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Yifan Wang, Weigang Cui, Tao Yu, Xiaoli Li, Xiaofeng Liao and Yang Li*, "Dynamic Multi-Graph Convolution based Channel-Weighted Transformer Feature Fusion Network for Epileptic Seizure Prediction", IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2023 (Acceppted). (SCI, 影响因子：4.9, JCR: Q1)
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 Transactions on Computational Social Systems, 2023, doi: 10.1109/TCSS.2023.3291950 (Early Access) (SCI, 影响因子：5, JCR: Q1)
Xiaoheng Zhang and Yang Li*, "A Cross-Modality Context Fusion and Semantic Refinement Network for Emotion Recognition in Conversation", The 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023, (CCF-A), Accepted.
Jie Luo, Weigang Cui, Xiao Li, Xiaofeng Liao, Yang Li*,"A Dual-Branch Spatio-Temporal-Spectral Transformer Feature Fusion Network for EEG-based Visual Recognition", IEEE Transactions on Industrial Informatics, 2023, Accepted.(SCI, 影响因子：12.3, JCR: Q1)
Minyi Sun, Weigang Cui, Yue Zhang, Shuyue Yu, Xiaofeng Liao, Bin Hu, and Yang Li*. "Attention-Rectified and Texture-Enhanced Cross-Attention Transformer Feature Fusion Network for Facial Expression Recognition", IEEE Transactions on Industrial Informatics, 2023. DOI: 10.1109/TII.2023.3253188 (SCI, 影响因子：12.3, JCR: Q1)
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：11.2, JCR: Q1) [Code: https://github.com/smy17/DANet]
Yang Li, Yue Zhang*, Jingyu Liu, Kang Wang, Gensheng Zhang*, Kai Zhang, Xiaofeng Liao, Guang Yang. "Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation", IEEE Transactions on Cybernetics, vol. 53, no. 9, pp. 5826-5839, 2023. (SCI, 影响因子：11.8, JCR: Q1) [Code: https://github.com/YangLibuaa/GT-DLA-dsHFF]
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：10.6, JCR: Q1), [Code: https://github.com/YangLibuaa/gkf-vat-cwGAT]
Yang Li, Yu Liu, Yuzhu Guo, Xiaofeng Liao, Bin Hu and Tao Yu, "Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network with Semi-Supervised Active Learning for Patient-Specific Seizure Prediction":IEEE Transactions on Cybernetics, vol. 52, no.11, pp. 12189-12204, 2022. (SCI, 影响因子：11.8, JCR: Q1) [Code: https://github.com/YangLibuaa/STS-HGCN-AL]
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：10.6, JCR: Q1), [Code: https://github.com/YangLibuaa/DE-DCGCN-EE].[期刊]
Weigang Cui（PhD）, 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：11.2, JCR: Q1)
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：10.6, JCR: Q1)
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：10.6, JCR: Q1), [Code: https://github.com/l675451097/Adaptive-Dynamic-Functional-Connectivity]
Yang Li, Wei-Gang Cui, Yu-Zhu Guo, Tingwen Huang, Xiao-Feng Yang and Hua-Liang Wei. “Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG.”IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 7, pp. 2960-2972, 2018. (SCI, 影响因子：10.4, JCR: Q1)
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：10.9, JCR: Q1)
Jie Luo, Weigang Cui, Jingyu Liu, Yang Li*, Yuzhu Guo, Song Xu, and Lina Wang, "Visual Image Decoding of Brain Activities using a Dual Attention Hierarchical Latent Generative Network with Multiscale Feature Fusion", IEEE Transactions on Cognitive and Developmental Systems, vol. 15, no. 2, pp. 761-773, 2023 (SCI, 影响因子：5), [Code: https://github.com/ljbuaa/HLDAGN].[期刊]
Yang Li, Xian-Rui Zhang, Bin Zhang, Meng-Ying Lei, Wei-Gang Cui, and Yu-Zhu Guo. "A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding." IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, no. 6, pp. 1170-1180, 2019. (SCI, 影响因子：4.9, JCR: Q1)
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：5.6, JCR: Q1)
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：4.6, JCR: Q1)
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：4.9, JCR: Q1)
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：4.9, JCR: Q1), [Code: https://github.com/YangLibuaa/CE-stSENet].[期刊]
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：4.9, JCR: Q1), [Code: https://github.com/LianghuiGuo/TS-SEFFNet]
Yang Li, Hua-Liang Wei and Stephen A. Billings. "Identification of time-varying systems using multi- wavelet basis functions." IEEE Transactions on Control Systems Technology, vol. 19, pp. 656-663, 2011. (SCI, 影响因子：4.8, JCR: Q1)
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