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[21] .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]
[22] .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)
[23] .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)
[24] .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]
[25] .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]
[26] .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)
[27] .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]
[28] .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)
[29] .Yang Li, Jingyu Liu, Xinqiang Gao, Biao Jie, Minjeong Kim, Pew-Thian Yap, Chong-Yaw Wee, Dinggang Shen. "Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification." Medical Image Analysis, vol. 52, pp. 80-96, 2019. (SCI, 影响因子：11.8, JCR: Q1)
[30] .Yang Li, Mengying Lei, Weigang Cui, Yuzhu Guo and Hualiang Wei. "A Parametric Time Frequency-Conditional Granger Causality Method Using Ultra-regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs." IEEE Transactions on Biomedical Engineering，vol. 66，no. 12, pp. 3509-3525, 2019. (SCI, 影响因子：4.5, JCR: Q1)

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