Yang Li
Orcid: 0000-0002-1751-1742Affiliations:
- Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Minjiang University, Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Fuzhou, China
- University of North Carolina at Chapel Hill, NC, USA (former)
According to our database1,
Yang Li
authored at least 59 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
A Multiview Sparse Dynamic Graph Convolution-Based Region-Attention Feature Fusion Network for Major Depressive Disorder Detection.
IEEE Trans. Comput. Soc. Syst., April, 2024
A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis.
IEEE Trans. Medical Imaging, March, 2024
Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis.
IEEE Trans. Medical Imaging, February, 2024
A Dual-Branch Spatio-Temporal-Spectral Transformer Feature Fusion Network for EEG-Based Visual Recognition.
IEEE Trans. Ind. Informatics, February, 2024
2023
Attention-Rectified and Texture-Enhanced Cross-Attention Transformer Feature Fusion Network for Facial Expression Recognition.
IEEE Trans. Ind. Informatics, December, 2023
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis.
IEEE J. Biomed. Health Informatics, October, 2023
Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation.
IEEE Trans. Cybern., September, 2023
Dynamic multi-site graph convolutional network for autism spectrum disorder identification.
Comput. Biol. Medicine, May, 2023
Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion.
IEEE Trans. Cogn. Dev. Syst., 2023
2022
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation.
IEEE Trans. Medical Imaging, 2022
Virtual Adversarial Training-Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification.
IEEE Trans. Medical Imaging, 2022
Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction.
IEEE Trans. Cybern., 2022
A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition.
IEEE Trans. Affect. Comput., 2022
2020
IEEE Trans. Medical Imaging, 2020
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification.
IEEE Trans. Medical Imaging, 2020
Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks.
IEEE Trans. Image Process., 2020
A Multiple Beta Wavelet-Based Locally Regularized Ultraorthogonal Forward Regression Algorithm for Time-Varying System Identification With Applications to EEG.
IEEE Trans. Instrum. Meas., 2020
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.
Neuroinformatics, 2020
A unified multi-level spectral-temporal feature learning framework for patient-specific seizure onset detection in EEG signals.
Knowl. Based Syst., 2020
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks.
Int. J. Imaging Syst. Technol., 2020
2019
Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification.
IEEE Trans. Medical Imaging, 2019
A Parametric Time-Frequency Conditional Granger Causality Method Using Ultra-Regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs.
IEEE Trans. Biomed. Eng., 2019
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification.
Medical Image Anal., 2019
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach.
Knowl. Based Syst., 2019
Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems.
Neurocomputing, 2019
QKD-Based Quantum Private Query Protocol in the Single-Photon Interference Communication System.
IEEE Access, 2019
Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
2018
Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG.
IEEE Trans. Neural Networks Learn. Syst., 2018
Epileptic Seizure Classification of EEGs Using Time-Frequency Analysis Based Multiscale Radial Basis Functions.
IEEE J. Biomed. Health Informatics, 2018
Cryptanalysis of a chaotic image encryption scheme based on permutation-diffusion structure.
Signal Process. Image Commun., 2018
Meaningful Image Encryption Based on Reversible Data Hiding in Compressive Sensing Domain.
Secur. Commun. Networks, 2018
Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features.
Int. J. Neural Syst., 2018
Cryptanalysis and Improvement of a Chaotic Image Encryption by First-Order Time-Delay System.
IEEE Multim., 2018
Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification.
Frontiers Neuroinformatics, 2018
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding.
CoRR, 2018
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis.
CoRR, 2018
Time-Varying Nonlinear Causality Detection Using Regularized Orthogonal Least Squares and Multi-Wavelets With Applications to EEG.
IEEE Access, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
2017
Histogram shifting in encrypted images with public key cryptosystem for reversible data hiding.
Signal Process., 2017
High-resolution time-frequency representation of EEG data using multi-scale wavelets.
Int. J. Syst. Sci., 2017
Hierarchical multi-class classification in multimodal spacecraft data using DNN and weighted support vector machine.
Neurocomputing, 2017
A Sparse Multiwavelet-Based Generalized Laguerre-Volterra Model for Identifying Time-Varying Neural Dynamics from Spiking Activities.
Entropy, 2017
Automatic Epileptic Seizure Detection in EEG Signals Using Multi-Domain Feature Extraction and Nonlinear Analysis.
Entropy, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG.
Int. J. Syst. Sci., 2016
High-resolution time-frequency analysis of EEG signals using multiscale radial basis functions.
Neurocomputing, 2016
A multiwavelet-based time-varying model identification approach for time-frequency analysis of EEG signals.
Neurocomputing, 2016
A Novel Time-Frequency Analysis in Nonstationary Signals Based Multiscale Radial Basis Functions and Forward Orthogonal Regression.
Proceedings of the Cognitive Systems and Signal Processing, 2016
Identification of time-varying neural dynamics from spiking activities using Chebyshev polynomials.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2014
Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification.
Neuroinformatics, 2014
A Novel Time-Frequency Analysis Approach for Nonstationary Time Series Using Multiresolution Wavelet.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
2013
Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2011
IEEE Trans. Control. Syst. Technol., 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Hierarchical anatomical brain networks for MCI prediction by partial least square analysis.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010