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：8 || 毕业硕士：4

所属院系、学科及研究方向

所属学院：伟德bv国际体育

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：智能检测与信息处理

研究方向2：计算机视觉

研究方向3：多模态大模型

参加学术团体

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

中国仪器仪表学会机械量测试仪器分会理事

中国生物医学工程学会、中国自动化学会会员

IEEE Transactions on Cybernetics、Neural Network、Measurement、Neurocomputing等SCI期刊审稿人

工作简历

2019.01~至今 伟德bv国际体育 副教授

2018.06~2018.12 伟德bv国际体育 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.人员多级作业状态工效评估系统程序开发，横向课题，主持，2023.05～2025.12

2.应用于无人机平台的航拍影像地物目标实时智能解译关键技术研究，山东省科技厅，主持，2023.01～2024.12

3.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，2023.01～2025.12

4.基于深度学习的切缘术区舌鳞癌拉曼光谱检测方法研究，BV伟德国际官方网站勤信英才项目，主持，2021.01～2023.12

5.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

6.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

7.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

8.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

1. Mingxin Yu, Hao Dong, Rui You, Shengjun Liang, Qihao Zhang, Yiyuan Ge, Mingwei Lin, Zeshui Xu. YOLO-MousePose: A Novel Framework and Dataset for Mouse Pose Estimation from a Top-Down View. IEEE Transactions on Instrument and Measurement, Accepted. 2025.

2. Yichen Sun (博士研究生), Mingli Dong, Mingxin Yu, Lianqing Zhu. HAIAFusion: A Hybrid Attention Illumination-Aware Framework for Infrared and Visible Image Fusion. IEEE Transactions on Instrument and Measurement, 74:1-19, 2025.

3. Zhengyang Liang (硕士研究生), Mingxin Yu*, Yichen Sun, Mingli Dong. SPFusion: A multi-task semantic perception infrared and visible light fusion method with quality assessment. Displays, 87: 102903, 2025

4. Mingxin Yu, Lianyu Li, Rui You, Xinsong Ma, Chengjie Zheng, Lianqing Zhu, Tao Zhang. A general framework for qualitative analysis of Raman spectroscopy based on deep learning. Microchemical Journal, 199, 109990, 2024.

5. Mingxin Yu, Ji Zhang, Lianqing Zhu, Shengjun Liang, Wenshuai Lu, Xinglong Ji. An Intelligent System for Outfall Detection in UAV Images Using Lightweight Convolutional Vision Transformer Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17: 6265-6277, 2024.

6. Yiyuan Ge (硕士研究生), Zhihao Chen, Mingxin Yu*, Qing Yue, Rui You, Lianqing Zhu. MambaTSR: You only need 90k parameters for traffic sign recognition. Neurocomputing, 599: 128104, 2024.

7. Jingya Ding (博士研究生), Lianqing Zhu, Mingxin Yu*, et al. PMONN: an optical neural network for photonic integrated circuits based on micro-resonator. Optical Express, 32(5): 7832-7847, 2024.

8. Mingxin Yu, Xuefan Miao, Yichen Sun, Yuchen Bai, Lianqing Zhu. AFIRE: Adaptive FusionNet for illumination-robust feature extraction in heterogeneous imaging environments. Infrared Physics & Technology, 142:11120, 2024.

9. Yiyuan Ge (硕士研究生), Mingxin Yu*, Zhihao Chen, Wenshuai Lu, Yuxiang Dai, Huiyu Shi. Attention-Enhanced Controllable Disentanglement for Cloth-Changing Person Re-identification. The Visual Computer, 2024.

10. Yiyuan Ge (硕士研究生), Mingxin Yu*, Zhihao Chen, Wenshuai Lu, Huiyu Shi. Semantically enhanced attention map-driven occluded person re-identification. IET Electronics Letters, 60(9):e13217, 2024.

11. 葛怡源 (硕士研究生), 于明鑫*. 基于知识蒸馏的道路交通标志识别神经网络. 计算机工程与应用, 60(9):110-119, 2024.

12. Lianyu Li (硕士研究生), Mingxin Yu*, Xing Li, Xinsong Ma, Lianqing Zhu, Tao Zhang. A Deep learning method for multi-task intelligent detection of oral cancer based on optical fiber Raman spectroscopy. Analytical Methods, 11(6):1659-1673, 2024.

13. Zhenyang Liang (硕士研究生), Mingxin Yu*, Yichen Sun, Mingli Dong. PEFusion: An infrared and visible light fusion method for enhanced representation of prominent targets and exposure errors. Infrared Physics & Technology, 141:105496, 2024.

14. 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.

15. 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.

16. 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.

17. 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.

18. 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.

19. 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.

20. 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.