Automatic Epileptic Seizure Detection in EEG Signals Using Multi-Domain Feature Extraction and Nonlinear Analysis. - Lina Wang 003; Weining Xue; Yang Li 010; Mei-Lin Luo; Jie Huang; Wei-Gang Cui; Chao Huang (Entropy, 2017)

High-resolution time-frequency representation of EEG data using multi-scale wavelets. - Yang Li 010; Wei-Gang Cui; Mei-Lin Luo; Ke Li; Lina Wang 003 (Int. J. Syst. Sci., 2017)

Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis. - Yang Li 010; Meng-Ying Lei; Xianrui Zhang; Wei-Gang Cui; Yuzhu Guo; Tingwen Huang; Hua-Liang Wei (CoRR, 2018)

Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features. - Yang Li 010; Wei-Gang Cui; Mei-Lin Luo; Ke Li; Lina Wang 003 (Int. J. Neural Syst., 2018)

Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG. - Yang Li 010; Wei-Gang Cui; Yuzhu Guo; Tingwen Huang; Xiao-Feng Yang; Hua-Liang Wei (IEEE Trans. Neural Networks Learn. Syst., 2018)

Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach. - Yang Li 010; Wei-Gang Cui; Hui Huang; Yuzhu Guo; Ke Li; Tao Tan (Knowl. Based Syst., 2019)

A Parametric Time-Frequency Conditional Granger Causality Method Using Ultra-Regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs. - Yang Li 010; Meng-Ying Lei; Wei-Gang Cui; Yuzhu Guo; Hua-Liang Wei (IEEE Trans. Biomed. Eng., 2019)

A Multiple Beta Wavelet-Based Locally Regularized Ultraorthogonal Forward Regression Algorithm for Time-Varying System Identification With Applications to EEG. - Yang Li 010; Jing-Bo Zhang 002; Wei-Gang Cui; Heng Yuan; Hua-Liang Wei (IEEE Trans. Instrum. Meas., 2020)

A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition. - Mingyi Sun; Wei-Gang Cui; Shuyue Yu; Hongbin Han; Bin Hu 001; Yang Li 010 (IEEE Trans. Affect. Comput., 2022)

Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation. - Yang Li 010; Yue Zhang 045; Wei-Gang Cui; Baiying Lei; Xihe Kuang; Teng Zhang (IEEE Trans. Medical Imaging, 2022)

Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion. - Jie Luo; Weigang Cui; Jingyu Liu 002; Yang Li 010; Yuzhu Guo; Song Xu; Lina Wang 003 (IEEE Trans. Cogn. Dev. Syst., 2023)

Dynamic multi-site graph convolutional network for autism spectrum disorder identification. - Wei-Gang Cui; Junling Du; Mingyi Sun; Shimao Zhu; Shijie Zhao 001; Ziwen Peng; Li Tan; Yang Li 010 (Comput. Biol. Medicine, 2023)

Attention-Rectified and Texture-Enhanced Cross-Attention Transformer Feature Fusion Network for Facial Expression Recognition. - Mingyi Sun; Weigang Cui; Yue Zhang 045; Shuyue Yu; Xiaofeng Liao 001; Bin Hu 001; Yang Li 010 (IEEE Trans. Ind. Informatics, 2023)

SG-Transunet: A segmentation-guided Transformer U-Net model for KRAS gene mutation status identification in colorectal cancer. - Yulan Ma; Yuzhu Guo; Weigang Cui; Jingyu Liu 002; Yang Li 010; Yingsen Wang; Yan Qiang (Comput. Biol. Medicine, 2024)

SUGAR: Spherical ultrafast graph attention framework for cortical surface registration. - Jianxun Ren; Ning An 003; Youjia Zhang; Danyang Wang; Zhenyu Sun 005; Cong Lin; Weigang Cui; Weiwei Wang; Ying Zhou; Wei Zhang; Qingyu Hu; Ping Zhang; et al. (Medical Image Anal., 2024)

A Multi-Level Alignment and Cross-Modal Unified Semantic Graph Refinement Network for Conversational Emotion Recognition. - Xiaoheng Zhang; Weigang Cui; Bin Hu 001; Yang Li 010 (IEEE Trans. Affect. Comput., 2024)

Diffusion Probabilistic Learning With Gate-Fusion Transformer and Edge-Frequency Attention for Retinal Vessel Segmentation. - Yang Li 010; Lingfu Xu; Yizhu Jin; Xihe Kuang; Yue Zhang 045; Weigang Cui; Teng Zhang (IEEE Trans. Instrum. Meas., 2024)

A Dual-Branch Spatio-Temporal-Spectral Transformer Feature Fusion Network for EEG-Based Visual Recognition. - Jie Luo; Weigang Cui; Song Xu; Lina Wang 003; Xiao Li; Xiaofeng Liao 001; Yang Li 010 (IEEE Trans. Ind. Informatics, 2024)

Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis. - Jingyu Liu 002; Weigang Cui; Yipeng Chen; Yulan Ma; Qunxi Dong; Ran Cai; Yang Li 010; Bin Hu 001 (IEEE Trans. Medical Imaging, 2024)

A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis. - Yulan Ma; Weigang Cui; Jingyu Liu 002; Yuzhu Guo; Huiling Chen 001; Yang Li 010 (IEEE Trans. Medical Imaging, 2024)

A Multiview Sparse Dynamic Graph Convolution-Based Region-Attention Feature Fusion Network for Major Depressive Disorder Detection. - Weigang Cui; Mingyi Sun; Qunxi Dong; Yuzhu Guo; Xiao-Feng Liao 001; Yang Li 010 (IEEE Trans. Comput. Soc. Syst., 2024)

Deep Multiview Module Adaption Transfer Network for Subject-Specific EEG Recognition. - Weigang Cui; Yansong Xiang; Yifan Wang; Tao Yu; Xiao-Feng Liao 001; Bin Hu 001; Yang Li 010 (IEEE Trans. Neural Networks Learn. Syst., 2025)