方乐缘

‍‍方乐缘

个人简介

现为湖南大学电气与信息工程学院教授,博士生导师IEEE Senior Member。于2016年月-20179月在美国杜克大学生物医学工程系进行博士后研究20119-20129月在美国杜克大学生物医学工程系进行博士联合培养。现主要从事遥医学和感图像处理与分析、深度学习、稀疏表示方向的研究。研究成果在国际权威期刊和会议发表论文56篇,其中SCI期刊发表论文36篇(IEEE Transactions on Medical Imaging, IEEE Transactions on Geoscience and Remote Sensing等本领域顶级IEEE会刊论文22篇),国际权威会议论文20篇,他引1000余次ESI高被引(1%3篇,ESI热点论文0.1%11篇的论文被报道OCT技术的国际权威网站OCTNews选为“Feature of the Week”,作为其头版头条进行报道。获得湖南省优秀博士论文、教育部博士新人奖等奖项。主持国家自然科学基金委面上和青年基金项目2国家博士后特等资助和面上一等项目2项。

个人主页

科研在线:http://www.escience.cn/people/LeyuanFang/index.html

Google Site: https://sites.google.com/site/leyuanfang/home

Google scholar: https://scholar.google.com/citations?user=Gfa4nasAAAAJ&hl=zh-CN

 

主要研究方向招生

深度学习、人工智能及其在医学遥感图像处理分析中的应用

以上研究方向上,课题组与杜克大学、斯坦福大学、慕尼黑工业大学、德国宇航局、墨尔本大学、冰岛大学中南大学湘雅医学院湖南中医药大学国家海洋局等国内外科研院所保持密切的科研合作关系

课题组常年招收博士后,博士,硕士本科实习生

欢迎自动化、电子、计算机数学、生物医学工程等相关专业本课题组研究感兴趣同学与我联系该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。

要求对研究具有较浓厚的兴趣,且具有较好数学、英语和编程(MatlabPythonC)能力

  主要教育经历

2010.9-2015.6   

湖南大

控制科学与工程专业

博士,导师:李树涛

2011.9-2012.9   

杜克大学

生物医学工程专业

联合培养博士生,导师:Sina Farsiu

 

 主要工作经历

2016.8-2017.9    

 杜克大学   生物医学工程系               博士后研究人员               

2017.02-至今   

湖南大学    电气与信息工程学院         副教授                             

2015.12-至今   

湖南大学    电气与信息工程学院     博士生导师                               

2013.6-2016.12    

湖南大学    电气与信息工程学院,     助理教授(讲师)

 

主要科研项目

1. 国家自然科学基金面上基金项目(61771192),基于OCT图像多病变分析的视网膜疾病自动诊断方法研究,2018-202166万元,主持

2. 国家自然科学基金青年基金项目(61601179),面向光学相干层析成像的三维结构化压缩感知方法研究,26.38万元,2016.01-2018.12,主持。

3. 国家博士后面上一等资助项目, 8万元,2016.06-2017.12,主持。

4. 国家博士后面上特别资助项目,15万元,2017.06-2018.12,主持。

5. 国家自然科学基金国际(地区)合作与交流项目,61520106001,高分辨率高光谱遥感图像信息获取与处理,245万元,2016.01-2020.12,参与。

 

代表性论文

大部分论文代码个人主页下载http://www.escience.cn/people/LeyuanFang/index.html

1. Leyuan Fang, Nanjun He, Shutao Li, Pedram Ghamisi and Jón Benediktsson, Extinction Profiles Fusion for Hyperspectral Images Classification, IEEE Transactions on Geoscience and Remote Sensing, 2018, 待刊

2. Leyuan Fang, Haijie Zhuo, Shutao Li, Super-resolution of hyperspectral image via superpixel-based sparse representation, Neurocomputing, 2018.

3. Leyuan Fang, DAVID CUNEFARE, CHONG WANG, ROBYN H. GUYMER, SHUTAO LI, AND SINA FARSIU1, Automatic segmentation of nine retinal layer boundaries in optical coherence tomography images using deep learning and graph search, Biomedical Optics Express, 2017.

4. Leyuan Fang, Shutao Li, Davia Counefair, and Sina Farsiu, Segmentation based sparse reconstruction of optical coherence tomography images, IEEE Transactions on Medical Imaging, 2017, 36(2): 407-421.

5. Leyuan Fang, Shutao Li, Qing Nie, Ryan Mcnabb, Anthony Kuo, Cynthia Toth, Joseph Izatt, and Sina Farsiu, Fast acquisition and reconstruction of optical coherence tomography images via sparse representation, IEEE Transactions on Medical Imaging, 2013, 32(11):2034-2049.

6. Leyuan Fang, Shutao Li, Xudong Kang, Joseph Izatt, and Sina Farsiu, 3-D adaptive sparsity based image compression with applications to optical coherence tomography, IEEE Transactions on Medical Imaging, 2015, 34(6): 1306-1320. SCI EI收录)

7. Leyuan Fang, Shutao Li, Wuhui Duan, Jinchang Ren, and Jón Benediktsson, Classification of hyperspectral images by exploiting spectral-spatial information of superpixel via multiple kernels, IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(12): 6663-6674. SCI EI收录)

8. Leyuan Fang, Shutao Li, Xudong Kang, and Jón Benediktsson, Spectral-spatial classification of hyperspectral images with a superpixel based discriminative sparse model, IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(8): 4186-4201.SCI EI收录)

9. Leyuan Fang, Shutao Li, Xudong Kang, and Jón Benediktsson, Spectral-spatial hyperspectral image classification via multiscale adaptive sparse representation, IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(12): 7738-7749.

10. Leyuan Fang and Shutao Li, Face recognition by exploiting local gabor features via multi-task adaptive sparse representation, IEEE Transactions on Instrumentation and Measurement, 2015, 64(10): 2605-2615.SCI EI收录)

11. Leyuan Fang, Cheng Wang, Shutao Li, Jón Benediktsson, Hyperspectral image classification via multiple-feature based adaptive sparse representation, IEEE Transactions on Instrumentation and Measurement, 2017.SCI EI收录)

12. Leyuan Fang, Nanjun He, Hui Lin, CP tensor based compression of hyperspectral images, Journal of the Optical Society of America A, 2017, 34(2): 252-258. SCI EI收录)

13. Leyuan Fang, Shutao Li, Qing Nie, Cynthia Toth, Joseph Izatt, and Sina Farsiu, Sparsity based denoising of spectral domain optical coherence tomography images, Biomedical Optics Express, 2012, 3(5):927-942.SCI EI收录)(selected as the ‘Feature of the week’ in OCTNews http://www.octnews.org)

14. Shutao Li, Leyuan Fang, and Yin Haitao, An efficient dictionary learning algorithm and its application to 3-D medical image denoising, IEEE Transactions on Biomedical Engineering, 2012, 59(2):417-427.SCI EI收录)

15. Shutao Li and Leyuan Fang, Signal denoising with random refined orthogonal matching pursuit, IEEE Transactions on Instrumentation and Measurement, 2012, 61(1):26-34.SCI EI收录)

16. Shutao Li and Leyuan Fang, Multitemporal image change detection using a detail-enhancing approach with nonsubsampled contourlet transformIEEE Geoscience and Remote Sensing Letters, 2012, 9(5):836-840.SCI EI收录)

17. Ting LuShutao LiLeyuan FangLorenzo Bruzzone, and Jon Atli Benediktsson, Set-to-set distance-based spectral-spatial classification of hyperspectral images,  IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(12): 7122-7134.SCI EI收录)

18. Shutao LiTing LuLeyuan FangXiuping Jia, and Jon Atli Benediktsson, Probabilistic Fusion of Pixel-Level and Superpixel-Level Hyperspectral Image Classification,  IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(12): 7416-7430. SCI EI收录)

19. Xudong Kang, Shutao Li, Leyuan Fang, and Jón Benediktsson, Intrinsic image decomposition for feature extraction of hyperspectral imagesIEEE Transactions on Geoscience and Remote Sensing, 2015, 53(4): 2241-2253.SCI EI收录)

20. Wei Fu, Shutao Li, Leyuan Fang, Xudong Kang, and Jón Benediktsson, Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation, IEEE Transactions on Geoscience and Remote Sensing, 待刊,2016.SCI EI收录)

21. Xudong Kang, Shutao Li, Leyuan Fang, Meixiu Li, and Jón Benediktsson, Extended random walker-based classification of hyperspectral images, IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(1): 144-153.SCI EI收录)

22. Shutao Li, Haitao Yin, and Leyuan Fang, Remote sensing image fusion via sparse representations over learned dictionaries, IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(9): 4779-4789.SCI EI收录)

23. Shutao Li, Haitao Yin, and Leyuan Fang, Group-sparse representation with dictionary learning for medical image denoising and fusion, IEEE Transactions on Biomedical Engineering, 2012, 59(12): 3450-3459.SCI EI收录)  

24. Haicang Liu, Shutao Li, and Leyuan Fang, Robust Object Tracking based on Principal Component Analysis and Local Sparse Representation, IEEE Transactions on Instrumentation and Measurement, 64(11): 2863-2875, 2015.SCI EI收录)

25. Shutao LiXudong Kang, and Leyuan FangJianwen HuHaitao Yin, Pixel-level image fusion: A survey of the state of the art, Information Fusion, 33: 100-112, 2017.

26. Haitao Yin, Shutao Li, and Leyuan Fang, Simultaneous image fusion and super-resolution using sparse representation, Information Fusion, 2013, 14(3): 229-240.SCI EI收录)   

27. Ting Lu, Shutao LiLeyuan FangYi Ma, and Jón Atli Benediktsson, Spectral-spatial adaptive sparse representation for hyperspectral image denoising,  IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(1): 373-385. SCI EI收录)   

28. Shuzhen Zhang, Shutao Li, Wei Fu, and Leyuan Fang Multiscale Superpixels Based Sparse Representation for hyperspectral image classification, 2017, 9(2): 28-39. SCI EI收录)  

29. Renwei Dian, Leyuan Fang, Shutao Li, Hyperspectral image super-resolution via non-local sparse tensor factorization, IEEE CVPR, 2017.