个人基本信息
李珊珊,女，博士，讲师, 硕士生导师. 邮箱：lishan.6@163.com
研究方向
神经控制工程、脑机接口、人工智能
承担科研项目
1. 主持，国家自然科学基金青年项目（2022.01-2024.12）
2. 主持，天津市教委科研项目（2021.01-2023.12）
3. 主持，天津职业技术师范大学科研启动项目（2023.01-2025.12）
4. 参与，国家自然科学基金面上项目（2018.01-2021.12）
5. 主持，2020年产学合作协同育人项目（2021-2022）
发表论文
[1] Weitong Liu, Bin Deng, Siyuan Chang, Fei Su, Shanshan Li, Jiang Wang, Chen Liu. In-silico, adaptive closed-loop electrophysiology platform for real-time neuromodulation. Biomedical Signal Processing and Control. 2026,112:108593.
[2] Qing Qin, Ziwei Lin, Guangyuan Gao, Chunxiao Han, Ruofan Wang, Yingmei Qin, Shanshan Li, Yanqiu Che. MBE-UNet: Multi-branch Boundary Enhanced U-Net for Ultrasound Segmentation. IEEE Journal of Biomedical and Health Informatics. 2025.
[3]Guosheng Yi, Jingjing Song, Wenpu Zhang, Jiang Wang, Shanshan Li*, Lihui Cai.CNN with double-side weighted visibility graph for automated classification of high-frequency oscillations in epilepsy. Biomedical Signal Processing and Control. 2025,11,108178.
[4] Qing Qin, Kaiyue Zhang, Yanqiu Che, Chunxiao Han, Yingmei Qin, Shanshan Li*. Charactering Neural Spiking Activity Evoked by Acupuncture Through Coupling Generalized Linear Model. Entropy. 2024,26(12):1088.
[5] Shan Liu, Jiang Wang, Shanshan Li, Lihui Cai. Multi-dimensional hybrid bilinear CNN-LSTM models for epileptic seizure detection and prediction using EEG signals. Journal of neural engineering. 2024, 10.1088/1741-2552/ada0e5.
[6] Tong Li, Jiang Wang, Chen Liu, Shanshan Li, Kuanchuan Wang, Siyuan Chang. Adaptive fuzzy iterative learning control based neurostimulation system and in-silico evaluation. Cognitive neurodynamics.2024, 18,4: 1767-1778.
[7] Tong Li, Jiang Wang, Shanshan Li, Kai Li. Probing latent brain dynamics in Alzheimer’s disease via recurrent neural network. Cognitive Neurodynamics.2024.
[8] Shan Liu, Jiang Wang, Shanshan Li, Lihui Cai. Epileptic Seizure Detection and Prediction in EEGs Using Power Spectra Density Parameterization. IEEE transactions on neural systems and rehabilitation engineering: a publication of the IEEE Engineering in Medicine and Biology Society. 2023,31:3884-3894.
[9] Ming Yang, Jiang Wang, Shanshan Li, Kuanchuan Wang, Wei Yue, Chen Liu. Adaptive closed-loop paradigm of electrophysiology for neuron models. Neural networks: the official journal of the International Neural Network Society.2023,165: 406-419.
[10] Fei Su,Min Chen, Linlu Zu, Shanshan Li, Huiyan Li. Model-Based Closed-Loop Suppression of Parkinsonian Beta Band Oscillations Through Origin Analysis. IEEE transactions on neural systems and rehabilitation engineering: a publication of the IEEE Engineering in Medicine and Biology Society. 2021, 29, 450–457.
[11] Shanshan Li, Guoshan Zhang, Jiang Wang, Guosheng Yi. Effects of extracellular electric fields on electrical activities of two-compartment autaptic-neurons. Physica A: Statistical Mechanics and its Applications. 2019, 534,15:122331.
[12] Shanshan Li, Guoshan Zhang, Jiang Wang, Bin Deng. Emergent central pattern generator behavior in chemical coupled two-compartment models with time delay. Physica A: Statistical Mechanics and its Applications. 2018,491:177-187.
[13] Shanshan Li, Guoshan Zhang, Jiang Wang, Bin Deng. Firing regularity control of single neuron based on closed-loop ISI clamp. Neurocomputing. 2018,275:568-576.
[14] Yaru Song, Yingmei Qin, Shanshan Li. Motor imagery EEG signals classification based on attention mechanism and EEGNet. Proceedings of SPIE - The International Society for Optical Engineering. 2024.
[15] Yulang He, Zhibiao Zhao, Shanshan Li, Zhen Li. WiFi human gesture recognition based on SSC-SGRU. Proceedings of SPIE - The International Society for Optical Engineering, 2024.
[16] Yuhang Zhang, Yanqiu Che, Shanshan Li, Ruofan Wang. M-segclip: Enhancing SegCLIP with RM-MLP for Open-Vocabulary Semantic Segmentation. 2024 2nd International Conference on Algorithm, Image Processing and Machine Vision, AIPMV 2024.
[17] Xiaomin Tang, Shanshan Li, Lerong Ma, Qing Qin. EEG Classification of Epilepsy Based on Machine Learning. Proceedings of 2024 IEEE 25th China Conference on System Simulation Technology and its Application, CCSSTA 2024.
[18] Yulang He, Zhibiao Zhao, Shanshan Li, Zhen Li. Research on Wi-Fi gesture recognition system based on DSC-SGRU model. Journal of Electronic Measurement and Instrumentation. 2024.
[19] Peng Yuan, Bian Yan, Yanli Liu, Shanshan Li, Chunxiao Han. Multifeature attention detection algorithm based on power spectral density and differential entropy. Proceedings of SPIE - The International Society for Optical Engineering. 2024.
[20] Lerong Ma, Shanshan Li, Xiaomin Tang. An Adaptive Fuzzy Closed-loop Control of Neural Activity Based on Neural Mass Model. Proceedings - 2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2023.
[21] Shenfei Ji, Yanqiu Che, Jingyu Yang, Shanshan Li, Ruofan Wang. Suppression of Beta Oscillations in a Parkinson's Disease Model by Dynamic Delayed Feedback Control. Chinese Control Conference. 2023:6818-6822.
[22] Hui Ren, Chunxiao Han, Shanshan Li, Yanqiu Che, Ruofan Wang. Suppression of Epileptiform Activity in a Wilson-Cowan Network Model by Distributed Linear Delayed Feedback Control. 2023 4th International Conference on Computer Engineering and Intelligent Control, ICCEIC 2023.
指导学生竞赛
1. 天津市“新工科”工程实践创新技术竞赛，2024，天津市
2. 第八届中国国际“互联网+”大学生创新创业大赛，省部级三等奖
3. 第十四届蓝桥杯全国软件和信息技术专业人才大赛天津赛区，三等奖
4. 第十五届蓝桥杯全国软件和信息技术专业人才大赛天津赛区，二等奖
5. 国家级大学生创新创业训练计划，2025
