教师名录
杨云云
通讯地址:深圳市西丽深圳大学城哈工大校区G栋417室
电子邮件:yangyunyun@hit.edu.cn
联系电话:

个人简介

杨云云,博士,助理教授,硕士生导师。深圳市南山区“领航人才”。2009年9月至2010年9月和2014年3月至2014年4月在美国俄亥俄州立大学数学系(Department of Mathematics,The Ohio State University)担任访问学者。曾多次参加海外国际会议,包括ISVC 2010(美国拉斯维加斯),IEEE VCIP 2013(马来西亚古晋),CISS 2014(美国普林斯顿 普林斯顿大学),IEEE SSIAI 2014(美国圣地亚哥)等。作为主持人共承担科研项目7项,包括国家自然科学基金项目1项,中国博士后科学基金项目1项,广东省自然科学基金(博士启动)项目1项,深圳市基础研究项目1项等。目前,在图像分割领域已经发表国际学术期刊论文和国际会议论文共32篇,20篇国际期刊论文全部被SCI检索,12篇国际会议论文全部被EI检索。所发表32篇学术论文已在Web of Science上被引用累计69次,其中,最高引用次数达24次;在谷歌学术上被引用累计178次,最高引用次数达54次。

研究方向

图像处理,图像分割,医学图像分割

教育经历

09/2008~07/2012  哈尔滨工业大学 理学博士(计算数学)
09/2009~09/2010  美国俄亥俄州立大学 联合培养博士(数学)
09/2006~07/2008  哈尔滨工业大学 理学硕士(计算数学)
09/2002~07/2006  哈尔滨理工大学 理学学士(信息与计算科学)

研究与工作经历

08/2015~至今  助理教授 哈尔滨工业大学深圳研究生院 理学院
09/2012~03/2015  博士后 哈尔滨工业大学深圳研究生院 基础科学与人文学院
09/2009~09/2010  访问学者 俄亥俄州立大学 数学系 美国

专业资质与学术兼职

08/2015~至今  国际期刊IEEE Transactions on Image Processing评审人
05/2015~至今  国际期刊IEEE Transactions on Biomedical Engineering评审人
05/2012~至今  国际期刊IEEE Transactions on Medical Imaging评审人
04/2015~至今  国际期刊Computers and Mathematics with Applications评审人
03/2014~至今  国际期刊International Journal of Pattern Recognition and Artificial Intelligence评审人
05/2014~至今  国际期刊The Scientific World Journal评审人

科研项目

2018.01-2020.12  深圳市引进人才科研启动经费,300万,主持人
2015.09-2021.07  哈尔滨工业大学深圳研究生院新教师科研项目,3万,主持人
2018.06 -2020.06  哈尔滨工业大学(深圳)本科《计算方法》课程建设项目,2.5万,主持人
2017.03-2020.02  深圳市基础研究项目,项目编号:JCYJ20160505175141489,43万,主持人(排名1/5)
2014.01-2016.12  国家自然科学基金,项目编号:61301208,25万,主持人(排名1/7)
2013.05-2014.09  中国博士后科学基金,项目编号:2013M531018,5万,主持人(排名1/3)
2013.10-2015.10  广东省自然科学基金(博士启动),项目编号:S2013040016230,3万,主持人(排名1/6)
2013.01-2016.12  国家自然科学基金,项目编号:11271100,40万,主要参与人(排名5/9)
2012.01-2013.12  哈尔滨工业大学科研创新基金,项目编号:HIT.NSRIF.2012065,5万,主要参与人(排名5/5)
2011.06-2013.05  哈尔滨工业大学科研创新基金,项目编号:HIT.NSRIF.2011006,5万,主要参与人(排名7/8)
2010.01-2012.12  黑龙江省自然科学基金,项目编号:A200909,4万,主要参与人(排名7/7)

科研成果及奖励

2017  深圳市南山区“领航人才”

2015  深圳市高层次专业(后备级)人才

论文及著作

[1] YunyunYang*, Wenjing Jia, Boying Wu, Simultaneous segmentation and correction model for color medical and natural images with intensity inhomogeneity, The Visual Computer, Accepted on 26 February, 2019. (SCI, IF: 1.398)

[2] Yunyun Yang*, Ruofan Wang, Chong Feng, A New Method for Simultaneous Moderate Bias Correction and Image Segmentation, IET Image Processing, Accepted on 2 January, 2019. (SCI, IF: 1.472)

[3] Yunyun Yang*, Wenjing Jia , Yunna Yang , Multi-Atlas Segmentation and Correction Model with Level Set Formulation for 3D Brain MR Images, Pattern Recognition, https://doi.org/10.1016/j.patcog.2019.01.031. Available online 29 January 2019. (SCI JCR Q1, IF: 4.341)

[4] Yunyun Yang*, Wenjing Jia, Xiu Shu, Boying Wu, Level Set Formulation Based on Edge and Region Information with Application to Accurate Lesion Segmentation of Brain Magnetic Resonance Images, Journal of Optimization Theory and Applications, Accepted on 22 November, 2018, Proofs ready for review on 8 December, 2018; 1-19. https://doi.org/ 10.1007/s10957-018-01451-1. (JCR Q2, IF: 1.412)

[5] Yunyun Yang*, Yunna Yang, Shenghua Zhong, Accurate and robust active contour model for brain MR image segmentation and correction, Mathematical Methods in the Applied Sciences, Article published in Early View on 11 December, 2018; 1-14. (JCR Q2, IF: 1.149)

[6] Yunyun Yang*, Dongcai Tian, Boying Wu, A fast and reliable noise-resistant medical image segmentation and bias field correction model, Magnetic Resonance Imaging, 54, 15-31, 2018. (JCR Q2, IF: 2.874)

[7] Yunyun Yang*, Dongcai Tian, Wenjing Jia, Xiu Shu, Boying Wu, Split Bregman method based level set formulations for segmentation and correction with application to MR images and color images, Magnetic Resonance Imaging, 57: 50-67, 2019. (JCR Q2, IF: 2.874)

[8] Yunyun Yang*, Sichun Ruan, Boying Wu, Efficient segmentation and correction model for brain MR images with level set framework based on basis functions, Magnetic Resonance Imaging, 54:249-264, 2018. (JCR Q2, IF: 2.874)

[9] Yunyun Yang*, Xuxu Qin, Boying Wu, Fast and accurate compressed sensing model in magnetic resonance imaging with median filter and split Bregman method, IET Image Processing, 13(1): 1-8, 2019. (SCI, IF: 1.472)

[10] Yunyun Yang*, Dongcai Tian, Boying Wu, Efficient and Robust Segmentation and Correction Model for Medical Images, IET Image Processing, Accepted on 28 August, 2018. (SCI, IF: 1.472)

[11] Yunyun Yang*, Xuxu Qin, Boying Wu, Median Filter Based Compressed Sensing Model with Application to MR Image Reconstruction, Mathematical Problems in Engineering, Volume 2018, Article ID 8316194. (SCI, IF: 1.156)

[12] Jiaxin Wu, Sheng-hua Zhong, Jianmin Jiang, Yunyun Yang, A Novel Clustering Method for Static Video Summarization, Multimedia Tools and Applications, 76(7), 9625-9641, 2017. (SCI) (Web of science: 3 cites. Google scholar: 15 cites)

[13] Yunyun Yang*, Yi Zhao, Boying Wu, Split Bregman Method for Minimization of Fast Multiphase Image Segmentation Model for Inhomogeneous Images, Journal of Optimization Theory and Applications, 166(1), 285-305, 2015. (SCI, IF:1.396)(Web of science: 2 cites. Google scholar: 6 cites)

[14] Yunyun Yang*, Yi Zhao, Boying Wu, Hongpeng Wang, A Fast Multiphase Image Segmentation Model for Gray Images, Computers & Mathematics with Applications, 67(8), 1559-1581, 2014. (SCI, JCR Q1, IF:2.062)(Web of science: 5 cites. Google scholar: 9 cites)

[15] Yunyun Yang*, Yi Zhao, Boying Wu. Efficient Active Contour Model for Multiphase Segmentation with Application to Brain MR Images, International Journal of Pattern Recognition and Artificial Intelligence, 27(1), 1355001-1-28, 2013. (SCI, IF:0.856)( Web of science: 1 cites. Google scholar: 5 cites)

[16] Yunyun Yang*, Boying Wu. Split Bregman Method for Minimization of Improved Active Contour Model Combining Local and Global Information Dynamically, Journal of Mathematical Analysis and Applications, 389(1), 351-366 , 2012. (SCI, JCR Q1, IF:1.233)(Web of science: 10 cites. Google scholar: 22 cites)

[17] Yunyun Yang*, BoyingWu. A New and Fast Multiphase Image Segmentation Model for Color Images, Mathematical Problems in Engineering, Volume 2012, Article ID 494761, 2012. (SCI, IF:1.077)(Web of science: 8 cites. Google scholar: 12 cites)

[18] Yunyun Yang*, BoyingWu. Fast Multiphase Image Segmentation Model for Images with Inhomogeneity, Journal of Electronic Imaging,21(1), 013015, 2012. (SCI, IF:1.024)(Web of science: 1 cites. Google scholar: 6 cites)

[19] Yunyun Yang*, BoyingWu. Convex Image Segmentation Model Based on Local and Global Intensity Fitting Energy and Split Bregman Method, Journal of Applied Mathematics, Volume 2012, Article ID 692589, 2012. (SCI, IF:0.735)(Web of science: 7 cites. Google scholar: 21 cites)

[20] Boying Wu, Yunyun Yang*, Local- and Global-Statistics-Based Active Contour Model for Image Segmentation, Mathematical Problems in Engineering, Volume 2012, Article ID 791958, 2012. (SCI, IF:1.077) (通讯作者导师第一作者) (Web of science: 8 cites. Google scholar: 27 cites)

会议论文及发表演说

[1] Yunyun Yang*, Wenjing Jia, Dongcai Tian, Improved Active Contour Model for Multi-Phase MR Image Segmentation and Bias Field Correction, 2019 the 4th International Conference on Multimedia and Image Processing (ICMIP 2019), Kuala Lumpur , Malaysia, January 19-21, 2019. (EI)

[2] Yunyun Yang*, Yunna Yang, Xuxu Qin, An accurate and efficient MR image reconstruction model, The 11th International Conference on Digital Image Processing (ICDIP 2019), Guangzhou, China, May 10-13, 2019. (EI)

[3] Yunyun Yang*, Wenjing Jia, Xiu Shu, Efficient Level Set Formulation for Segmentation and Correction with Application to Medical Images, The 11th International Conference on Digital Image Processing (ICDIP 2019), Guangzhou, China, May 10-13, 2019. (EI)

[4] Yunyun Yang*, Sichun Ruan, Xuxu Qin, Dongcai Tian, Boying Wu, A New and Fast Bias Correction and Segmentation Model with Application to Human Brain MR Images, 2018 3rd International Conference on Communication, Image and Signal Processing (CCISP 2018), 16-18, Nov, 2018, Sanya, China. (EI)

[5] Yunyun Yang*, Xuxu Qin, Sichun Ruan, Dongcai Tian, A New Compressed Sensing Model Based on Median Filter with Application to Reconstruct Brain MR Images, 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP 2018), 13-15, July 2018, Shenzhen, China. (EI)

[6] Yunyun Yang*, Xiu Shu, Shenghua Zhong, Active Contour Model Combining Local and Global Information Dynamically with Application to Segment Brain MR Images, 2017 International Conference on Biometrics Engineering and Application (ICBEA 2017), ACM International Conference Proceedings Series, v Part F128052, p 45-49, April 21-23, 2017, Hong Kong. (EI)

[7] Yunyun Yang*, Yi Zhao, Boying Wu, Hongpeng Wang, A Note on Convex Image Segmentation Model Based on Local and Global Intensity Fitting Energy, The IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI 2014), pp: 149-152, doi: 10.1109/SSIAI.2014.6806051, San Diego, California, USA, Apr. 6-8, 2014. (EI)(0 cites)

[8] Yunyun Yang*, Yi Zhao, Boying Wu, Hongpeng Wang, Unsupervised Active Contour Model for Multiphase Inhomogeneous Image Segmentation, The 48th Annual Conference on Information Sciences and Systems (CISS 2014), pp: 1-5, doi: 10.1109/CISS.2014.6814164, Princeton, New Jersey, USA, Mar. 19-21, 2014. (EI)(0 cites)

[9] Yunyun Yang*, Yi Zhao, Boying Wu, Improved Segmentation Model Combining Region and Edge Information for Inhomogeneous Images, The 48th Annual Conference on Information Sciences and Systems (CISS 2014), pp: 1-5, doi: 10.1109/CISS.2014.6814165, Princeton, New Jersey, USA, Mar. 19-21, 2014. (EI)(0 cites)

[10] Yunyun Yang*, Yi Zhao, Efficient Active Contour Model Based on Vese-Chan Model and Split Bregman Method, IEEE International Conference on Visual Communications and Image Processing (VCIP 2013), pp: 1-6, doi: 10.1109/VCIP.2013.6706370, Kuching, Sarawak, Malaysia, Nov. 17-20, 2013. (EI)(0 cites)

[11] Yunyun Yang*, Yi Zhao, Boying Wu, Improved Vese-Chan Model for Fast Image Segmentation Based on Split Bregman Method, The Seventh International Conference on Image and Graphics(ICIG 2013), pp: 201-204, doi: 10.1109/ICIG.2013.46, Qingdao, Shandong, China, Jul. 26-28, 2013. (EI)(Web of science: 0 cites. Google scholar: 1 cite)

[12] Yunyun Yang*, Chunming Li, Chiu-Yen Kao, Stanley Osher, Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation, 6th International Symposium on Visual Computing (ISVC 2010), Volume 6454 LNCS, Part II: 117-128, Las Vegas, Nevada, USA, Nov. 29-Dec. 01, 2010. (EI)(Web of science: 24 cites. Google scholar: 54 cites)

任教和任导师经历

任教  课程名称:计算方法(中文授课) 课程学时:32 (2班共64+8=72学时) 授课时间:2019年春季学期 授课对象:2017级材料计算机机械专业本科生(135+84=219人) 课程类型:数学与自然科学基础课
课程名称:数值分析(双语授课) 课程学时:32 (2班共64学时)授课时间:2018年秋季学期 授课对象:硕士研究生(195+189=384人) 课程类型:公共课
课程名称:计算方法(中文授课) 课程学时:32 授课时间:2018年春季学期 授课对象:2016级材料计算机专业本科生(137人) 课程类型:数学与自然科学基础课
课程名称:数值分析(双语授课) 课程学时:32 (2班共64学时)授课时间:2017年秋季学期 授课对象:硕士研究生(187+180=367人) 课程类型:公共课
课程名称:数值分析(双语授课) 课程学时:32 (2班共64学时)授课时间:2016年秋季学期 授课对象:硕士研究生(192+185=377人) 课程类型:公共课
课程名称:高等数学习题课(汉语授课) 课程学时:28 授课时间:2016年秋季学期 授课对象:本科生(70人) 课程类型:公共课
课程名称:高等数学A(助课) 课程学时:80 授课时间:2016年秋季学期 授课对象:本科生(133人) 课程类型:公共课
课程名称:数值分析(双语授课) 课程学时:32 授课时间:2015年秋季学期 授课对象:硕士研究生(181人) 课程类型:公共课
课程名称:微积分(英语授课) 课程学时:32 授课时间:2015年秋季学期 授课对象:国际本科生(11人) 课程类型:必修课

任导师  2015级硕士生1名
舒秀:获得哈尔滨工业大学2018届“优秀硕士研究生”荣誉称号(银牌)和2018届“哈尔滨工业大学优秀毕业生”荣誉称号,数学学科答辩排名第一
2016级硕士生3名
阮思纯:获得哈尔滨工业大学2019届“优秀硕士研究生”荣誉称号(金牌)和2019届“哈尔滨工业大学优秀毕业生”荣誉称号,数学学科答辩排名第一
田栋才:数学学科答辩排名第二
覃绪绪:数学学科答辩排名第三
2017级硕士生3名
贾文静,杨云娜,刘旺
2018级硕士生2名
王若凡,冯翀

常年招收研究生和博士后若干名,感兴趣者可以与我邮件联系,谢谢!
其中博士后招收要求:(1)有博士学位,计算数学、应用数学等相关专业背景优先考虑;(2)发表过高水平的学术论文,能独立开展研究工作,具有较强的英文论文读写能力;(3)工作勤奋踏实,具有良好的团队合作精神。

最后更新:2019-03-12 14:20:16