研究方向：

生物医学信息处理及应用

联系邮箱：yuanqi@sdnu.edu.cn

教育背景：

2014年毕业于山东大学信息科学与工程学院（硕博连读），获信号与信息处理博士学位，并荣获山东大学2014届优秀毕业生。

2020年国家留学基金资助赴澳大利亚悉尼大学做访问学者。

科研项目：

      1.国家自然科学基金青年科学基金项目

      2.山东省自然科学基金面上项目

      3.山东省自然科学基金培养基金项目

      4.中国博士后科学基金面上资助

      论文发表：

      1. Defu Zhai, Jie Wang, Han Xiao, Xianlei Zeng, Weiwei Nie*, Qi Yuan*.Lightweight Seizure Prediction Model based on Kernel-Enhanced Global Temporal Attention. International Journal of Neural Systems, 2026, 36 (3): 2550080. (SCI)

      2. Jie Wang, Yingchao Wang, Qilin Tang, Xianlei Zeng, Defu Zhai, Han Xiao, Weiwei Nie*, Qi Yuan*.Novel contrastive representation learning of epileptic electroencephalogram for seizure detection. Cognitive Neurodynamics, 2026, 20: 9. (SCI)

      3. Yasheng Liu, Yonghui Jiang, Jie Liu, Jie Li, Mingze Liu, Weiwei Nie*, Qi Yuan*. Efficient EEG feature learning model combining random convolutional kernel with wavelet scattering for seizure detection. International Journal of Neural Systems, 2024, 34 (11): 2450060. (SCI)

      4. Xin Ding, Weiwei Nie, Xinyu Liu, Xiuying Wang*, Qi Yuan*. Compact convolutional neural network with multi-headed attention mechanism for seizure prediction. International Journal of Neural Systems, 2023, 33 (3): 2350014. (SCI)

      5. Xinyu Liu, Xin Ding, Jianping Liu, Weiwei Nie*, Qi Yuan*. Automatic focal EEG identification based on deep reinforcement learning. Biomedical Signal Processing and Control, 2023, 83: 104693. (SCI)

      6. Jiazheng Zhou, Li Liu, Yan Leng, Yuying Yang, Bin Gao, Zonghong Jiang, Weiwei Nie*, Qi Yuan*. Both cross-patient and patient-specific seizure detection based on self-organizing fuzzy logic. International Journal of Neural Systems, 2022, 32(6): 2250017. (SCI)

      7. Bin Gao, Jiazheng Zhou, Yuying Yang, Jinxin Chi, Qi Yuan*. Generative adversarial network and convolutional neural network-based EEG imbalanced classification model for seizure detection. Biocybernetics and Biomedical Engineering, 2022, 42: 1-15. (SCI)

      8. 费洪磊, 袁琦*, 郑玉叶. 基于深度学习的癫痫脑电不平衡分类方法. 仪器仪表学报, 2021, 42(3): 231-240.

      9. Xinmei Hu, Shasha Yuan, Fangzhou Xu, Yan Leng, Kejiang Yuan*, Qi Yuan*. Scalp EEG classifcation using deep Bi-LSTM network for seizure detection. Computers in Biology and Medicine, 2020, 124: 103919. (SCI)

      10. 曲桂果, 袁琦*, 李彦. 基于深度网络迁移学习的致痫区脑电识别. 仪器仪表学报, 2020, 41(5): 164-173.

      11. Chengfa Sun, Hui Cui, Weidong Zhou, Weiwei Nie, Xiuying Wang*, Qi Yuan*. Epileptic seizure detection with EEG textural features and imbalanced classification based on EasyEnsemble learning. International Journal of Neural Systems, 2019, 29(10): 1950021. (SCI)

      12. Zuyi Yu, Weidong Zhou, Fan Zhang, Fangzhou Xu, Shasha Yuan, Yan Leng, Yang Li, Qi Yuan*. Automatic seizure detection based on kernel robust probabilistic collaborative representation. Medical & Biological Engineering & Computing, 2019, 57: 205-219. (SCI)

      13. Qi Yuan, Weidong Zhou, Fangzhou Xu, Yan Leng, Dongmei Wei. Epileptic EEG Identification via LBP Operators on Wavelet Coefficients. International Journal of Neural Systems, 2018, 28(8): 1850010. (SCI)

      14. Qi Yuan, Weidong Zhou, Liren Zhang, Fan Zhang, Fangzhou Xu, Yan Leng, Dongmei Wei, Meina Chen. Epileptic seizure detection based on imbalanced classification and wavelet packet transform. Seizure-European Journal of Epilepsy, 2017, 50: 99-108. (SCI)

      15. Qi Yuan, Dongmei Wei. A seizure prediction method based on efficient features and BLDA. IEEE International Conference on Digital Signal Processing, Singapore, 2015: 177-181. (EI)

      16. Qi Yuan, Weidong Zhou, Shasha Yuan, Xueli Li, Jiwen Wang, Guijuan Jia. Epileptic EEG classification based on kernel sparse representation. International Journal of Neural Systems, 2014, 24(4): 1450015. (SCI)

      社会服务：

      SCI英文期刊《Biomedical Signal Processing and Control》编委（Associate Editor）