
1. 国家自然科学基金青年项目,基于EEG-fNIRS的儿童注意缺陷多动障碍神经血管耦合分析,2019-2021,主持 2. 天津市自然科学基金多元投入青年项目,基于脑电和功能近红外光谱成像多源特征融合的阿尔兹海默症智能识别研究,2021-2023,主持 3. 国家自然科学基金面上项目,基于视觉和脑电信息融合的孤独症评估和干预研究,2024-2027,参与 4. 国家自然科学基金面上项目,ADHD儿童执行功能障碍的fNIRS和ERP多模态研究,2023-2026,参与 5. 国家自然科学基金面上项目,静脉麻醉的神经-脑氧代谢机制模型仿真与闭环控制系统设计研究,2017-2020,参与 6. 天津市自然科学基金青年项目,功能化微结构光纤生物分子芯片技术与应用研究,2018-2021,参与 7. 中央在京高校重大成果转化项目,少年儿童脑发育与认知的功能成像系统,2014-2017,参与

1. Yue Gu, Shuo Miao, Yao Zhang, Jian Yang*, Xiaoli Li*, Compressibility Analysis of Functional Near-Infrared Spectroscopy Signals in Children With Attention-Deficit/Hyperactivity Disorder, IEEE Journal of Biomedical and Health Informatics, 2023, 27(11): 5449-5458
2. Yue Gu*, Qiang Yu, Wanli Xue*, Enhanced decoupling graph convolution network for skeleton-based action recognition, Multimedia Tools and Applications, 2023, 83(29): 73289-73304 3. Yue Gu, Shuo Miao, Jian Yang*, Xiaoli Li*, ADHD children identification with multi-view feature fusion of fNIRS signals, IEEE Sensors Journal, 2022, 22(13): 13536-13543 4. Yue Gu*, Liu Yang, He Chen, Wenzheng Liu, Zhenhu Liang, Improving Attention through Individualized fNIRS Neurofeedback Training: A Pilot Study, Brain Sciences, 2022, 12(7): 862 5. Yue Gu, Xue Li, Shengyong Chen*, Xiaoli Li*, Effect of rhythmic and non-rhythmic brain activity on power spectral analysis in children with attention deficit hyperactivity disorder, IEEE Transactions on Cognitive and Developmental Systems, 2022, 14(3): 1046-1053 6. Yue Gu, Xue Li, Shengyong Chen*, Xiaoli Li*, AOAR: an automatic ocular artifact removal approach for multi-channel electroencephalogram data based on non-negative matrix factorization and empirical mode decomposition, Journal of Neural Engineering, 2021, 18(5): 056012 7. Yue Gu*, Zhenhu Liang, Satoshi Hagihira, Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia, Sensors, 2019, 19 (11): 2499 8. Yue Gu, Shuo Miao, Junxia Han, Zhenhu Liang, Gaoxiang Ouyang, Jian Yang*, Xiaoli Li*, Identifying ADHD children using hemodynamic responses during a working memory task measured by functional near-infrared spectroscopy. Journal of Neural Engineering, 2018, 15(3): 035005 9. Yue Gu, Shuo Miao, Junxia Han, Zeng Ke, Gaoxiang Ouyang, Jian Yang*, Xiaoli Li*, Complexity analysis of fNIRS signals in ADHD children during working memory task, Scientific Reports, 2017, 7(1): 829 10. Yue Gu, Junxia Han, Zhenhu Liang, Jiaqing Yan, Zheng Li, Xiaoli Li*, Empirical mode decomposition-based motion artifact correction method for functional near-infrared spectroscopy, Journal of Biomedical Optics, 2016, 21(1): 015002 
天津市高校“青年后备人才支持计划”人选
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