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模式识别、神经计算与认知解码 , Liang Sun, Muhammad Yousefnezhad, Meiling Wang, and Daoqiang Zhang. Functional Alignment-Auxiliary Generative Adversarial Network-based Visual Stimuli Reconstruction via Multi-subject fMRI. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023, 31: 2715-2725. , Liang Sun, Muhammad Yousefnezhad, Meiling Wang, and Daoqiang Zhang. Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction from Human Brain Activities. IEEE Transactions on Cognitive and Developmental Systems, 2021, 14(3): 1104-1118. , Wei Shao, Meiling Wang, and Daoqiang Zhang. FMRI-based Decoding of Visual Information from Human Brain Activity: A Brief Review. International Journal of Automation and Computing, 2021, 18(2): 170-184. ，孙亮，汪美玲，张道强 基于多视图自编码器的多被试者脑影像功能校准 2024, 51(3): 141-146 , Liang Sun, Muhammad Yousefnezhad, Meiling Wang, and Daoqiang Zhang. Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks. Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V. Cham: Springer International Publishing, 2020: 156-163. [6] Kai Ma, , Peng Wan, and Daoqiang Zhang. Optimal Transport-based Pyramid Graph Kernel for Autism Spectrum Disorder Diagnosis. Pattern Recognition, 2023: 109716. [7] Kai Ma, , and Daoqiang Zhang. Diagnosis of Mild Cognitive Impairment with Ordinal Pattern Kernel. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30: 1030-1040. [8] Yueying Zhou, , Ziming Xu, Pengpai Wang, Xia Wu, and Daoqiang Zhang. Cognitive Workload Recognition Using EEG Signals and Machine Learning: A Review. IEEE Transactions on Cognitive and Developmental Systems, 2022, 14(3): 799-818. [9] Meiling Wang, Wei Shao, , and Daoqiang Zhang. Hypergraph-regularized Multimodal Learning by Graph Diffusion for Imaging Genetics-based Alzheimer's Disease Diagnosis. Medical Image Analysis, 2023: 102883. [10] Pengpai Wang, Yueying Zhou, Zhongnian Li, , and Daoqiang Zhang. Neural Decoding of Chinese Sign Language with Machine Learning for Brain–Computer Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29: 2721-2732. 现代人工智能（本科生） 、机器学习导论（研究生）