
李春芝
个人简历
李春芝,博士、副教授、硕士生导师。女,1982年生,2003年获淮阴师范学院物理学学士学位,2007年获五邑大学工学硕士学位,2014年获华东师范大学工学博士学位。湖州市1112后备人选。
先后主持和参与国家和省部级科研课题4项。获浙江省高校科研成果奖1项(掌纹识别关键技术,三等奖,2010)和湖州市自然科学优秀论文奖1项(系列论文(1)基于掌纹、人脸关联特征的身份识别算法;(2)cross-band fusion by energy as solution to illumination and arch restrictions in palm-recognition(3)小波重构与局部DCT的二维主元分析掌纹识别,二等奖,2012)。在《IEEE Transactions on Geoscience & Remote Sensing》、《IEEE Geoscience & Remote Sensing Letters》、《APPLIED MATHEMATICAL MODELLING》、《Journal of Lightwave Technology》等期刊上发表论文40余篇,指导学生参加图像处理相关竞赛多项国赛奖项。
研究方向
生物特征提取与识别、遥感图像处理、信息安全等。
主要承担的教学课程
本科生课程:信号与系统、数字信号处理;研究生课程:数字图像处理。
代表性学术成果
论文及专利:
1.C. Li, Y. Zhang, X. Chen, H. Zheng and J. Li, Inter-Class Separability Factorization for Hyperspectral Anti-Interference Unmixing, in IEEE Transactions on Geoscience and Remote Sensing, 2025, doi: 10.1109/TGRS.2025.3602493.(中科院SCI一区Top)
2.Z. Cai, J. Wang, C. Li,X. Chen, and Y. Zhang. Sheep recognition via a lightweight fine-grained cascade distinct-former in smart farm.Engineering Research Express, 2025,7(3):035223.(中科院SCI四区)
3.X. Fu, W. Guo, C. Li, X. Chen, and H. Zheng. A Deep Detection and Identification Framework for Smart Sheep Farm. Signal Image and Video Processing, 2025, 19(10):791.(中科院SCI四区)
4.Y. Wu, Z. Chen, X. Chen, C. Li. F. Zeng. Y. Yang, H. Zheng, Z. Cai, and W. Shen. Computation and Key Distribution Equilibrium for Virtual Optical Network Embedding Over Elastic Optical Networks Integrated With Quantum Key Distribution. IEEE Internet of Things Journal. 2025,12(15):29682-29695.(中科院SCI二区Top)
5.C. Li, S. Li, X. Chen, and H. Zheng. Deep bidirectional hierarchical matrix factorization model for hyperspectral unmixing. APPLIED MATHEMATICAL MODELLING, 2025, 137: 115736.(中科院SCI二区)
6.X. Chen, L. Yang, C. Li,and Y. Li. Carbon Emission-Aware Virtual Optical Network Embedding Over Elastic Optical Networks. Journal of Lightwave Technology, 2024, 42(20):7056-7069.(中科院SCI一区Top)
7.C. Li, Y. Li, X. Chen, and Y. Zhang. Concerning Imbalance and Bounding Box Loss to Detect Small Targets in Remote Sensing. IEEE Sensors Journal, 2024, 24(17): 27631-27639.(中科院SCI二区)
8.W. Shen, X. Li, L. Fan, X. Chen, and C. Li. Re-Equipping Residual Networks for Few-Shot Hyperspectral Image Classiffcation. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024,21:5506505. (中科院SCI三区)
9.X. Chen and C. Li. A Generic Post-Method For Blind Source Separation To Purify Abundance Map. IEEE Sensors Journal, 2023. DOI: 10.1109/JSEN.2023.3326251
10.C. Li and X. Chen. A Staged Approach With Structural Sparsity for Hyperspectral Unmixing. IEEE Sensors Journal, 2023, 23(12):13248-13260.(中科院SCI二区)
11.C. Li, X. Li, J. Wang, X. Chen* and Y. Zhang. Exploring Oblique Rotation Factor to Restructure Deep Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 2023, 20:1-5.(中科院SCI三区)
12.Xiaohua Chen, Li Wang, Chunzhi Li, Jieshuai Yang, Zhan Lu, Yonggen Gu, Yunliang Jiang. Resource Distribution Equilibrium for Virtual Network Embedding Over Flexi-Grid Optical Networks, Journal of lightwave technology, 2021, 39(15):4894-4908.(中科院SCI二区Top)
13.Chunzhi Li, Xiaohua Chen, Yunliang Jiang, Lulu Yang. Elastic constraints on split hierarchical abundances for blind hyperspectral unmixing. Signal Processing, 2021, 188. (中科院SCI二区)
14.Chunzhi Li, Yonggen Gu, Xiaohua Chen*, Yuan Zhang, Lijian Ruan. Hyperspectral Unmixing Via Latent Multi-Heterogeneous Subspace [J]. IEEE Trans. Geosci. Remote Sens., 2021, 59(1):563-577.(中科院SCI一区Top)
15.Chunzhi Li, Yunliang Jiang, Xiaohua Chen. Hyperspectral Unmixing Via Noise-Free Model. IEEE Trans. Geosci. Remote Sens., 2021, 59(4):3277-3291.(中科院SCI一区Top)
16.Chunzhi Li, Xiaohua Chen*, Yuan Zhang. Hyperspectral Subpixel Unmixing Via An Integrative Framework. International Journal of Remote Sensing, 2020,41(22):8778-8807. (中科院SCI三区)
17.Chunzhi Li, Xiaohua Chen*. Error Approximation of Hyperspectral Unmixing via Correntropy-Induced Metric. IEEE Geoscience and Remote Sensing Letters, 2020, 7(2): 282-286.(中科院SCI二区)
18.陈晓华,李春芝,陈良育,曾振柄,蒋云良. 高效节能虚拟网络映射多反馈控制模型及算法. 软件学报,2017,28(7):1790-1814.
19.Chen X, Li C, Jiang Y. A feedback control approach for energy efficient virtual network embedding[J]. Computer Communications, 2016, 80: 16-32.(中科院SCI三区)
20.陈晓华,李春芝,陈良育,曾振柄,蒋云良.虚拟网络映射高效节能运输模型及算法. 电子学报, 2016, 44(3): 725-731.
21.Chen X, Li C, Jiang Y. Optimization model and algorithm for energy efficient virtual node embedding. IEEE Communications Letters, 2015, 19(8): 1327-1330.(中科院SCI三区)
22.Chunzhi Li, Xiaohua Chen*, Yunliang Jiang. On Diverse Noises in Hyperspectral Unmixing,IEEE Transactions on Geoscience & Remote Sensing, 2015.(中科院SCI一区Top)
23.陈晓华,李春芝,陈良育,曾振柄. 主动休眠节点链路的高效节能虚拟网络映射. 软件学报, 2014, 25(7): 1416-1431.
24.陈晓华,李春芝,陈良育,曾振柄. 虚拟网络映射最小费用流模型及算法. 电信科学, 2014, 30(6): 90-94.
25.Chunzhi Li, Xiaohua Chen. Independent component analysis based on whiten scatter difference matrix for expression recognition. Application Research of Computers, 2011
26.Chunzhi Li, Xiaohua Chen, Yunliang Jiang, and Shixiong Zhang. Correlative feature applications in identity recognition based on palmprint and face. Journal of Circuits and Systems, 2010.(中科院SCI四区)
27.Xiaohua Chen, Chunzhi Li*. Cross-band Fusion by Energy Weight as Solution to Illumination and Arch Restrictions in Palm-print Recognition. International Journal of Imaging Systems & Technology,2009.(中科院SCI四区)
28.Junying Gan, Chunzhi Li. Face Recognition Based on Wavelet Transform, Two-Dimensional Principal Component Analysis and Independent Component Analysis. Pattern Recognition and Artificial Intelligence, 2009
29.Junying Gan, Chunzhi Li. Applications of 2DPCA-ICA in Face Recognition. Journal of Circuits and Systems, 2008
30.Junying Gan, Chunzhi Li. Face Recognition Based onWT-2DICA and Improved Fisher Algorithm. Computer Engineering, 2008
31.Junying Gan, Chunzhi Li. 2DICA Based on Wavelet Transformation and Applications in Face Recognition. Journal of System Simulation, 2007
32.李春芝,杨露露,陈晓华,阮立建.一种基于Sinkhorn距离的盲高光谱解混模型的构建方法. 发明专利, ZL202110586019.9.
33.一种基于抗噪的混合像元分解模型的构建方法. 发明专利, ZL201410096568.8.
34.一种基于正交约束投影解混模型的消噪解混方法. 发明专利, ZL201410119157.6.
35.一种高效节能虚拟网络节点映射模型与算法. 发明专利, ZL201510160792.3.
36.一种高效节能虚拟网络映射的反馈控制方法. 发明专利, ZL201410322998.7.
37.一种能耗感知的虚拟网络映射运输模型的方法. 发明专利, ZL2014100889612.
38.一种基于最小费用流模型的虚拟链路映射算法. 发明专利, ZL201410088288.2.
39.一种基于反馈控制的高效节能虚拟网络映射方法. 发明专利, ZL201510161067.8.
40.一种主动休眠节点和链路的高效节能虚拟网络映射算法. 发明专利, ZL 201410087749.4.
(成果序号连贯,不需另起)
主要科研项目
主持:
1.基于高光谱数据的抗噪广义模型及解混算法研究,国家自然科学基金(61501184),2016-2018
2.基于人脸视频的超分辨率图像盲复原重建技术研究,浙江省自然科学基金(Y1100095),2010-2012
3.基于联合空间的视频人脸识别研究,湖州市自然科学资金(2010YZ04)2010-2012
参与:
1.面向弹性光网络的绿色数据中心虚拟化关键技术研究,浙江省自然科学基金(LY17F020007),2017.01-2019.12.
2.期货量化交易算法与模型研究,横向项目, 2021.7-2024.7.
3.羊脸识别关键技术研究,横向项目,2022.10-2025.10.
4.基于AI视觉的湖羊智能计数研究,横向项目,2025.03-2028.03.
联系方式
Email:lichunzhi82@zjhu.edu.cn