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[11] .Lianghui Guo, Tao Yu, Shijie Zhao, Xiaoli Li, Xiaofeng Liao and Yang Li*, "CLEP: Contrastive Learning for Epileptic Seizure Prediction Using a Spatio-Temporal-Spectral Network", IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 31, pp. 3915 - 3926, 2023. (SCI, 影响因子：5.2, JCR: Q1) [Code: https://github.com/LianghuiGuo/CLEP-STS-Net]
[12] .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, vol. 31, pp. 4266 - 4277, 2023. (SCI, 影响因子：5.2, JCR: Q1) [Code: https://github.com/Rockingsnow/MB-dMGC-CWTFFNet]
[13] .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).
[14] .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：4.9), [Code: https://github.com/ljbuaa/HLDAGN].[期刊]
[15] .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：10.5, JCR: Q1) [Code: https://github.com/YangLibuaa/STS-HGCN-AL]
[16] .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]
[17] .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]
[18] .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]
[19] .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)
[20] .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)

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