Wei-Gang Cui
Orcid: 0000-0002-7983-9161
According to our database1,
Wei-Gang Cui
authored at least 21 papers
between 2017 and 2024.
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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
Diffusion Probabilistic Learning With Gate-Fusion Transformer and Edge-Frequency Attention for Retinal Vessel Segmentation.
IEEE Trans. Instrum. Meas., 2024
A Multi-Level Alignment and Cross-Modal Unified Semantic Graph Refinement Network for Conversational Emotion Recognition.
IEEE Trans. Affect. Comput., 2024
SUGAR: Spherical ultrafast graph attention framework for cortical surface registration.
Medical Image Anal., 2024
SG-Transunet: A segmentation-guided Transformer U-Net model for KRAS gene mutation status identification in colorectal cancer.
Comput. Biol. Medicine, 2024
2023
Attention-Rectified and Texture-Enhanced Cross-Attention Transformer Feature Fusion Network for Facial Expression Recognition.
IEEE Trans. Ind. Informatics, December, 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
A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition.
IEEE Trans. Affect. Comput., 2022
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
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
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach.
Knowl. Based Syst., 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 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
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis.
CoRR, 2018
2017
High-resolution time-frequency representation of EEG data using multi-scale wavelets.
Int. J. Syst. Sci., 2017
Automatic Epileptic Seizure Detection in EEG Signals Using Multi-Domain Feature Extraction and Nonlinear Analysis.
Entropy, 2017