南京林业大学信息科学技术学院、人工智能学院讲师。2023年9月博士毕业于南京航空航天大学计算机科学与技术学院/人工智能学院。主要研究方向为模式识别、神经计算与认知解码。

[1] Shuo Huang, 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.

[2] Shuo Huang, 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.

[3] Shuo Huang, 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.

[4] 黄硕，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. 计算机科学, 2024, 51(3): 141-146.

[5] Shuo Huang, 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, Shuo Huang, Peng Wan, and Daoqiang Zhang. Optimal Transport-based Pyramid Graph Kernel for Autism Spectrum Disorder Diagnosis. Pattern Recognition, 2023: 109716.

[7] Kai Ma, Shuo Huang, 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, Shuo Huang, 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, Shuo Huang, 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, Shuo Huang, 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）