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[21] .Minyi Sun, Weigang 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 Transactions on Affective Computing, vol. 13, no. 4, pp: 2218-2228, 2022. (SCI, 影响因子：9.8, JCR: Q1) [Code: https://github.com/smy17/DANet]
[22] .Yang Li, Jingyu Liu, Yiqiao Jiang, Yu Liu and Baiying Lei, "Virtual Adversarial Training based Deep Feature Aggregation Network from Dynamic Effective Connectivity for MCI Identification ", IEEE Transactions on Medical Imaging, vol. 41, no. 1, pp: 237-251, 2022. (SCI, 影响因子：9.8, JCR: Q1), [Code: https://github.com/YangLibuaa/gkf-vat-cwGAT]
[23] .Yang Li, Yue Zhang*, Weigang Cui, Baiying Lei, Xihe Kuang, and Teng Zhang, "Dual Encoder-based Dynamic-Channel Graph Convolutional Network with Edge Enhancement for Retinal Vessel Segmentation", IEEE Transactions on Medical Imaging, vol. 41, no. 8, pp.1975-1989, 2022. (SCI, 影响因子：9.8, JCR: Q1), [Code: https://github.com/YangLibuaa/DE-DCGCN-EE].[期刊]
[24] .Weigang Cui, Yinyan Wang, Jianxun Ren, Catherine Hubbard, Xiaoxuan Fu, Shengyu Fang, Danhong Wang, Hao Zhang, Yang Li*, Luming Li*, Tao Jiang*, Hesheng Liu*, Personalized fMRI delineates functional regions preserved within brain tumors, Annals of Neurology, vol. 91, no. 3, pp: 353-366, 2022. (SCI, 影响因子：7.7, JCR: Q1)
[25] .Huifang Huang, Qian Liu, Yiqiao Jiang, Qingyu Yang, Xiaofeng Zhu, and Yang Li*. "Deep Spatio-Temporal Attention-based Recurrent Network from Dynamic Adaptive Functional Connectivity for MCI Identification", IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 30, pp: 2600-2612, 2022. (SCI, 影响因子：5.2, JCR: Q1)
[26] .Yang Li, Lianghui Guo, Yu Liu, Jingyu Liu and Fangang Meng, "A Temporal-Spectral-based Squeeze-and-Excitation Feature Fusion Network for Motor Imagery EEG Decoding", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 1534-1545, 2021. (SCI, 影响因子：5.2, JCR: Q1), [Code: https://github.com/LianghuiGuo/TS-SEFFNet]
[27] .Yang Li, Jingyu Liu, Zhenyu Tang, Baiying Lei. "Deep Spatial-Temporal Feature Fusion from Adaptive Dynamic Functional Connectivity for MCI Identification." IEEE Transactions on Medical Imaging, vol. 39, no. 9, pp. 2818-2830, 2020. (SCI, 影响因子：9.8, JCR: Q1), [Code: https://github.com/l675451097/Adaptive-Dynamic-Functional-Connectivity]
[28] .Yang Li, Jinbo Zhang, Weigang Cui, Heng Yuan and Hualiang Wei. "A Multiple Beta Wavelet-based Locally Regularized Ultra-Orthogonal Forward Regression Algorithm for Time-Varying System Identification with applications to EEGs." IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 3, pp. 2960-2972, 2020. (SCI, 影响因子：5.9, JCR: Q1)
[29] .Yang Li, Yu Liu, Weigang Cui, Yuzhu Guo, Hui Huang, and Zongyi Hu. "Epileptic Seizure Detection in EEG Signals Using a Unified Temporal-Spectral Squeeze-and-Excitation Network." IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 4, pp. 782-794, 2020. (SCI, 影响因子：5.2, JCR: Q1), [Code: https://github.com/YangLibuaa/CE-stSENet].[期刊]
[30] .Yang Li, Hao Yang, Baiying Lei, Jingyu Liu, Chong-Yaw Wee. "Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification." IEEE Transactions on Medical Imaging, vol. 38, no. 5, pp. 1227-1239, 2019. (SCI, 影响因子：9.8, JCR: Q1)

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