于

于明鑫 (Mingxin Yu)

Beijing Information Science and Technology University副教授

H指数:16

被引数:752

个人简介

"性别：男 || 出生年月：1983.08 || 政治面貌：中共党员\n现任职称：副教授\n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\n是否留学：是 || 留学国别：美国 || 留学时间：2013.11-2014.11 2015.10-2016.06\n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\n导师信息\n硕导/博导：硕导 || 批硕/博导时间：2020.01\n在读硕士：16 || 毕业硕士：23\n所属院系、学科及研究方向\n所属学院：仪器科学与光电工程学院\n所属系：智能感知工程系\n所属学科：仪器科学与技术\n研究方向1：智能检测与信息处理\n研究方向2：智能人机交互\n研究方向3：多模态大模型\n参加学术团体\nIntelligent Data Analysis期刊编委、副主编（计算机协会CCF推荐SCI期刊）\n中国仪器仪表学会机械量测试仪器分会理事、中国计算机学会/中国人工智能学会/中国自动化学会/中国图像图形学会/电子电器工程师学会(IEEE)会员\nIEEE TPAMI/TCYB/TMM/TGRS/TBME/TCE/TVLSIS/TPES/Internet of Things Journal/JSTAR/Robotics Letters/SPL/STSP/Sensors Letters、IET Computer Vision、Neural Network、EAAI、Neurocomputing、Measurement、Optics and Laser Technology、INFPHY等SCI期刊审稿人\n工作简历\n2019.01~至今北京信息科技大学仪器科学与光电工程学院副教授\n2018.06~2018.12 北京信息科技大学仪器科学与光电工程学院讲师\n2015.10~2018.05 北京理工大学博士后\n2015.10~2016.06 美国东北大学 Visiting Research Scientist\n2013.11~2014.11 美国东北大学访问学者\n承担教学任务\n本科课程：《机器学习》、《深度学习》、《嵌入式深度学习》\n研究生课程：《智能感知理论与应用》\n承担科研项目情况\n1.面向JT的智能人机交互装置设计与研制，纵向课题，主持，2026.01~2027.12\n2.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\n3.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\n4.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\n5.基于深度学习的切缘术区舌鳞癌拉曼光谱检测方法研究，北京信息科技大学勤信英才项目，主持，2021.01～2023.12\n6.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\n7.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\n8.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\n主要论文目录\n1. Yuchen Bai(博士), Mingxin Yu*, Weiqiang Chen, Lidan Lu, Xiaoping Lou, Yanlin He, Mingli Dong, Zidong Wang, and Lianqing Zhu. RTDM: Real-Time Denoising Mamba with Progressive Self-Distillation. Knowledge-Based Systems, 2026, Accepted.\n2. Mingxin Yu, Junhui Cui. Breaking modal barriers: Text-Prompt guided Raman Spectroscopy-Based mineral identification. Measurement, 2026, 265:120369.\n3. Mingxin Yu, Yiyuan Ge, Zhihao Chen, Rui You, Lianqing Zhu, Mingwei Lin, and Zeshui Xu.No escape: Towards suggestive clues guidance for cross-modality person re-identification. Information Fusion, 2025, 122:103185.\n4. Mingxin Yu, Hao Dong, Rui You, Shengjun Liang, Qihao Zhang, Yiyuan Ge, Mingwei Lin, and Zeshui Xu. YOLO-MousePose: A Novel Framework and Dataset for Mouse Pose Estimation from a Top-Down View. IEEE Transactions on Instrument and Measurement, 2025, 74:1-19.\n5. Mingxin Yu, Xinda Yang, Hang Du, Zhiqiang Guo, Lianqing Zhu, Minwei Lin, and Zeshui Xu. MSCT: A Multi-Scale Convolutional Transformer Model for Load Prediction of Aircraft Landing Gear. IEEE Transactions on Aerospace and Electronic Systems, 2025, 61(6): 19399-19411.\n6. Yuchen Bai(博士), Lianqing Zhu, Yichen Sun, Mingli Dong, and Mingxin Yu*. Multi-scale large receptive field feature distillation network for lightweight infrared image super-resolution. Optics and Laser Technology, 2025, 188:112814.\n7. Mingxin Yu, Zhenyang Liang, Ning Li, and Mingwei Lin. DGTF: A framework utilizing textual semantics for detail-aware and global fusion with a multi-degradation scenarios dataset. Optics and Laser Technology, 2025, 191:113319.\n8. Zhenyang Liang (硕士), Mingxin Yu*, Yichen Sun, and Mingli Dong. SPFusion: A multi-task semantic perception infrared and visible light fusion method with quality assessment. Displays, 2025, 87:102903.\n9. Yiyuan Ge (硕士), Mingxin Yu*, Zhihao Chen, Wenshuai Lu, Yuxiang Dai, and Huiyu Shi. Attention-Enhanced Controllable Disentanglement for Cloth-Changing Person Re-identification. The Visual Computer, 2025, 41:5609-5624.\n10. Mingxin Yu, Lianyu Li, Rui You, Xinsong Ma, Chengjie Zheng, Lianqing Zhu, and Tao Zhang. A general framework for qualitative analysis of Raman spectroscopy based on deep learning. Microchemical Journal, 2024, 199:109990.\n11. Mingxin Yu, Ji Zhang, Lianqing Zhu, Shengjun Liang, Wenshuai Lu, and 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, 2024, 17:6265-6277.\n12. Yiyuan Ge (硕士), Zhihao Chen, Mingxin Yu*, Qing Yue, Rui You, and Lianqing Zhu. MambaTSR: You only need 90k parameters for traffic sign recognition. Neurocomputing, 2024, 599:128104.\n13. Jingya Ding (博士), Lianqing Zhu, Mingxin Yu*, et al. PMONN: an optical neural network for photonic integrated circuits based on micro-resonator. Optical Express, 2024, 32(5):7832-7847.\n14. Mingxin Yu, Xuefan Miao, Yichen Sun, Yuchen Bai, and Lianqing Zhu. AFIRE: Adaptive FusionNet for illumination-robust feature extraction in heterogeneous imaging environments. Infrared Physics & Technology, 2024, 142:11120.\n15. Yiyuan Ge (硕士), Mingxin Yu*, Zhihao Chen, Wenshuai Lu, and Huiyu Shi. Semantically enhanced attention map-driven occluded person re-identification. IET Electronics Letters, 2024, 60(9):e13217.\n16. 葛怡源 (硕士), 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, 2024, 60(9):110-119.\n17. Mingxin Yu, Jingya Ding, Wanquan Liu, Jiabin Xia, Shengjun Liang, Rixing Jing, Lianqing Zhu, and 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, 2023, 86(Part C):105339.\n18. Yichen Sun (博士), Mingxin Yu*, Luyang Wang, et al. A Deep Learning-Based GPS Signal Spoofing Detection Method for small UAVs. Drones, 2023, 7(6):370.\n19. Yichen Sun (硕士), Mingli Dong, Mingxin Yu*, et al. Modeling and simulation of all-optical diffractive neural network based on nonlinear optical materials. Optics Letters, 2022, 47(1): 126-129.\n20. 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, 2020, 37: 270-282."