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] Peiliang Gong, Yueying Zhou, Shuo Huang, Pengpai Wang, and Daoqiang Zhang. TAHAG: Two-stage Domain Adaptation with Hybrid Adaptive Graph Learning for EEG Emotion Recognition. IEEE Transactions on Affective Computing, 2025.

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

[8] 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.

[9] 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.

[10] 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.

1. 国家自然科学基金，青年基金，基于跨被试功能校准的视觉刺激语义解码与图像重建方法研究，2026.01-2028.12，主持;

2. 江苏省自然科学基金，青年项目，基于深度多视图学习的跨被试视觉刺激解码方法研究，2025.09-2028.08，主持;

人工智能专业导论、现代人工智能（本科生）

机器学习前沿理论与高级应用（研究生）