脑机接口；

运动康复工程；

神经接口；

神经信号处理；

神经工程与功能康复等；

具体可参阅https://liyongcheng1.github.io/liych.github.io

生物医学工程：1-2名硕士研究生

电子信息工程：1-2名硕士研究生

计算机科学：1-2名硕士研究生

其他：对我研究领域感兴趣的1-2名博士或者硕士研究生

083100-生物医学工程
081104-模式识别与智能系统
081101-控制理论与控制工程

脑机接口，康复工程，神经工程，生物医学信号处理
人工智能，智能控制

2009-09--2016-01   中国科学院沈阳自动化所   博士
2005-09--2009-06   中国科学技术大学   学士

   

2021-04~现在, 中国科学院深圳先进技术研究院, 副研究员
2017-09~2020-10,加州大学尔湾分校（UCI）, 博士后
2016-04~2017-04,新加坡国立大学（NUS), 博士后研究员

   

[1] 高飞, 黄锐森, 尚文泽, 李永程, 吴新宇. 基于卷积神经网络和惩罚网络的运动伪影去除方法. CN: CN117750199A, 2024-03-22.
[2] 李永程, 李光林, 靖正翔, 崔晗. 一种动作训练方法及采用该方法的训练装置. CN: CN118211024A, 2024-06-18.

   

[1] Yongcheng Li. A Multi-Level Integrated EEG-Channel Selection Method Based on the Lateralization Index. IEEE Transactions on Neural Systems and Rehabilitation Engineering[J]. 2025, 第 1 作者  通讯作者  33(null): 
[2] Kulwa, Frank, Li, Yongcheng, Samuel, Oluwarotimi W, Zhang, Haipeng, Oyemakinde, Tolulope T, Asogbon, Mojisola G, Mcewan, Alistair A, Li, Guanglin. A robust feature adaptation approach against variation of muscle contraction forces for myoelectric pattern recognition-based gesture characterization. BIOMEDICAL SIGNAL PROCESSING AND CONTROL[J]. 2024, 第 2 作者  通讯作者  95: http://dx.doi.org/10.1016/j.bspc.2024.106446.
[3] Geng, Yanjuan, Liuni Qin, Yongcheng Li, Zhebin Yu, Linling Li, Mojisola Grace Asogbon, Yang Zhan, Nan Yan, Xin Guo, Guanglin Li. Identifying Oscillations under Multi-site Sensory Stimulation for High-level Peripheral Nerve Injured Patients:A Pilot Study. JOURNAL OF NEURAL ENGINEERING[J]. 2022, 第 3 作者19(3): 
[4] Yanjuan Geng, Zhebin Yu, Yucheng Long, Liuni Qin, Ziyin Chen, Yongcheng Li, Xin Guo, Guanglin Li. A CNN-Attention Network for Continuous Estimation of Finger Kinematics from Surface Electromyograms. IEEE ROBOTICS AND AUTOMATION LETTERS[J]. 2022, 第 6 作者
[5] Robert D Flint, Yongcheng Li, Po T Wang, Mukta Vaidya. Noninvasively recorded high-gamma signals improve synchrony of force feedback in a novel neurorehabilitation brain–machine interface for brain injury. JOURNAL OF NEURAL ENGINEERING[J]. 2022, 第 2 作者19（2022）(3): https://iopscience.iop.org/article/10.1088/1741-2552/ac7004?casa_token=aGFYMeMyoqwAAAAA:nE5HHEiIR4WWNv9m0-wBCFjpajjne2jsOTkZnAbCoSOh-7_JqUd5DS6yFUHHlHtR_UsMM0rRcmDD.
[6] Li, Yongcheng, Wang, Po T, Vaidya, Mukta P, Flint, Robert D, Liu, Charles Y, Slutzky, Marc W, Do, An H. Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE)-A Novel ICA-Based Algorithm for Removing Myoelectric Artifacts From EEG. FRONTIERS IN NEUROSCIENCE[J]. 2021, 第 1 作者  通讯作者  14: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873899/.
[7] Li, Yongcheng, Wang, Po T, Vaidya, Mukta P, Flint, Robert D, Liu, Charles Y, Slutzky, Marc W, Do, An H. Refinement of High-Gamma EEG Features From TBI Patients With Hemicraniectomy Using an ICA Informed by Simulated Myoelectric Artifacts. FRONTIERS IN NEUROSCIENCE[J]. 2020, 第 1 作者  通讯作者  14: https://doaj.org/article/8a93baf5169f498ab60bccb61b1eae3a.
[8] Vaidya, Mukta, Flint, Robert D, Wang, Po T, Barry, Alex, Li, Yongcheng, Ghassemi, Mohammad, Tomic, Goran, Yao, Jun, Carmona, Carolina, Mugler, Emily M, Gallick, Sarah, Driver, Sangeeta, Brkic, Nenad, Ripley, David, Liu, Charles, Kamper, Derek, Do, An H, Slutzky, Marc W. Hemicraniectomy in Traumatic Brain Injury: A Noninvasive Platform to Investigate High Gamma Activity for Brain Machine Interfaces. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING[J]. 2019, 第 5 作者27(7): 1467-1472, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577111/.
[9] Wang, Po T, Camacho, Everardo, Wang, Ming, Li, Yongcheng, Shaw, Susan J, Armacost, Michelle, Gong, Hui, Kramer, Daniel, Lee, Brian, Andersen, Richard A, Liu, Charles Y, Heydari, Payam, Nenadic, Zoran, Do, An H. A benchtop system to assess the feasibility of a fully independent and implantable brain-machine interface. JOURNALOFNEURALENGINEERING[J]. 2019, 第 4 作者16(6): 066043-066043, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7271898/.
[10] Li Yongcheng. A novel algorithm for removing artifacts from EEG data. EMBC. 2018, 第 1 作者
[11] Li, Yongcheng, Sun, Rong, Wang, Yuechao, Li, Hongyi, Zheng, Xiongfei. A Novel Robot System Integrating Biological and Mechanical Intelligence Based on Dissociated Neural Network-Controlled Closed-Loop Environment. PLOS ONE[J]. 2016, 第 1 作者11(11): https://doaj.org/article/66eef62f52fa4ac79eca8199655662dc.
[12] Yongcheng Li, Rong Sun, Bin Zhang, Yuechao Wang, Hongyi Li. Application of Hierarchical Dissociated Neural Network in Closed-Loop Hybrid System Integrating Biological and Mechanical Intelligence. PLOS ONE[J]. 2015, 第 1 作者10(5): http://www.irgrid.ac.cn/handle/1471x/971170.

   

（ 1 ） 重 2023N 脑机应用的体域网多模态信息融合关键技术研究, 负责人, 地方任务, 2024-01--2025-12
（ 2 ） 具有触觉反馈的闭环脑机接口系统在脑卒中上肢运动康复中的机制探索和应用研究, 负责人, 国家任务, 2022-07--2027-06
（ 3 ） 基于闭环脑机接口的脑卒中上肢运动障碍康复技术, 负责人, 研究所自主部署, 2022-03--2024-02

（1）A novel algorithm for removing artifacts from EEG data   2018-07-02

现指导学生

郁得志  硕士研究生  085400-电子信息