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首页  计算机与人工智能学院  教育教学  导师风采

李艳婷

发布部门： 计算机与人工智能学院 　发布时间： 2026-03-26 　浏览次数： 10

姓  名

李艳婷

性 别

女

职  称

副教授

电 话

15515839185

电子邮件

2019027@zzuli.edu.cn

通信地址

郑州市高新区科学大道136号

研究方向

机器学习、模式识别、图像处理

工作简历

2026至今，    副教授，计算机与人工智能学院， 郑州轻工业大学

2019至2025年， 讲师，计算机科学与技术学院， 郑州轻工业大学

科研项目

  1. 基于解绕Fourier分解的远程心电图实时分析研究，62106233，国家自然科学青年基金项目，2022.01-2024.12，主持

2.面向含噪非均衡数据场景的鲁棒宽度学习模型研究，25HASTIT028，河南省高校科技创新人才项目，2025.01-2027.12，主持

3.基于鲁棒宽度网络的含噪非均衡医学影像快速识别技术研究，242102211057，河南省科技攻关项目，2024.01-2025.12，主持

4.远程心电图信号实时压缩和识别关键技术研究，河南省高层次人才国际化培养项目，主持

5.郑州轻工业大学青年骨干教师培养项目，2023.01-2024.12，主持

6.远程心电图信号压缩研究，2020BSJJ027,郑州轻工业大学博士基金，2020.01-2022.12，主持

7.基于频谱共享的无人机通信系统中物理层安全传输技术研究，212102210427，河南省科技攻关项目，2020.01-2021.12，第二参与

8.复杂场景下智能汽车视觉感知系统联合检测关键技术开发，202102210122，河南省科技攻关项目，2021.01-2022.12，第二参与

学术及科研成果

在IEEE TIP、TNNLS、TKDE、TCYB等知名期刊上发表高水平学术论文50余篇，其中SCI收录40余篇，授权国家发明专利7件，登记计算机软件著作权10余件。相关成果获河南省科技进步二等奖1项、河南省优秀科技论文一等奖1项和二等奖2项。承担IEEE TIP、TCYB、TNNLS等多个国际知名期刊和会议的审稿工作。

论文发表：

  1. Yanting Li, Liming Zhang, Tao Qian*, “2D Partial Unwinding - A Novel Non-linear Phase Decomposition of Images”,IEEE Transactions on Image Processing, 28(10): 4762-4773, 2019 (SCI一区, CCF-A, Top期刊).

  2. Yanting Li, Junwei Jin*, Jiangtao Ma, Fubao Zhu, Baohua Jin, Jing Liang, C. L. Philip Chen, “Imbalanced Least Squares Regression with Adaptive Weight Learning”, Information Sciences,DOI: 10.1016/j.ins.2023.119541, 648(11): 119541, 2023 (SCI一区, CCF-B, Top期刊).

  3. Yanting Li, Shuai Wang, Junwei Jin*, Fubao Zhu, Liang Zhao, Jing Liang, C. L. Philip Chen, “Imbalanced Complemented Subspace Representation with Adaptive Weight  Learning”,Expert Systems With Applications,  DOI: 10.1016/j.eswa.2024.123555, 249：123555, 2024 (SCI一区, CCF-C, Top期刊).

  4. Yanting Li, Junwei Jin*, Hongwei Tao, Yang Xiao, Jing Liang*, C.L. Philip Chen, “Complemented subspace-based weighted collaborative representation model for imbalanced learning”, Applied Soft Computing, 153: 111319, DOI: 10.1016/j.asoc.2024.111319, 2024 (SCI一区, Top期刊).

  5. Yanting Li, Junwei Jin*, Yun Geng, Yang Xiao, Jing Liang*, C.L. Philip Chen, “Discriminative Elastic-net Broad Learning Systems for Visual Classification”, Applied Soft Computing, 155: 111445, DOI: 10.1016/j.asoc.2024. 111445, 2024 (SCI一区, Top期刊).

  6. Yanting Li, Yusha Wang, Junwei Jin*, Weiwei Zhang, Hongwei Tao, Huaiguang Wu, C.L. Philip Chen, “Imbalanced broad learning system with label relaxation and sample weight adaptation”, Applied Soft Computing, 182: 113543, DOI: 10.1016/j.asoc.2025.113543, 2025 (SCI二区, Top期刊).

  7. Yanting Li, Shuai Wang, Junwei Jin, Hongwei Tao, Chuang Han, and C. L. Philip Chen, “Hybrid density-based adaptive weighted collaborative representation for imbalanced learning”, Applied Intelligence, DOI: 10.1007/s10489-024-05393-2, 54(5):4334-4351, 2024 (SCI二区,CCF-C).

  8. Yanting Li, Junwei Jin*, “A Novel Two-Dimensional Unwinding Decomposition for Image Signals”,IEEE Access, 7: 168700-168709, 2019 (SCI二区).

  9. Yanting Li, Yiping Gao, Junwei Jin*, Jiaofen Nan, Yinghui Meng, Mengjie Wang*,andC. L. Philip Chen, “Adaptive weights-based relaxed broad learning system for imbalanced classification”,Digital Signal Processing,DOI:10.1016/j.dsp.2024.104869, 156:104869, 2025 (SCI三区).

  10. Yanting Li, Tao Qian*, “A Novel 2D Partial Unwinding Adaptive Fourier Decomposition Method with Application to Frequency Domain System Identification”,Mathematical Methods in the Applied Sciences, 42(9): 3123–3135, 2019 (SCI三区).

  11. Yanting Li, Junwei Jin*, C. L. Philip Chen, “A real-time classification model based on joint sparse-collaborative representation” ,Journal of Real-Time Image Processing,18(5): 1837-1849,2021 (SCI三区).

  12. Yanting Li, Shuai Wang, Junwei Jin, Hongwei Tao, Jiaofen Nan, Huaiguang Wu, and C. L. Philip Chen, “Density-based discriminative nonnegative representation model for imbalanced classification”,Neural Processing Letters, DOI：10.1007/s11063-024-11573-5, 56(2):95, 2024(SCI四区).

  13. Yanting Li, Junwei Jin*, Liang Zhao, Huaiguang Wu, Lijun Sun, C. L. Philip Chen, “A Neighborhood Prior Constrained Collaborative Representation for Classification”,International Journal of Wavelets, Multiresolution and Information Processing, 19(2):2050073:1-2050073:22, 2021(SCI四区).

  14. 李艳婷,王帅,金军委*,马江涛,陈雪艳,陈俊龙, “基于加权正则化协同表示的非均衡分类方法”,电子与信息学报，45(7): 2571-2579，DOI: 10.11999/JEIT220753，2023 (EI期刊).

  15. 李艳婷,李登峰, “广义框架的近似对偶框架的构造及扰动”,河南大学学报:自然科学版, (45):127-130,2015 (核心期刊).

  16. Junwei Jin, Biao Geng,Yanting Li*(通讯), Jing Liang, Yang Xiao, C. L. Philip Chen*, “Flexible Label-Induced Manifold Broad Learning System for Multiclass Recognition”, IEEE Transactions on Neural Networks and Learning Systems, 35(11):16076-16090,DOI: 10.1109/ TNNLS.2023.3291793, 2024(SCI一区, CCF-B, Top期刊).

  17. Junwei Jin, Shaokai Chang, Junwei Duan,Yanting Li*(通讯), Weiping Ding*, Zhen Wang, C. L. Philip Chen, Peng Li*, “Groupwise Label Enhancement Broad Learning System for Image Classification”, IEEE Transactions on Cybernetics,55(7): 3431-3444,DOI: 10.1109/TCYB.2025.3550175, 2025(SCI一区, CCF-B, Top期刊).

  18. Junwei Jin,Yanting Li, Tiejun Yang, Liang Zhao, Junwei Duan*, C. L. Philip Chen*,“Discriminative Group-Sparsity Constrained Broad Learning System for Visual Recognition”,Information Sciences, 576:800-818, 2021 (SCI一区, CCF-B, Top期刊).

  19. Junwei Jin, Zhenhao Qin, Dengxiu Yu,Yanting Li*(通讯), Jing Liang, C.L. Philip Chen, “Regularized discriminative broad learning system for image classification”,Knowledge-Based Systems, 251: 109306, 2022 (SCI一区, CCF-C,Top期刊).

  20. Fubao Zhu, Yanhui Tian, Chuang Han, Yanting Li, Jiaofen Nan, Ni Yao*, Weihua Zhou, “Model-level Attention and Batch-instance Style Normalization for Federated Learning on Medical Image Segmentation”, Information Fusion, DOI：10.1016/j.inffus.2024.102348, 107：102348, 2024 (SCI一区, Top期刊).

  21. Junwei Jin,Yanting Li, C. L. Philip Chen*, “Pattern Classification with Corrupted Labeling via Robust Broad Learning System”,IEEE Transactions on Knowledge and Data Engineering, 34(10): 4959-4971, 2022 (SCI二区,CCF-A).

  22. Junwei Jin, Songbo Zhou,Yanting Li*(通讯), Tanxin Zhu, Chao Fan, Hua Zhang, Peng Li*,“Reinforced Collaborative-Competitive Representation for Biomedical Image Recognition”, Interdisciplinary Sciences: Computational Life Sciences, DOI:10.1007/512539-024 00683-2, 2025(SCI二区).

  23. Junwei Jin,Yanting Li*(通讯), Lijun Sun, C. L. Philip Chen*, Jianyu Miao, “A New Local Knowledge-Based Collaborative Representation for Image Recognition”, IEEE Access, 8: 81069-81079, 2020 (SCI二区).

  24. Junwei Jin, Xianzheng Zhu, Yun Geng, Jiahang Liu,Yanting Li, Jing Liang,C.L. Philip Chen, Peng Li, “Retargeted broad learning systems for image classification”,Digital Signal Processing, 159:105020, 2025 (SCI三区).

  25. Junwei Jin, Zhenhao Qin, Dengxiu Yu, Tiejun Yang, C. L. Philip Chen,Yanting Li*,“Relaxed Least Square Regression with L2,1-norm for Pattern Classification”, International Journal of Wavelets Multiresolution and Information Processing, DOI: 10.1142/S021969132350025X, 2350025,2023 (SCI四区).

  26. Xiaoyun Sun, Shuaiming Su, Qiang Wang, Shufeng Xiong,Yanting Li, Hong Peng, Lei Shi, Prediction of wheat fusarium head blight severity levels in southern Henan based on K-means-SMOTE and XGBoost algorithms, PeerJ Computer Science 11:e2638,DOI: 10.7717/peerj-cs.2638, 2025(SCI四区).

  27. Liang Zhao*, Zhengjie Wei,Yanting Li, Junwei Jin, Xuan  Li,“SEDG-Yolov5: A Lightweight Traffic Sign Detection Model Based on Knowledge Distillation”, Electronics, 12(2): 305，2023（SCI四区）

  28. Dengfeng Li*,Yanting Li, “Finite extensions of generalized Bessel sequences to generalized frames”,Acta Mathematica Scientia, 38B(6): 1939–1950, 2018 (SCI二区).

  29. Fubao Zhu, Longxi Li, Jinyu Zhao, Chen Zhao, Shaojie Tang, Jiaofen Nan,Yanting Li, Zhongqiang Zhao, Jianzhou Shi, Zenghong Chen, Chuang Han, Zhixin Jiang, Weihua Zhou, “A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images”, Computers in Biology and Medicine, 160: 106954, 2023 (SCI二区).

  30. Ni Yao, Longxi Li, Zhengyuan Gao, Chen Zhao, Yanting Li等, Deep learning-based diagnosis of disease activity in patients with Graves' orbitopathy using orbital SPECT/CT, European Journal of Nuclear Medicine and Molecular Imaging, 50: 3666-3674, 2023 (SCI一区).

  31. Dengfeng Li*,Yanting Li, “Scalability of generalized frames”, Advances in Mathematics (China) Series B English Edition, 48(2): 219–228, 2018 (核心期刊).

  32. Dengfeng Li*,Yanting Li, “G-dual Frames for generalized frames”, Advances in Mathematics (China) Series B English Edition, 45(6): 919–931, 2016 (核心期刊).

  33. 韩闯,阙文戈,王治忠,王松伟,李艳婷,师丽,基于心电图的心肌梗死智能辅助诊断方法研究综述,生物医学工程学杂志, 2023, 40(5): 1019-1026 (EI期刊).

  34. Yanting Li, Yiping Gao, Junwei Jin, C. L. Philip Chen, Adaptive weighted broad learning system for imbalanced classification, IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference, 2024 (EI会议).

35)Yanting Li, Shuai Wang, Junwei Jin, C. L. Philip Chen, “Weighted competitive-collaborative representation based classifier for imbalanced data classification”, International Conference on Artificial Intelligence, 2022：462-472(CPCI会议).

36)Yanting Li, Junwei Jin*, Huaiguang Wu, Lijun Sun, C. L. Philip Chen, “Multi-resolution Collaborative Representation for Face Recognition”, International Conference on Systems, Man and Cybernetics (SMC), 2020 (EI会议, CCF-C).

37)Junwei Jin, C. L. Philip Chen*,Yanting Li, “Robust Broad Learning System for Uncertain Data Modeling”, International Conference on Systems, Man and Cybernetics (SMC), 2018 (EI会议, CCF-C).

授权发明专利：

  1. 李艳婷；金军委；王帅；陶红伟；吴怀广；顿辉；朱付保，一种基于补子空间的加权协同表示非均衡分类方法，ZL 202210356037.2，2025.07.08，已授权

  2. 李艳婷；金军委；吴怀广；赵亮；孙丽君，一种领域先验嵌入型协同表示模式识别方法，ZL 202010939602.9，2022.8.16，已授权

  3. 李艳婷；金军委；吴怀广，一种稀疏协同联合表示模式识别方法，ZL 202011599214.7，2022.8.16，已授权

  4. 金军委；李艳婷；耿昀；耿彪；秦振皓；周小宁；杨铁军；樊超；赵亮；于俊伟，基于混合范数正则约束的宽度学习图像分类方法及装置，ZL 2022 1 0539303.5，2025.04.25，已授权

  5. 顿辉；丁汉清；李艳婷，一种超密集场景下的D2D通信信道分配方法，ZL 20221 0005755.5，2024.12.06，已授权

6)韩闯；庾骏；朱付保；陶红伟；李祖贺；黄伟；姚妮；南姣芬；李艳婷；孙佳佳， 基于知识图谱的冠心病多模态数据特征提取方法，ZL 2023 1 1242845.7，2024.08.06， 已授权

获奖：

  1. 医疗影像大数据智能处理与诊断支持关键技术及应用，河南省科技进步二等奖，2025年，第六排名，6/10

  2. Imbalanced Least Squares Regression with Adaptive Weight Learning，河南省教育厅优秀科技论文二等奖，2025年，第一排名, 1/3

  3. Discriminative group-sparsity constrained broad learning system for visual recognition，河南省教育厅优秀科技论文一等奖，2024年，第二排名

  4. A real-time classification model based on joint sparse-collaborative representation，河南省教育厅优秀科技论文二等奖，2022年，第一排名
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