Yu Zhang
Orcid: 0000-0003-4087-6544Affiliations:
- Lehigh University, Department of Bioengineering, Bethlehem, PA, USA
- East China University of Science and Technology, Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, Shanghai, China (PhD 2013)
- RIKEN Brain Science Institute, Saitama, Japan (former)
According to our database1,
Yu Zhang
authored at least 85 papers
between 2011 and 2024.
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Bibliography
2024
Assessing the Potential of Data Augmentation in EEG Functional Connectivity for Early Detection of Alzheimer's Disease.
Cogn. Comput., January, 2024
An Insight Into Neurodegeneration: Harnessing Functional MRI Connectivity in the Diagnosis of Mild Cognitive Impairment.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Multi-Class Classification of Upper Limb Movements With Filter Bank Task-Related Component Analysis.
IEEE J. Biomed. Health Informatics, August, 2023
IEEE J. Biomed. Health Informatics, February, 2023
A Novel Nonconvex Low-Rank Tensor Completion Approach for Traffic Sensor Data Recovery From Incomplete Measurements.
IEEE Trans. Instrum. Meas., 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Image Process., 2022
A Novel Method for Constructing EEG Large-Scale Cortical Dynamical Functional Network Connectivity (dFNC): WTCS.
IEEE Trans. Cybern., 2022
A Generalized Graph Regularized Non-Negative Tucker Decomposition Framework for Tensor Data Representation.
IEEE Trans. Cybern., 2022
Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis.
IEEE Trans. Cybern., 2022
A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD.
NeuroImage, 2022
Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease.
CoRR, 2022
Decoding SSVEP patterns from EEG via multivariate variational mode decomposition-informed canonical correlation analysis.
Biomed. Signal Process. Control., 2022
Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer's Disease Diagnosis.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Pattern Recognit., 2021
Multim. Tools Appl., 2021
Frontiers Comput. Neurosci., 2021
A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition.
Entropy, 2021
Cogn. Comput., 2021
2020
EEG classification using sparse Bayesian extreme learning machine for brain-computer interface.
Neural Comput. Appl., 2020
Neurocomputing, 2020
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients.
CoRR, 2020
M<sup>2</sup> Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
IEEE Trans. Cybern., 2019
IEEE Trans. Comput. Soc. Syst., 2019
Neural Networks, 2019
Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface.
Int. J. Neural Syst., 2019
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Online Power Scheduling for Distributed Filtering Over an Energy-Limited Sensor Network.
IEEE Trans. Ind. Electron., 2018
A Novel Multilayer Correlation Maximization Model for Improving CCA-Based Frequency Recognition in SSVEP Brain-Computer Interface.
Int. J. Neural Syst., 2018
Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces.
Expert Syst. Appl., 2018
Exploiting Convolutional Neural Networks With Deeply Local Description for Remote Sensing Image Classification.
IEEE Access, 2018
Proceedings of the 2018 TREC Video Retrieval Evaluation, 2018
Proceedings of the 8th International Conference on Bioscience, 2018
2017
Drowsiness Detection by Bayesian-Copula Discriminant Classifier Based on EEG Signals During Daytime Short Nap.
IEEE Trans. Biomed. Eng., 2017
Neurocomputing, 2017
Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.
Int. J. Neural Syst., 2017
CoRR, 2017
Comput. Intell. Neurosci., 2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data.
Proc. IEEE, 2016
Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation.
Neurocomputing, 2016
Neurocomputing, 2016
Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs.
Frontiers Comput. Neurosci., 2016
Optimized motor imagery paradigm based on imagining Chinese characters writing movement.
CoRR, 2016
Exploring motion visual-evoked potentials for multi-objective gaze-independent brain-computer interfaces.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016
Proceedings of the 3rd International Conference on Systems and Informatics, 2016
Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
An Online Gaze-Independent BCI System Used Dummy Face with Eyes Only Region as Stimulus.
Proceedings of the Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, 2016
Exploring (C)overt attention for multi-objective gaze-independent BCIs, visual angle not exceeding 1 degree.
Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016
2015
A Novel EOG/EEG Hybrid Human-Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control.
IEEE Trans. Biomed. Eng., 2015
A P300 Brain-Computer Interface Based on a Modification of the Mismatch Negativity Paradigm.
Int. J. Neural Syst., 2015
Proceedings of the 11th International Conference on Natural Computation, 2015
2014
Aggregation of Sparse Linear Discriminant analyses for Event-Related potential Classification in Brain-Computer Interface.
Int. J. Neural Syst., 2014
Frequency Recognition in SSVEP-Based BCI using Multiset Canonical Correlation Analysis.
Int. J. Neural Syst., 2014
An ERP-Based BCI using an oddball Paradigm with Different Faces and Reduced errors in Critical Functions.
Int. J. Neural Syst., 2014
An Efficient Frequency Recognition Method Based on Likelihood Ratio Test for SSVEP-Based BCI.
Comput. Math. Methods Medicine, 2014
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014
2013
Biomed. Signal Process. Control., 2013
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
2012
Biomed. Signal Process. Control., 2012
Assessment of human operator functional state using a novel differential evolution optimization based adaptive fuzzy model.
Biomed. Signal Process. Control., 2012
Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012
2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011