姓名: | 陈培垠 | 性别: | 女 | 出生年月: | 1994.11 | |
职称: | 讲师 | 毕业学校: | 天津大学 | |||
专业: | 控制科学与工程 | 学位: | ||||
联系电话: | 15827129826 | 电子邮件: | pychen@hhu.edu.cn | |||
研究方向: | 人工智能、机器学习、脑机接口 | |||||
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主要成果: | 一、代表性论文: [1]Chen P, Gao Z, Yin M, et al. Multiattention Adaptation Network for Motor Imagery Recognition[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 8, pp. 5127–5139, 2022. [2]Chen P, Wang H, Sun X, et al. Transfer Learning With Optimal Transportation and Frequency Mixup for EEG-Based Motor Imagery Recognition[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, 30: 2866-2875. [3]Jiang H#, Chen P#, Sun Z, et al. Assisting schizophrenia diagnosis using clinical electroencephalography and interpretable graph neural networks: a real-world and cross-site study [J]. Neuropsychopharmacology, DOI:10.1038/s41386-023-01658-5, 2023. [4]Wang H, Chen P, Zhang M, Zhang J, Sun X, Li M, Yang X, Gao Z. EEG-based Motor Imagery Recognition Framework via Multi-Subject Dynamic Transfer and Iterative Self-training [J]. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2023.3243339, 2023. 二、授权专利: [1]基于脑肌电信号深度学习融合的脑卒中运动康复方法,专利号:2020103647362 [2]一种纯意念控制康复机器人的训练与模式切换方法,专利号:2020103669234 [3]基于胶囊网络的新型脑控智能康复方法及应用,专利号:2020103647377 | |||||
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