代表性学术成果： 科研项目： 1.“基于脑电XXX”，中央军委装备发展部“慧眼行动”，2022-01至2023-12，主持。 2.“基于磁流变液力/触觉反馈的遥操作血管介入手术机器人系统稳定性和透明性研究”，国家自然基金青年项目，2022-01至2024-12，主持。 3.“认知脑电及经颅电刺激调控开放课题”，博睿康科技，2022-07至2024-07，主持。 4.“英才培养计划C”，天津理工大学，2023-04至2027-04，主持。
科研论文： 1.Zekun Tian, Dahua Li, Yi Yang, Fazheng Hou, Zhiyi Yang,Yu Song*, and Qiang Gao*. A Novel Domain Adversarial Networks based on 3D-LSTM and Local Domain Discriminator for Hearing-impaired Emotion Recognition, IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 1, pp. 363-373 ,2023.（一区） 2.Dahua Li, Jiayin Liu, Yi Yang, Fazheng Hou, Haotian Song,Yu Song*, Qiang Gao* and Zemin Mao, Emotion Recognition of Hearing-impaired Subjects Based on Fusion of Facial Expression and EEG Topographic Map, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 437-445, 2023.（二区） 3.Zhongli Bai, Junjie Liu, Fazheng Hou, Yirui Chen, Meiyi Cheng, Zemin Mao,Yu Song*, and Qiang Gao*, Emotion recognition with residual network driven by spatial-frequency characteristics of EEG recorded from hearing-impaired adults in response to video clips. Computers in Biology and Medicine, vol. 152, 2023.（二区） 4.Fazheng Hou, Junjie Liu, Zhongli Bai, Zhiyi Yang, Jiayin Liu, Qiang Gao,Yu Song*, EEG-Based Emotion Recognition for Hearing Impaired and Normal Individuals With Residual Feature Pyramids Network Based on Time–Frequency–Spatial Features, in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-11, 2023.（二区） 5.J. Wang,Y. Song*, Z. Mao, J. Liu and Q. Gao, "EEG-Based Emotion Identification Using 1-D Deep Residual Shrinkage Network With Microstate Features," in IEEE Sensors Journal, vol. 23, no. 5, pp. 5165-5174, 2023.（二区） 6.Y. Yang, Q. Gao,Y. Song*, X. Song, Z. Mao and J. Liu, "Investigating of Deaf Emotion Cognition Pattern By EEG and Facial Expression Combination," in IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 2, pp. 589-599, Feb. 2022.（一区） 7.Fazheng Hou, Qiang Gao,Yu Song*, Zhe Wang, Zhongli Bai, Yi Yang, and Zekun Tian, Deep Feature Pyramid Network for EEG Emotion Recognition, Measurement, vol. 201, p. 111724, Sep. 2022.（二区） 8.Dahua Li, Zhiyi Yang, Fazheng Hou, Qiaoju Kang, Shuang Liu,Yu Song*,Qiang Gao, Enzeng Dong, EEG-Based Emotion Recognition With Haptic Vibration by a Feature Fusion Method, IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-11, 2022.（二区） 9.Qiang Gao, Yi Yang, Qiaoju Kang, Zekun Tian,Yu Song*,EEG-based Emotion Recognition with Feature Fusion Networks, International Journal of Machine Learning and Cybernetics, vol. 13, pp. 421-429, 2022. 10.Kang Q, Gao Q,Song Y*, et al. Emotion Recognition From EEG Signals of Hearing-Impaired People Using Stacking Ensemble Learning Framework Based on a Novel Brain Network. in IEEE Sensors Journal, vol. 21, no. 20, pp. 23245-23255, 2021.（二区） 11.Yi Yang, Qiang Gao, Xioalin Song,Yu Song*,Ze Mao, Junjie Liu, Facial expression and EEG fusion for investigating continuous emotions of deaf subjects, IEEE Sensors Journal, vol. 21, no. 15, pp. 16894-16903, 2021.（二区） 12.Zekun Tian, Dahua Li,Yu Song*,Qiang Gao, Qiaoju Kang, Yi Yang, EEG-Based Emotion Recognition of Deaf Subjects by Integrated Genetic Firefly Algorithm, IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-11, 2021.（二区） 13.Q. Gao, C. H. Wang, Z. Wang, X. L. Song, andY. Song*, EEG based emotion recognition using fusion feature extraction method, Multimedia Tools & Applications, vol.79, no.37-38. 2020. 14.Shuxiang Guo,Yu Song*, Xuanchun Yin, Linshuai Zhang, Takashi Tamiya, Hideyuki Hirata, Hidenori Ishihara, A Novel Robot-Assisted Endovascular Catheterization System With Haptic Force Feedback, in IEEE Transactions on Robotics, vol. 35, no. 3, pp. 685-696, June 2019.（一区） 15.Yu Song, Shuxiang Guo, Xuanchun Yin, Linshuai Zhang, Hideyuki Hirata, Hidenori Ishihara, Takashi Tamiya, Performance evaluation of a robot-assisted catheter operating system with haptic feedback, Biomedical Microdevices, 20:50,2018. 授权专利： 1.“一种超声波激励电路”，ZL202111072289.4，第一发明人。 2.“一种基于脑电信号的情感识别方法及系统”，202210219722.0（已授权），第一发明人。 3.“一种带触觉反馈的血管介入手术机器人主端装置”，202210031378.2（已授权），第一发明人。
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