姓  名

李艳婷

性 别

女

职  称

讲师

电 话

电子邮件

通信地址

河南省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

2019.09-至今  郑州轻工业大学      计算机与通信工程学院    讲师

2015.08-2019.08    澳门大学              图像处理           博士

2012.09-2015.06  河南大学（免试推荐）  小波分析与框架理论   硕士

2008.09-2012.06    河南大学         数学与应用数学          学士

科研项目

1.    区块链系统安全关键技术研究，河南省重大公益项目201300210200，2021-2023，参与。

2.    基于胶囊网络的穿戴式动态心电信号心律失常诊断的实现,JSJ20190118, 2019-2021, 参与。

3.    片上网络高性能可重构拓扑设计与任务分配技术，国家自然科学基金，2017-2019，参与。

4.    可重构环境下软硬件协同设计的算法研究，国家自然科学基金，2012-2015，参与。

学术及科研成果

[     1.  基于最大后验误差估计和流形学习的鲁棒宽度学习模型及应用研究，21A520009，河南省教育厅自然科学项目，2021.01-2022.12，参加。

2.   Studies and Applications of Unwinding Fourier Expansions of Signals，079/2016/A2，澳门科技发展项目Macau Science and Technology Development Fund (FDCT)，2017.07-2020.06，参加。

学术及科研成果

截至目前，发表论文十余篇，其中SCI收录7篇，EI收录2篇，特别地，在CCF-A类期刊和CCF-C类会议上各发表论文2篇，主要代表作：

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, CCF-A, IF: 9.34).

2)     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, IF: 1.62).

3)     Yanting Li, Junwei Jin*, “A Novel Two-Dimensional Unwinding Decomposition for Image Signals”, IEEE Access, 7: 168700-168709, 2019 (SCI, IF: 3.713).

4)     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, IF: 0.739).

5)     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, DOI：10.1109/TKDE.2021.3049540, 2021 (SCI, CCF-A, IF: 4.95).

6)     Junweijin, Yanting Li, 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, IF: 3.713).

7)      Dengfeng Li*, Yanting Li, “Finite extensions of generalized Bessel sequences to generalized frames”, Acta Mathematica Scientia, 38B(6): 1939–1950, 2018 (SCI, IF: 0.919).

8)     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).

9)     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).

10)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, CCF-C).

11)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, CCF-C).