个人信息

姓　　名: 邵文泽 性　　別: 男 导师类型: 硕士生导师
技术职称: 副教授 电子邮箱: shaowenze@njupt.edu.cn
学术型硕士招生学科: (081002)信号与信息处理
专业型硕士招生类别(领域): (085400)电子信息

个人简介:


邵文泽，1981.10，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，原南京军区，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；

2013年，南京市第十届自然科学优秀学术论文；

2012年，领跑者5000—中国精品科技期刊顶尖学术论文；

2009年，江苏省优秀博士论文；

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（**）：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；

2019.01-2020.12，主持南京理工大学高维信息智能感知与系统教育部重点实验室开放课题（JYB201903）
；

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）；

2015.01-2017.12，主持国家自然科学基金青年项目（**）；

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（007）；

2013.07-2016.06，主持江苏省自然科学基金青年项目（BK**）；

2013.08-2015.12，主持江苏省高校自然科学研究面上项目（13KJB510022）；

2014.01-2014.12，主持南京邮电大学自然科学研究基金项目（NY213013）；

2013.01-2013.12，主持南京邮电大学自然科学研究基金项目（NY212039）；

2012.06-2015.07，主持南京邮电大学引进人才启动基金项目（NY212014）；





学术服务：

南京邮电大学硕士生导师（2013/09-至今）；

国际期刊《IEEETransactions on Signal Processing》(IEEE)审稿人；

国际期刊《IEEETransactions on Image Processing》(IEEE)审稿人；

国际期刊《IEEETransactions on Multimedia》(IEEE)审稿人；

国际期刊《IEEETransactions on Neural Networks and Learning Systems》(IEEE)审稿人；

国际期刊《IEEETransactions on Cybernetics》(IEEE)审稿人；

国际期刊《IEEE Journal ofSelected Topics in Signal Processing》(IEEE)审稿人；

国际期刊《IEEE SignalProcessing Letters》(IEEE)审稿人；

国际期刊《IEEE Access》(IEEE)审稿人；

国际期刊《SignalProcessing》(Elsevier)审稿人；

国际期刊《Neurocomputing》(Elsevier)审稿人；

国际期刊《PatternRecognition》(Elsevier)审稿人；

国际期刊《Multimedia Toolsand Applications》(Elsevier)审稿人；

国际期刊《DigitalSignal Processing》(Elsevier)审稿人；

国际期刊《InformationSciences》(Elsevier)审稿人；

国际期刊《NeuralNetworks》(Elsevier)审稿人；

国际期刊《Expert Systemswith Applications》(Elsevier)审稿人；

国际期刊《Biomedical SignalProcessing and Control》(Elsevier)审稿人；

国际期刊《Multidimensionalsystems and Signal Processing》(Springer)审稿人；

国际期刊《Signal, Imageand Video Processing》(Springer)审稿人；

国际期刊《MultimediaTools and Applications》(Springer)审稿人；

国际期刊《MultimediaSystems》(Springer)审稿人；

国际期刊《TheVisual Computer》(Springer)审稿人；

国际期刊《Journalof Electronic Imaging》(SPIE)审稿人；

国际期刊《KSIITransactions on Internet and Information Systems》审稿人；

国际期刊《Communications in Statistics - Simulation andComputation》审稿人；

国内期刊《CAAITransactions on Intelligence Technology》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；

















研究领域:


个人主页：

www.researchgate.net/profile/WZ_Shao


学术方向：

- Computational imaging（计算成像）

-Computer vision （计算机视觉）

- Variational methods（变分法）

- Statistical learning（统计学习）

- AIR Deep learning（深度学习）



应用方向：

- 面向监测智能的信息重建与目标识别（视频监控、医学探测等）

- 面向自控智能的目标感知与场景理解（无人车、无人机等）

- 面向领域智能的数据分析与价值挖掘（工业、商业等）




发表论文:
- Wen-Ze Shao, Yuan-Yuan Liu, Lu-Yue Ye, Li-Qian Wang, Qi Ge, Bing-KunBao, Hai-Bo Li. DeblurGAN+: Revisiting blind motion deblurring usingconditional adversarial networks. Signal Processing, 2020, 168: 107338. (SCI)
- Wen-Ze Shao, Yun-Zhi Lin, Yuan-Yuan Liu, Li-Qian Wang, Qi Ge, Bing-KunBao, Hai-Bo Li. Gradient-based discriminative modeling for blind imagedeblurring. Neurocomputing, 2020, 413: 305-327. (SCI)
- Wen-Ze Shao, Jing-Jing Xu, Long Chen, Qi Ge, Li-Qian Wang, Bing-KunBao, Hai-Bo Li. On potentials of regularized Wasserstein generative adversarialnetworks for realistic hallucination of tiny faces. Neurocomputing, 2019, 364:1-15. (SCI)
- Wen-Ze Shao, Qi Ge, Li-Qian Wang, Yun-Zhi Lin, Hai-Song Deng, Hai-BoLi. Nonparametric blind super-resolution using adaptive heavy-tailed priors.Journal of Mathematical Imaging and Vision, 2019, 61(6): 885-917. (SCI)

- Wen-Ze Shao, Feng Wang, Li-Li Huang. Adapting total generalizedvariation for blind image restoration. Multidimensional Systems and SignalProcessing, 2019, 30: 857-883. (SCI)
- Wen-Ze Shao, Bing-Kun Bao, Hai-Bo Li. Enhancing blurredlow-resolution images via exploring the potentials of learning-basedsuper-resolution. Int. Journal of Pattern Recognition and Artificial Intelligence,2019, 33(7), p. **. (SCI)

- Qi Ge, Xiao-Yuan Jing, Fei Wu, Zhi-HuiWei, Liang Xiao, Wen-Ze Shao, Dong Yue, Hai-Bo Li. Structure-based low-rankmodel 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-BoLi, Zhi-Hui Wei. Regularized motion blur-kernel estimation with adaptive sparseimage prior learning. Pattern Recognition, 2016, 51: 402-424. (SCI)

- Wen-Ze Shao, Qi Ge, Hai-Song Deng, Zhi-HuiWei, Hai-Bo Li. Motion deblurring using nonstationary image modeling. Journalof 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 visualcommunication and image representation, 2015, 33: 42-59. (SCI)

- Wen-Ze Shao, Qi Ge, Hai-Song Deng, Zhi-HuiWei, Hai-Bo Li. A unified optimization perspective to single/multi-observationblur-kernel estimation with applications to camera-shake deblurring andnonparametric blind super-resolution. Journal of Mathematical Imaging andVision, 2016, 54(2): 216-239. (SCI)

- Wen-Ze Shao, Hai-Song Deng, Zhi-Hui Wei. Aposterior mean approach for MRF-based spatially adaptive multi- frame imagesuper-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 Bayesiansuper-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-l2minimization 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 forlow-rank matrix recovery. Mathematical Problems in Engineering, 2014, 656074, 8pages. (SCI)

- Wen-Ze Shao, Hai-Song Deng, Zhi-Hui Wei.An efficient and effective l0-l2 minimization algorithm for compres- siveimaging. 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. OpticalEngineering, 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 engineeringdesign. Engineering with Computers, 2012, 28(2): 161-178. (SCI)

- Wen-Ze Shao, Zhi-Hui Wei. Edge-and-cornerpreserving regularization for image interpolation and reconstruction. Image andVision Computing, 2008, 26(12): 1591-1606. (SCI)

- Wen-Ze Shao, Zhi-Hui Wei. Corner shockfiltering 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 GaussianKriging models. Quality and Reliability Engineering International, 2012, 28(4):455-466. (SCI)

- Hai-Song Deng, Wen-Ze Shao, Yi-Zhong Ma. ABayesian approach to Kriging metamodeling for computer experiments. Journal ofAdvanced Mechanical Design, Systems, and Manufacturing, 2012, 6(4): 404-419.(SCI)

- Qi Ge, Chuan-Song Li, Wen-Ze Shao, Hai-BoLi. 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 processmodels using a noninformative prior. Communications in Statistics: Theory andMethod, 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 ofcompressed sensing: review and perspectives. Journal of Image and Graphics ofChina（中国图象图形学报）, 2012, 17(1): 1-12.

- Wen-Ze Shao, Zhi-Hui Wei. Research onfiltering behavior of structure tensor based image modeling approaches. ActaElectronica Sinica（电子学报）, 2011, 39(7):1556-1562. (EI)

- Wen-Ze Shao, Zhi-Hui Wei. Multi-framesuper-resolution reconstruction based on anisotropic Markov random fieldmodeling. Acta Electronica Sinica（电子学报）, 2009, 36(6): 1256-1236. (EI)

- Wen-Ze Shao, Zhi-Hui Wei. Local geometrydriven image magnification and super-resolution. Journal of Image and Graphicsof China（中国图象图形学报）, 2008, 13(07): 1235-1243.

- Wen-Ze Shao, Zhi-Hui Wei. Super-resolutionreconstruction based on generalized Huber-MRF image modeling. Journal ofSoftware（软件学报）, 2007, 18(10): 2434-2444. (EI)

- Wen-Ze Shao, Zhi-Hui Wei. A unifieddesigning 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. Bilateraldigital total variation and image filtering. Journal of Image and Graphics ofChina（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 Gaborperception dictionary（自动化学报）. Acta Automatica Sinica, 2008, 34(11): 1379-1387. (EI)



报考指南：

Welcomeall the students join us if

- you are interested in artificialintelligence, computational photography, computer vision, and machine learning;

- you are willing to work on practicalimage and vision problems in the real-world life;

- you are highly motivated and skilled inmathematics and perhaps statistics;

- you are familiar with C++/MATLAB/Pythonor 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.



未来可期：
特别欢迎自主独立、勤于钻研、热爱生活的广大同学加入本组，从事人工智能、信号处理、计算机科学、统计数学的交叉研究与应用实践，经历动力与压力共同驱动的3年硕士旅程后，未来之路光明可期。



联系方式：
shaowenze@njupt.edu.cn