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Wei-Gang Cui
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2020 – today
- 2024
- [j20]Yulan Ma, Yuzhu Guo, Weigang Cui, Jingyu Liu, Yang Li, Yingsen Wang, Yan Qiang:
SG-Transunet: A segmentation-guided Transformer U-Net model for KRAS gene mutation status identification in colorectal cancer. Comput. Biol. Medicine 173: 108293 (2024) - [j19]Jianxun Ren, Ning An, Youjia Zhang, Danyang Wang, Zhenyu Sun, Cong Lin, Weigang Cui, Weiwei Wang, Ying Zhou, Wei Zhang, Qingyu Hu, Ping Zhang, Dan Hu, Danhong Wang, Hesheng Liu:
SUGAR: Spherical ultrafast graph attention framework for cortical surface registration. Medical Image Anal. 94: 103122 (2024) - [j18]Xiaoheng Zhang, Weigang Cui, Bin Hu, Yang Li:
A Multi-Level Alignment and Cross-Modal Unified Semantic Graph Refinement Network for Conversational Emotion Recognition. IEEE Trans. Affect. Comput. 15(3): 1553-1566 (2024) - [j17]Weigang Cui, Mingyi Sun, Qunxi Dong, Yuzhu Guo, Xiao-Feng Liao, Yang Li:
A Multiview Sparse Dynamic Graph Convolution-Based Region-Attention Feature Fusion Network for Major Depressive Disorder Detection. IEEE Trans. Comput. Soc. Syst. 11(2): 2691-2702 (2024) - [j16]Jie Luo, Weigang Cui, Song Xu, Lina Wang, Xiao Li, Xiaofeng Liao, Yang Li:
A Dual-Branch Spatio-Temporal-Spectral Transformer Feature Fusion Network for EEG-Based Visual Recognition. IEEE Trans. Ind. Informatics 20(2): 1721-1731 (2024) - [j15]Yang Li, Lingfu Xu, Yizhu Jin, Xihe Kuang, Yue Zhang, Weigang Cui, Teng Zhang:
Diffusion Probabilistic Learning With Gate-Fusion Transformer and Edge-Frequency Attention for Retinal Vessel Segmentation. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j14]Jingyu Liu, Weigang Cui, Yipeng Chen, Yulan Ma, Qunxi Dong, Ran Cai, Yang Li, Bin Hu:
Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis. IEEE Trans. Medical Imaging 43(2): 860-873 (2024) - [j13]Yulan Ma, Weigang Cui, Jingyu Liu, Yuzhu Guo, Huiling Chen, Yang Li:
A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis. IEEE Trans. Medical Imaging 43(3): 1045-1059 (2024) - 2023
- [j12]Wei-Gang Cui, Junling Du, Mingyi Sun, Shimao Zhu, Shijie Zhao, Ziwen Peng, Li Tan, Yang Li:
Dynamic multi-site graph convolutional network for autism spectrum disorder identification. Comput. Biol. Medicine 157: 106749 (2023) - [j11]Jie Luo, Weigang Cui, Jingyu Liu, Yang Li, Yuzhu Guo, Song Xu, Lina Wang:
Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion. IEEE Trans. Cogn. Dev. Syst. 15(2): 761-773 (2023) - [j10]Mingyi Sun, Weigang Cui, Yue Zhang, Shuyue Yu, Xiaofeng Liao, Bin Hu, Yang Li:
Attention-Rectified and Texture-Enhanced Cross-Attention Transformer Feature Fusion Network for Facial Expression Recognition. IEEE Trans. Ind. Informatics 19(12): 11823-11832 (2023) - [i2]Jianxun Ren, Ning An, Youjia Zhang, Danyang Wang, Zhenyu Sun, Cong Lin, Weigang Cui, Weiwei Wang, Ying Zhou, Wei Zhang, Qingyu Hu, Ping Zhang, Dan Hu, Danhong Wang, Hesheng Liu:
SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration. CoRR abs/2307.00511 (2023) - 2022
- [j9]Mingyi Sun, Wei-Gang Cui, Shuyue Yu, Hongbin Han, Bin Hu, Yang Li:
A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition. IEEE Trans. Affect. Comput. 13(4): 2218-2228 (2022) - [j8]Yang Li, Yue Zhang, Wei-Gang Cui, Baiying Lei, Xihe Kuang, Teng Zhang:
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation. IEEE Trans. Medical Imaging 41(8): 1975-1989 (2022) - 2020
- [j7]Yang Li, Jing-Bo Zhang, Wei-Gang Cui, Heng Yuan, Hua-Liang Wei:
A Multiple Beta Wavelet-Based Locally Regularized Ultraorthogonal Forward Regression Algorithm for Time-Varying System Identification With Applications to EEG. IEEE Trans. Instrum. Meas. 69(3): 916-928 (2020)
2010 – 2019
- 2019
- [j6]Yang Li, Wei-Gang Cui, Hui Huang, Yuzhu Guo, Ke Li, Tao Tan:
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach. Knowl. Based Syst. 164: 96-106 (2019) - [j5]Yang Li, Meng-Ying Lei, Wei-Gang Cui, Yuzhu Guo, Hua-Liang Wei:
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. 66(12): 3509-3525 (2019) - 2018
- [j4]Yang Li, Wei-Gang Cui, Mei-Lin Luo, Ke Li, Lina Wang:
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. 28(7): 1850003:1-1850003:17 (2018) - [j3]Yang Li, Wei-Gang Cui, Yuzhu Guo, Tingwen Huang, Xiao-Feng Yang, Hua-Liang Wei:
Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2960-2972 (2018) - [i1]Yang Li, Meng-Ying Lei, Xianrui Zhang, Wei-Gang Cui, Yuzhu Guo, Tingwen Huang, Hua-Liang Wei:
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis. CoRR abs/1810.10353 (2018) - 2017
- [j2]Lina Wang, Weining Xue, Yang Li, Mei-Lin Luo, Jie Huang, Wei-Gang Cui, Chao Huang:
Automatic Epileptic Seizure Detection in EEG Signals Using Multi-Domain Feature Extraction and Nonlinear Analysis. Entropy 19(6): 222 (2017) - [j1]Yang Li, Wei-Gang Cui, Mei-Lin Luo, Ke Li, Lina Wang:
High-resolution time-frequency representation of EEG data using multi-scale wavelets. Int. J. Syst. Sci. 48(12): 2658-2668 (2017)
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