1.京津冀协同创新专项，基于经皮交变电场刺激的便携式抗肿瘤设备研发，2025.10-2028-01，天津地区负责人 2.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，2019.01-2021.12，主持 3. 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，2021.10-2023.09，主持 4. 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，2024.01-2027.12，参与 5. 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，2023.01-2026.12，参与 6. 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，2017.01-2020.12，参与 7. 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 8. 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 
发表论文： [1]Yue Gu, Pengcheng Luo, Rui Su, Xiaoli Li*. LARSNet: A Lightweight Asymmetric Residual Siamese Network for SSVEP-Based Brain–Computer Interfaces. IEEE Transactions on Instrumentation and Measurement, 2026, 75: 1-14. [2] 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. [3] 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. [4] Yue Gu, Shuo Miao, Jian Yang* and Xiaoli Li*, ADHD Children Identification With Multiview Feature Fusion of fNIRS Signals, IEEE Sensors Journal, 2022, 22(13): 13536-13543. [5] Yue Gu, Liu Yang, Wenzheng Liu, Xiaoli Li*, Improving Attention through Individualized fNIRS Neurofeedback Training: A Pilot Study, Brain Sciences, 2022; 12(7):862. [6] Yue Gu, Xue Li, Shengyong Chen*, Xiaoli Li*, AOAR: An automatic ocular artifacts removal approach for multi-channel EEG data based on NMF and EMD. Journal of Neural Engineering, 2021, 18(5): 056012. [7] 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. [8] 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. [9] 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): 15002. [10] 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. [11] 刘文正, 张昊, 杨柳, 古悦*, 基于脑电图与功能近红外成像的工作记忆神经血管耦合分析. 生物医学工程学杂志, 2022, 39(2): 228-236. [12] Jing Wang#, Yue Gu#, Wentian Dong, et al, Lower Small-Worldness of Intrinsic Brain Networks Facilitates the Cognitive Protection of Intellectual Engagement in Elderly People Without Dementia: A Near-Infrared Spectroscopy Study, American Journal of Geriatric Psychiatry, 2020, 28(7): 722-731. 发明专利： [1] 基于双重残差网络的跨模态认知负荷评估方法，ZL202310745231.4，已授权 [2] 眼电伪影去除方法、装置及电子设备，ZL202110178617.2，已授权 [3] 一种多通道神经元信号采集调控与传输装置，ZL201310507608.9，已授权 [4] 脑功能成像信号获得方法、装置及电子设备，ZL202110178613.4，已公开 [5] 脑节律信息检测方法、装置及电子设备，ZL202110176124.5，已公开 
天津市高校“青年后备人才支持计划”人选
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