李艳婷

时间：2024-03-05浏览：923设置

郑州轻工业大学硕士生导师基本情况一览表


姓名

 李艳婷

职称

 讲师

学科/专业学位类别

人工智能/博士学位

研究方向

 机器学习、模式识别、图像处理

邮箱

ytli1227@126.com

1.导师基本情况

博士，硕士生导师，河南省高校科技创新人才，郑州轻工业大学青年骨干教师。2019年8月毕业于澳门大学，获博士学位，同年入职郑州轻工业大学从事教学科研工作。2017年去耶鲁大学交流学习。研究方向为大数据与人工智能，主要从事机器学习、数据处理、模式识别等相关领域的研究工作。主持国家自然科学青年基金一项、河南省高校科技创新人才项目一项、河南省科技攻关项目两项、河南省高层次人才国际化培养项目一项；参与多项国家级项目和河南省省部级项目。在TIP、TNNLS、TKDE、KBS、ESWA、ASOC、INS等国际期刊/会议上发表论文40余篇，授权国家发明专利4项； 获评河南省教育厅优秀科技论文奖一等奖一项和二等奖一项。中国计算机学会会员、中国人工智能学会会员；TIP、KBS、ESWA、ASOC、INS等多个国际期刊的审稿专家。对研究方向感兴趣的同学，请联系邮箱ytli1227@126.com或2019027@zzuli.edu.cn。

  1. 代表性成果

代表性论文：

  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, 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).

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

  8. Yanting Li, Yiping Gao, Junwei Jin*, Jiaofen Nan, Yinghui Meng, Mengjie Wang*, and C. 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).

  9. 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).

  10. 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).

  11. 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).

  12. 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).

  13. 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).

  14. 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).

  15. 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, DOI: 10.1109/ TNNLS.2023.3291793, 2023(SCI一区, CCF-B, Top期刊).

  16. 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, Top期刊).

  17. 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, Top期刊).

  18. 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).

  19. 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).

  20. 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).

  21. 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).

  22. 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).

  23. Junwei Jin, Zhenhao Qin, Dengxiu Yu, Tiejun Yang, C. L. Philip Chen, Yanting Li*(通讯), “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).

  24. 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）

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

  26. 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).

  27. 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).

  28. 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).

  29. 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).

  30. 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).

  31. 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. 一种稀疏协同联合表示模式识别方法，第一排名，ZL 202010939602.9，2022年，已授权

  2. 一种邻域先验嵌入型协同表示模式识别方法，第一排名，ZL 202011599214.7，2022年，已授权

  3. 一种超密集场景下的D2D通信信道分配方法，第三排名，ZL 202210005755.5，2024年，已授权

  4. 基于知识图谱的冠心病多模态数据特征提取方法，第九排名，ZL 202311242845.7， 2024年， 已授权


获奖：

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

  2. 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

  3. 2024年获评“郑州轻工业大学优秀硕士学位论文指导教师”

  1. 在研的项目

  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. 基于解绕Fourier分解的远程心电图实时压缩和识别技术研究，232102210062，河南省科技攻关项目，2023.01-2024.06，主持

  5. 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

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

  7. 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

  8. 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，第一参与

  9. 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，第一参与



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