邵文泽简介
导师照片
性    别:
学    位: 工学博士
职   称:
所在单位: 通信与信息工程学院
导师类别: 硕士生导师

个人简介 

邵文泽,1981年10月生,江苏赣榆人。

教育经历:
2004/09-2008/07,南京理工大学,模式识别与智能系统专业,工学博士(导师:韦志辉教授);
2003/09-2004/08,南京理工大学,应用数学专业,理学硕士(提前攻博);
1999/09-2003/06,南京理工大学,信息与计算科学专业,理学学士;

工作经历:
2016/09--至今, 南京邮电大学,通信与信息工程学院,副教授;
2014/05-2015/06,Technion-以色列理工学院,计算机系,博士后(合作导师:Michael Elad教授);
2012/01-2016/08,南京邮电大学,通信与信息工程学院,讲师;
2003/06-2011/12,南京军区,73061部队,军官;

荣誉奖励:
2013年,南京邮电大学通信与信息工程学院南都奖教金(2等奖);
2013年,南京市第十届自然科学优秀学术论文(3等奖):《Multi-Parseval frame-based nonconvex sparse image deconvolution》;
2012年,领跑者5000—中国精品科技期刊顶尖学术论文 (F5000):《压缩感知基本理论:回顾与展望》;
2009年,江苏省优秀博士论文:《基于图像建模理论的多幅图像正则化超分辨率重建算法研究》;
2008年,南京理工大学优秀博士论文;
2006年,江苏省高校研究生科技创新计划;
2003年,国防科工委委属高校优秀毕业生;

基金项目:
2018.01-2021.12,主持国家自然科学基金面上项目(61771250):甚低分辨率目标图像的非参数盲超分模型与快速算法研究;
2017.08-2019.07,主持通信与网络技术国家工程研究中心开放课题(TXKY17008):基于图像大数据的甚低分辨率目标盲超分深度模型与算法研究;
2015.01-2017.12,主持国家自然科学基金青年项目(61402239)(结题中);
2015.01-2016.12,主持南京理工大学江苏省社会安全图像与视频理解重点实验室开放课题(30920140122007)(已结题);
2013.07-2016.06,主持江苏省自然科学基金青年项目(BK20130868)(已结题);
2013.08-2015.12,主持江苏省高校自然科学研究面上项目(13KJB510022)(已结题);
2014.01-2014.12,主持南京邮电大学自然科学研究基金项目(NY213013)(已结题);
2013.01-2013.12,主持南京邮电大学自然科学研究基金项目(NY212039)(已结题);
2012.06-2015.07,主持南京邮电大学引进人才启动基金项目(NY212014)(已结题);

学术服务:
南京邮电大学硕士生导师(2013/09-至今);
国际期刊《IEEE Transactions on Signal Processing》(IEEE)审稿人;
国际期刊《IEEE Transactions on Image Processing》(IEEE)审稿人;
国际期刊《IEEE Transactions on Neural Networks and Learning Systems》(IEEE)审稿人;
国际期刊《IEEE Access》(IEEE)审稿人;
国际期刊《Multidimensional systems and Signal Processing》(Springer)审稿人;
国际期刊《Signal, Image and Video Processing》(Springer)审稿人;
国际期刊《Journal of Electronic Imaging》(SPIE)审稿人;
国际期刊《Pattern Recognition》(Elsevier)审稿人;
国际期刊《Multimedia Tools and Applications》(Elsevier)审稿人;
国际期刊《Information Sciences》(Elsevier)审稿人;
国际期刊《Neural Networks》(Elsevier)审稿人;
国际期刊《KSII Transactions on Internet and Information Systems》(TIIS)审稿人;
国内期刊《中国邮电高校学报(英文版)》审稿人;
国内期刊《电子与信息学报》审稿人;
国内期刊《计算机工程与科学》审稿人;

学术主页:
https://www.researchgate.net/profile/WZ_Shao

研究方向及主要成果 

研究领域:
Computational imaging(计算成像)
Computer vision (计算机视觉)
Variational optimization(变分优化)
Machine learning(机器学习)

研究方向:
贝叶斯深度学习模型与算法: Bayesian deep learning, potentials of GAN, variational framework plugged in deep architectures, etc
非参数盲反卷积模型与算法: camera shake removal, object motion deblurring, nonparametric blind super-resolution, etc
超低清目标识别模型与算法: face recognition and person re-ID at a large distance (detection, joint deblurring & hallucination, etc)
视觉能见度恢复模型与算法: image defogging/dehazing, image deraining/desnowing, night-to-daytime conversion, etc

发表论文:
- Qi Ge, Xiao-Yuan Jing, Fei Wu, Zhi-Hui Wei, Liang Xiao, Wen-Ze Shao, Dong Yue, Hai-Bo Li. Structure-based low-rank model with graph nuclear norm regularization for noise removal. IEEE Trans. Image Processing, 2017, 26(7): 3098-3112. (SCI)
- Chang-Xing Yang, Wen-Ze Shao, Li-Li Huang. Boosting normalized sparsity regularization for blind image deconvolution. Signal, Image and Video Processing, 2017 , 11 (4) : 1-8. (SCI)
- Wen-Ze Shao, Hai-Song Deng, Qi Ge, Hai-Bo Li, Zhi-Hui Wei. Regularized motion blur-kernel estimation with adaptive sparse image prior learning. Pattern Recognition, 2016, 51: 402-424. (SCI)
- Wen-Ze Shao, Qi Ge, Hai-Song Deng, Zhi-Hui Wei, Hai-Bo Li. Motion deblurring using nonstationary image modeling. Journal of Mathematical Imaging and Vision, 2015, 52(2): 234-248. (SCI)
- Wen-Ze Shao, Hai-Bo Li, Michael Elad. Bi-l0-l2-norm regularization for blind motion deblurring. Journal of visual communication and image representation, 2015, 33: 42-59. (SCI)
- Wen-Ze Shao, Qi Ge, Hai-Song Deng, Zhi-Hui Wei, Hai-Bo Li. A unified optimization perspective to single/multi-observation blur-kernel estimation with applications to camera-shake deblurring and nonparametric blind super-resolution. Journal of Mathematical Imaging and Vision, 2016, 54(2): 216-239. (SCI)
- Wen-Ze Shao, Hai-Song Deng, Zhi-Hui Wei. A posterior mean approach for MRF-based spatially adaptive multi- frame image super-resolution. Signal, Image and Video Processing, 2015, 9(2): 437-449. (SCI)
- Wen-Ze Shao, Hai-Song Deng, Zhi-Hui Wei. Kullback-Leibler divergence based composite prior modeling for Bayesian super-resolution. Journal of Scientific Computing, 2014, 60(1): 60-78. (SCI)
- Wen-Ze Shao, Hai-Song Deng, Zhi-Hui Wei. The magic of split augmented Lagrangians applied to K-frame based l0-l2 minimization image restoration. Signal, Image and Video Processing, 2014, 8(5): 975-983. (SCI)
- Wen-Ze Shao, Qi Ge, Zong-Liang Gan, Hai-Song Deng, Hai-Bo Li. A generalized robust minimization framework for low-rank matrix recovery. Mathematical Problems in Engineering, 2014, 656074, 8 pages. (SCI)
- Wen-Ze Shao, Hai-Song Deng, Zhi-Hui Wei. An efficient and effective l0-l2 minimization algorithm for compres- sive imaging. Imaging Science Journal, 2014, 62(8): 423-436. (SCI)
- Wen-Ze Shao, Hai-Song Deng, Zhi-Hui Wei. Multi-Parseval frame based nonconvex sparse image deconvolution. Optical Engineering, 2012, 51(2): 067008-1-12. (SCI)
- Wen-Ze Shao, Hai-Song Deng, Yi-Zhong Ma, Zhi-Hui Wei. Extended Gaussian Kriging for computer experiments in engineering design. Engineering with Computers, 2012, 28(2): 161-178. (SCI)
- Wen-Ze Shao, Zhi-Hui Wei. Edge-and-corner preserving regularization for image interpolation and reconstruction. Image and Vision Computing, 2008, 26(12): 1591-1606. (SCI)
- Wen-Ze Shao, Zhi-Hui Wei. Corner shock filtering and regularized image magnification. Journal of Electronic Imaging, 2008, 17(1): 013014-1-013014-11. (SCI)
- Hai-Song Deng, Wen-Ze Shao, Yi-Zhong Ma, Zhi-Hui Wei. Bayesian metamodeling for computer experiments using the Gaussian Kriging models. Quality and Reliability Engineering International, 2012, 28(4): 455-466. (SCI)
- Hai-Song Deng, Wen-Ze Shao, Yi-Zhong Ma. A Bayesian approach to Kriging metamodeling for computer experiments. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2012, 6(4): 404-419. (SCI)
- Qi Ge, Chuan-Song Li, Wen-Ze Shao, Hai-Bo Li. Hybrid active contour model with structured feature for image segmentation. Signal Processing, 2015, 108: 147-158. (SCI)
- Hai-Song Deng, Yi-Zhong Ma, Wen-Ze Shao, Yi-Liu Tu. A Bayesian metamodeling approach for Gaussian stochastic process models using a noninformative prior. Communications in Statistics: Theory and Method, 2012, 41(5): 829- 850. (SCI)
- Wen-Ze Shao, Michael Elad. Simple, accurate, and robust nonparametric blind super-resolution. Y.-J. Zhang (Ed.): ICIG 2015, Part III, Lecture Notes in Computer Science, 9219: 333–348, 2015. (EI)
- Wen-Ze Shao, Zhi-Hui Wei. Theory of compressed sensing: review and perspectives. Journal of Image and Graphics of China(中国图象图形学报), 2012, 17(1): 1-12.
- Wen-Ze Shao, Zhi-Hui Wei. Research on filtering behavior of structure tensor based image modeling approaches. Acta Electronica Sinica(电子学报), 2011, 39(7):1556-1562. (EI)
- Wen-Ze Shao, Zhi-Hui Wei. Multi-frame super-resolution reconstruction based on anisotropic Markov random field modeling. Acta Electronica Sinica(电子学报), 2009, 36(6): 1256-1236. (EI)
- Wen-Ze Shao, Zhi-Hui Wei. Local geometry driven image magnification and super-resolution. Journal of Image and Graphics of China(中国图象图形学报), 2008, 13(07): 1235-1243.
- Wen-Ze Shao, Zhi-Hui Wei. Super-resolution reconstruction based on generalized Huber-MRF image modeling. Journal of Software(软件学报), 2007, 18(10): 2434-2444. (EI)
- Wen-Ze Shao, Zhi-Hui Wei. A unified designing framework for nonlinear digital filters and behavior analysis. Chinese Journal of Computers(计算机学报), 2007, 3(1): 91-102. (EI)
- Wen-Ze Shao, Zhi-Hui Wei. Bilateral digital total variation and image filtering. Journal of Image and Graphics of China(中国图象图形学报), 2007, 12(7): 1178-1185.
- Hai-Song Deng, Yi-Zhong Ma, Wen-Ze Shao. Bayesiasn metamodeling for Kriging utilizing noninformative hyper prior. Journal of Systems Engineering and Electronics(系统工程与电子技术), 2010, 32(11): 2341-2345. (EI)
- Hai-Song Deng, Yi-Zhong Ma, Wen-Ze Shao. Variable selection for regression splines using hierarchical sparseness prior. Journal of Systems Engineering and Electronics(系统工程与电子技术), 2010, 32(12): 2725-2729. (EI)
- Yu-Bao Sun, Liang Xiao, Zhi-Hui Wei, Wen-Ze Shao. Sparse representations of images by a multi-component Gabor perception dictionary(自动化学报). Acta Automatica Sinica, 2008, 34(11): 1379-1387. (EI)

报考指南:
Welcome all the students join us if
- you are interested in artificial intelligence, computational photography, computer vision, and machine learning;
- you are willing to work on practical image and vision problems in the real-world life;
- you are highly motivated and skilled in mathematics and perhaps statistics;
- you are familiar with C++/MATLAB/python or perhaps OpenCV;
- you are from Electrical Engineering(电气工程), Computer Science(计算机科学), Electronic Information Engineering(电子信息工程), Automation(自动化), Computational Mathematics(计算数学), Applied Statistics(应用统计), etc.

联系方式 

移动电话:15380915535
单位电话:025-83492445
住宅电话:
Email   :shaowenze@njupt.edu.cn

备注 

特别欢迎自主独立、勤于思考、有志于从事人工智能与统计数学交叉研究的同学报考。