Wei-Gang Cui

Orcid: 0000-0002-7983-9161

According to our database1, Wei-Gang Cui authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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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

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

SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration.
CoRR, 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


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