1,
Li Yao
authored at least 85 papers
between 2001 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Deep Multidilation Temporal and Spatial Dependence Modeling in Stereoscopic 3-D EEG for Visual Discomfort Assessment.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
2022
A Computational Monte Carlo Simulation Strategy to Determine the Temporal Ordering of Abnormal Age Onset Among Biomarkers of Alzheimer's Disease.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Identifying Cortical Brain Directed Connectivity Networks From High-Density EEG for Emotion Recognition.
IEEE Trans. Affect. Comput., 2022
IEEE Trans. Affect. Comput., 2022
Pattern Recognit., 2022
Cogn. Comput., 2022
Comput. Methods Programs Biomed., 2022
Copula-based transformer in EEG to assess visual discomfort induced by stereoscopic 3D.
Biomed. Signal Process. Control., 2022
Robust deep multi-view subspace clustering networks with a correntropy-induced metric.
Appl. Intell., 2022
2021
Symbiotic organisms search algorithm using random walk and adaptive Cauchy mutation on the feature selection of sleep staging.
Expert Syst. Appl., 2021
Evolving convolutional neural networks by symbiotic organisms search algorithm for image classification.
Appl. Soft Comput., 2021
2020
Individual-specific and shared representations during episodic memory encoding and retrieval.
NeuroImage, 2020
Mixture Kernel Density Estimation and Remedied Correlation Matrix on the EEG-Based Copula Model for the Assessment of Visual Discomfort.
Cogn. Comput., 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Intelligent Computing Theories and Application, 2020
A semi-supervised classification approach based on restricted Boltzmann machine for fMRI data.
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020
2019
BMC Medical Imaging, 2019
Changes in the Functional and Structural Default Mode Network Across the Adult Lifespan Based on Partial Least Squares.
IEEE Access, 2019
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019
Application of Euler Elastica Regularized Logistic Regression on Resting-state fMRI for Identification of Alzheimer's Disease.
Proceedings of the 4th International Conference on Biomedical Signal and Image Processing, 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
Euler Elastica Regularized Logistic Regression for Whole-Brain Decoding of fMRI Data.
IEEE Trans. Biomed. Eng., 2018
Brain State Decoding Based on fMRI Using Semisupervised Sparse Representation Classifications.
Comput. Intell. Neurosci., 2018
IEEE Access, 2018
Brain decoding using deep convolutional network and its application in cross-subject analysis.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Semi-supervised sparse representation classifier with random sample subset ensembles in fMRI-based brain state decoding.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Improved Application of Sparse Representation Classifier in fMRI-based Brain State Decoding.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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 Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Proceedings of the Advances in Web-Based Learning - ICWL 2017, 2017
Proceedings of the Advances in Web-Based Learning - ICWL 2017, 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
Real-time ballistocardiographic artifact reduction using the <i>k</i>-teager energy operator detector and multi-channel referenced adaptive noise cancelling.
Int. J. Imaging Syst. Technol., 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
NeuroImage, 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
Cortical activities of single-trial P300 amplitudes modulated by memory load using simultaneous EEG-fMRI.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Interaction of multiple networks modulated by the working memory training based on real-time fMRI.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 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
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Comparative study of two sparse multinomial logistic regression models in decoding visual stimuli from brain activity of fMRI.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
2013
Improved Estimation of the Number of Independent Components for Functional Magnetic Resonance Data by a Whitening Filter.
IEEE J. Biomed. Health Informatics, 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
Int. J. Imaging Syst. Technol., 2013
An improvement of independent component analysis with projection method applied to multi-task fMRI data.
Comput. Biol. Medicine, 2013
Alterations in Resting-State after Motor Imagery Training: A Pilot Investigation with Eigenvector Centrality Mapping.
Proceedings of the Human-Computer Interaction. Towards Intelligent and Implicit Interaction, 2013
Visual Image Reconstruction from fMRI Activation Using Multi-scale Support Vector Machine Decoders.
Proceedings of the Human-Computer Interaction. Towards Intelligent and Implicit Interaction, 2013
Proceedings of the Foundations of Augmented Cognition, 2013
2012
Determining Effective Connectivity from FMRI Data Using a Gaussian Dynamic Bayesian Network.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
The oscillatory activities and its synchronization in auditory-visual integration as revealed by event-related potentials to bimodal stimuli.
Proceedings of the Human Vision and Electronic Imaging XVII, 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
Spatio-temporal pattern analysis of single-trial EEG signals recorded during visual object recognition.
Sci. China Inf. Sci., 2011
2010
NeuroImage, 2010
A computational model of early vision based on synchronized response and inner product operation.
Neurocomputing, 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
2009
Multiple neural networks supporting a semantic task: An fMRI study using independent component analysis.
NeuroImage, 2009
2008
A spatiotemporal approach to N170 detection with application to brain-computer interfaces.
Proceedings of the IEEE International Conference on Systems, 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Automated diagnosis and prediction of Alzheimer disease using magnetic resonance image.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Application of Time-varying Coherence to Coordinative Connectivity Based on Event Related EEG.
Proceedings of the Third International Conference on Natural Computation, 2007
2006
A new post-processing method of applying independent component analysis to fMRI data.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
An automated normative-based fluorodeoxyglucose positron emission tomography image-analysis procedure to aid Alzheimer disease diagnosis using statistical parametric mapping and interactive image display.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Time Variant Causality Model Applied in Brain Connectivity Network Based on Event Related Potential.
Proceedings of the Neural Information Processing, 13th International Conference, 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
2005
Constructing and assessing brain templates from Chinese pediatric MRI data using SPM.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
2004
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
2001
Sci. China Ser. F Inf. Sci., 2001