基本信息

性别：男                          ||  出生年月：1983.08                         ||  政治面貌：中共党员

现任职称：副教授

最后学历：博士研究生     ||  最后学位：博士                             ||  获学位单位：北京理工大学

是否留学：是                    ||  留学国别：美国                             ||  留学时间：2013.11-2014.11   2015.10-2016.06  

联系方式：                       ||  邮箱：yumingxin@bistu.edu.cn    ||  通讯地址：北京市海淀区清河小营东路12号 

导师信息

硕导/博导：硕导                ||  批硕/博导时间：2020.01

在读硕士：6                       || 毕业硕士：0

所属院系、学科及研究方向

所属学院：博盈彩票

所属系：智能感知工程系

所属学科：仪器科学与技术

研究方向1：机器学习（深度学习）理论与应用

研究方向2：智能微系统

研究方向3：计算机视觉 

参加学术团体 

Intelligent Data Analysis期刊编委、副主编（计算机协会CCF推荐期刊）

中国仪器仪表学会机械量测试仪器分会

中国生物医学工程学会

IEEE Transactions on Cybernetics、Neurocomputing、Intelligent Data Analysis、Measurement and Control等SCI期刊审稿人

工作简历 

2019.01~至今 博盈彩票 博盈彩票 副教授

2018.06~2018.12 博盈彩票 博盈彩票 讲师

2015.10~2018.05 北京理工大学 博士后

2015.10~2016.06 美国东北大学 Visiting Research Scientist

2013.11~2014.11 美国东北大学 访问学者 

承担教学任务 

本科课程：《机器学习》、《深度学习》

研究生课程：《智能感知理论与应用》、《智能检测技术与系统》 

承担科研项目情况 

1.星座构型维持控制结果验证及星座态势展示仿真技术研究，横向课题，主持，2023.01～2024.05

2.基于深度学习的切缘术区舌鳞癌拉曼光谱检测方法研究，博盈彩票勤信英才项目，主持，2021.01～2023.12

3.应用于纳型无人机平台的行人检测与重识别模型优化与验证，横向课题，主持，2022.03～2022.10

4.应用于口腔癌诊断的智能拉曼光谱分析系统，生物医学检测技术及仪器北京重点实验室基金，主持，2021.06～2022.12

5.基于光纤拉曼和深度学习的口腔肿瘤识别方法研究，北京市教育委员会科技计划一般项目，主持，2020.01～2022.12 

6.光纤拉曼引导下口腔肿瘤边界术区实时感知的可行性研究，北京市自然科学基金——海淀区原始创新联合基金，参加（排名第二），2018.12～2021.12 

主要论文目录 

Ø  代表性论文：

1. Mingxin Yu, Jingya Ding, Wanquan Liu, Jiabin Xia, Shengjun Liang, Rixing Jing, Lianqing Zhu, Tao Zhang. Deep multi-feature fusion residual network for oral squamous cell carcinoma classification and its intelligent system using Raman spectroscopy. Biomedical Signal Processing and Control, 86(Part C): 105339, 2023.

2. Mingxin Yu, Hao Yan, Jing Han, Yingzi Lin, Lianqing Zhu, Xiaoying Tang, Guangkai Sun, Yanlin He, and Yikang Guo. EEG-based Tonic Cold Pain Assessment Using Extreme Learning Machine. Intelligent Data Analysis, 24(1): 163-182, 2020.

3. Mingxin Yu, Yichen Sun, Bofei Zhu, Lianqing Zhu, Yingzi Lin, Xiaoying Tang, Yikang Guo, Guangkai Sun, and Mingli Dong. Diverse Frequency Band-Based Convolutional Neural Networks for Tonic Cold Pain Assessment Using EEG. Neurocomputing, 37: 270-282, 2020. (Top)

4. Mingxin Yu, Hao Yan, Jiabin Xia, Lianqing Zhu, Tao Zhang, Zhihui Zhu, Xiaoping Lou, Guangkai Sun, and Mingli Dong. Deep Convolutional Neural Networks for Tongue Squamous Cell Carcinoma Classification Using Raman Spectroscopy. Photodiagnosis and Photodynamic Therapy, 26: 430-435, 2019.

5. Mingxin Yu, Xiaoying Tang, Yingzi Lin, David Schmidt, and Xiangzhou Wang. An Eye Detection Method Based on Convolutional Neural Networks and Support Vector Machines. Intelligent Data Analysis, 22(2): 345-362, 2018.

6. Mingxin Yu, Xiaoying Tang, Yingzi Lin, and Xiangzhou Wang. Diesel engine modeling based on recurrent neural networks for a hardware-in-the-loop simulation of diesel generator sets. Neurocomputing, 283: 9-19, 2018. (Top)

指导研究生发表的SCI论文：

1.Yichen Sun (博士研究生), Mingli Dong, Mingxin Yu*, et al. A method to improve the computational performance of nonlinear all-optical diffractive deep neural network model. International Journal of Opomechatronics, 17(1): 2209624, 2023.

2. Yichen Sun (博士研究生), Mingxin Yu*, Luyang Wang, et al. A Deep Learning-Based GPS Signal Spoofing Detection Method for small UAVs. Drones, 7(6): 370, 2023.

3. Linlin Shan (硕士研究生), Mingxin Yu*, Jiabin Xia, et al. Overlapped spectral demodulation of fiber Bragg grating using convolutional time-domain audio separation network. Optical Engineering, 62(6): 066104, 2023.

4. Chaofan Deng (硕士研究生), Mingxin Yu*, et al. A deep learning algorithm ADPNet for strain and temperature decoupling of fiber bragg gratings. Optical Fiber Technology, 79: 103356, 2023.

5. Peiyao Wang (硕士研究生), Mingxin Yu*, et al. A deep learning-based method for calculating aircraft wing loads. Measurement and Control, 56(7-8): 1129-1141, 2023.

6. Xiaohan Chang (硕士研究生), Mingxin Yu*, et al. Deep Learning Methods for Oral Cancer Detection Using Raman Spectroscopy. Vibrational Spectroscopy, 126: 103522, 2023.

7. Yichen Sun (硕士研究生), Mingli Dong, Mingxin Yu*, et al. Modeling and simulation of all-optical diffractive neural network based on nonlinear optical materials. Optics Letters, 47(1): 126-129, 2022.

8. Yuchen Bai (硕士研究生), Mingxin Yu*, et al. Quantized photonic neural network modeling method based on microring modulators. Optical Engineering, 61(6): 061409, 2022.

9. Yichen Sun (硕士研究生), Mingli Dong, Mingxin Yu*, et al. Non-linear All-optical Diffractive Deep Neural Network with 10.6μm Wavelength for Image Classification. International Journal of Optics, 2021: 6667495. (SCI)

10. Jiabin Xia (博士研究生), Lianqing Zhu, Mingxin Yu, et al. Analysis and Classification of Oral Tongue Squamous Cell Carcinoma Based on Raman Spectroscopy and Convolutional Neural Networks. Journal of Modern Optics, 67(6): 481-489, 2020.

11. Hao Yan (硕士研究生), Mingxin Yu, et al. Diverse Region-Based CNN for Tongue Squamous Cell Carcinoma Classification with Raman Spectroscopy. IEEE Access, 8: 127313-127328, 2020.

12. Jingya Ding (硕士研究生), Mingxin Yu, et al. Diverse spectral band-based deep residual network for tongue squamous cell carcinoma classification using fiber optic Raman spectroscopy. Photodiagnosis and Photodynamic Therapy, 32: 102048, 2020.

13. Hao Yan (硕士研究生), Mingxin Yu, et al. Tongue Squamous Cell Carcinoma Discrimination with Raman Spectroscopy and Convolutional Neural Networks. Vibrational Spectroscopy, 103: 102938, 2019.