陈飞，男，博士, 副教授，院长助理。本科与硕士毕业于福州大学数学与计算机科学学院，博士毕业于浙江大学信息与电子工程学系。先后在香港理工大学电子计算系、英国格林威治大学计算与数学学院、加拿大约克大学电子工程与计算机科学系担任助理研究或访问学者。主要研究计算机视觉、机器学习和图信号处理，在IEEE TSP, TIP, CVPR, ICCV等期刊和会议上发表学术论文50多篇，授权专利10余项，主持2项国家自然科学基金和2项省自然科学基金，获福建省科技进步二等奖1项。现为EI期刊Journal of Algorithms & Computational Technology的编委(2022-)，美国Mathematical Reviews的评论员(2013-)。

联系方式：chenfei314@fzu.edu.cn

科研项目：

1、融合深度学习和扩散模型的图像恢复研究，浙江大学CAD&CG国家重点实验室开放课题、2014-2015，主持

2、基于深度学习的协同目标分割与行为理解研究，国家自然科学青年基金，2015-2017，主持

3、基于深度学习的图像复原与识别研究，福建省自然科学基金面上项目，2017-2020，主持

4、基于自然图像块学习的盲去噪技术的研究，国家自然科学基金面上项目，2018-2021，主持

5、基于形状特征和图关系网络的小目标识别技术研究，福建省自然科学基金面上项目，2021-2024，主持

主要论文：

1. Fei Chen, Huimin Yu et al., Shape sparse representation for joint object classification and segmentation, IEEE Transaction on Image Processing (TIP), 2013.

2. Fei Chen, Huimin Yu et al., Deep learning shape priors for object segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2013.

3. Fei Chen, Lei Zhang et al., External Patch Prior Guided Internal Clustering for Image Denoising, IEEE International Conference on Computer Vision (ICCV), 2015.

4. Fei Chen, Xunxun Zeng et al., Image denoising via local and nonlocal circulant similarity. Journal of Visual Communication and Image Representation(JVCIR), 2015.

5. Fei Chen, Huimin Yu et al., Robust sparse kernel density estimation by inducing randomness, Pattern Analysis and Applications (PAA), 2015.

6. Fei Chen, Roland Hu et al., Reduced set density estimator for object segmentation based on shape probabilistic representation, Journal of Visual Communication and Image Representation (JVCIR), 2012.

7. Xunxun Zeng, Fei Chen* et al., Shape group Boltzmann machine for simultaneous object segmentation and action classification, Pattern Recognition Letters (PRL), 2018.

8. Fei Chen, Haiqing Chen et al., Autoencoder-based patch learning for real-world image denoising, Journal of Algorithms & Computational Technology (JACT), 2019.

9. Xunxun Zeng, Fei Chen* et al., Circulant Dissimilarity Based Shape Registration for Object Segmentation, International Journal of Computer Mathematics (IJCM), 2019.

10. Fei Chen, Gene Cheung et al., Fast & Robust Image Interpolation using Gradient Graph Laplacian Regularizer, IEEE International Conference on Image Processing (ICIP), 2021.

11. 尤福源, 陈飞*等；基于全卷积孪生网络的相似块组协同盲去噪算法,计算机辅助设计与图形学学报, 2022.

12. Fei Chen, Gene Cheung et al.,Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding,IEEE Data Science and Learning Workshop (DSLW), 2022.

13. Yinhe Lin, Fei Chen* et al., Handwriting Curve Interpolation Using Gradient Graph Laplacian Regularizer, IEEE International Conference on Multimedia and Expo (ICME), 2023.

14. Erbing Yang, Fei Chen* et al., Local Property of Depth Information in 3D Images and Its Application, Mathematics, 2023.

15. Zejun He, Fei Chen* et al., A dual-branch network based on connectivity mask for retinal vessel segmentation, IEEE International Conference on Multimedia and Expo (ICME), 2024.

16. 陈权、陈飞*等，融合目标定位与异构局部交互学习的细粒度图像分类，自动化学报，2024.

17. Fei Chen, Gene Cheung et al., Soft Image Segmentation using Gradient Graph Laplacian Regularizer, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.

18. Fei Chen, Gene Cheung et al., Manifold Graph Signal Restoration using Gradient Graph Laplacian Regularizer, IEEE Transactions on Signal Processing (TSP), 2024.

教学方面：

1.计算机视觉课程获批福建省一流线下课程,2021.

2.获全国大学生数学建模竞赛优秀指导教师,2021.

3.基于知识图谱的综合实践教学设计,计算机教育,2023.

4.基于多源数据层次分析的数学课堂教学评价,高等理科教育,2019.