张军教授大学数学基础教学中心




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出版专著和教材
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教育经历
2005.02-2010.01，南京理工大学模式识别与智能系统专业，博士;
1999.06-2002.07，武汉大学计算数学专业，硕士;
1995.09-1999.07: 武汉大学计算数学及其应用软件专业，学士

工作经历
2002.07-2004.09,南京理工大学理学院,教学科研,助教
2004.10-20012.3,南京理工大学理学院,教学科研,讲师
2012.06-2018.06,南京理工大学理学院,教学科研,副教授
2018.07-,南京理工大学理学院,教学科研,教授



指导学科
学科专业(主)070102|计算数学 招生类别 硕士 所在学院 理学院
研究方向 图像处理的数学建模与算法


社会、学会及学术兼职
江苏省计算数学学会理事，
江苏省运筹学会理事，
中国兵工学会应用数学专业委员会委员


出版专著和教材
1、肖亮、张军、韦志辉、刘鹏飞: 稀疏图像与信号处理：小波, 曲波，形态多样性（译著）,2015.5,国防工业出版社
2、朱元国、饶玲、严涛、张军、李宝成等: 矩阵分析与计算,2010,国防工业出版社
3、许春根、张正军、张军: 计算机应用开发技术 (普通高等教育“十一五”国家级规划教材),2010,科学出版社



科研创新
1、基于分数阶差分加权的图像多步残差反馈迭代滤波方法,ZL3.6,南京理工大学,张军，肖亮，韦志辉,国家发明专利,授权


科研项目
1、???????PDE??????????????,-2011.12.31,??,???,2,1
2、????????????????????Poisson????,-2020.12.31,??,02,???,72,1
3、??????????????????????,-2014.12.31,??,02,???,25,1
4、???????????????MR????????,-2015.07.31,??,28-1,???,10,1
5、联合空谱上下文的高光谱遥感图像低秩表示分类理论与算法,-2018.12,吴泽彬,国家自然科学基金面上项目,2



教学活动


发表论文

[1] Lingyan Zhao,Jun Zhangand Zhihui Wei. Skellam distribution based adaptive two-stage non-local methods for photon-limited Poisson noisy image reconstruction. ICIP 2017.
[2] PIC 2017
[3] Zhang Jun, Wei Zhihui and Xiao Liang. Bi-component decomposition based hybrid regularization method for partly-textured CS-MR image reconstruction. Signal Processing, 2016, 128: 274–290.(SCI: 027)
[4] Zhang Zhengrong, Zhang Jun(张军,通讯作者), Wei Zhihui. Cartoon-texture composite regularization based non-blind deblurring method for partly-textured blurred images with Poisson noise. Signal Processing, 2015, 116: 127-140.(SCI: 013)
[5] Liu Pengfei, Xiao Liang andZhang Jun(张军).A fast higher degree total variation minimization method for image restoration. International Journal of Computer Mathematics, 2015: 1-43. (SCI 源)
[6] Liu Pengfei, Xiao Liang and Zhang Jun(张军). Fast Second Degree Total Variation Method for Image Compressive Sensing. PloS one, 2015, 10(9): e**. (SCI：023)
[7] Huang Nan, Zhang Jun(张军).Exponential principal component analysis and non- local means based two-stage method for photon-limited Image reconstruction. PIC2015.
[8] Zhang Jun(张军), Wei Zhihui and Liang Xiao. A fast adaptive reweighted residual-feedback iterative algorithm for fractional-order total variation regularized multiplicative noise removal of partly-textured images. Signal Processing, 2014, 98: 381–395 (SCI:035)
[9] Tang Songze, Xiao Liang, Liu Pengfeiu, Zhang Jun(张军),and Huang Lili. Edge and color preserving single image superresolution. Journal of Electronic Imaging, 2014, 23(3): 033002(12pages) (SCI:003)
[10] Chen Huasong, Yan Keding，Zhang Jun(张军)and Li Zhenhua. Simultaneous cartoon-plus-texture image deconvolution by using variational image decomposition. SPIE/COS Photonics Asia. International Society for Optics and Photonics, 2014: 92732Q-92732Q-7. (EI:20**1)
[11] Zhan, Tianming,Zhang Jun(张军),,Xiao Liang and Wei Zhihui.An improved variational level set method for MR image segmentation and bias ?eld correction. Magnetic resonance imaging,2013, 31(3): 439-47 (SCI:0003**)
[12] Wang Liqian, Xiao Liang, Zhang Jun(张军), and Wei Zhihui. New image restoration method associated with tetrolets shrinkage and weighted anisotropic total variation. Signal processing, 2013, 93(4): 661-670 (SCI:0003**)
[13] 詹天明, 肖亮, 张军, 韦志辉. 基于时空连续约束的4D 脑图像分割模型. 电子学报, 2013, 41(8): 1592-1597.(EI: 20**1)
[14] Zhang Jun(张军), Wei Zhihui and Liang Xiao. Fractional-order Iterative Regularization Method for Total Variation Based Image Denoising. Journal of Electronic Imaging, 2012, 21(4): 043005-1 - 043005-1.(SCI:0003** )
[15] Zhang Jun(张军), Wei Zhihui and Liang Xiao. Adaptive Fractional-order Multi-scale Method for Image Denoising. Journal of Mathematical Imaging and Vision，2012，43(1): 39–49 (SCI: 004)
[16] Ge Qi, Xiao Liang, Zhang Jun(张军), and Wei Zhihui. An improved region-based model with local statistical features for image segmentation, Pattern Recognition, 2012,45: 1578-1590 .(SCI:029)
[17] Ge Qi, Xiao Liang, Zhang Jun(张军), and Wei Zhihui. A Robust Patch-Statistical Active Contour Model for Image Segmentation, Pattern Recognition letter, 2012, 33: 1549-1557 (SCI:007)
[18] Zhang Jun(张军), Wei Zhihui and Xiao Liang. A Relaxed Split Bregman Iteration for Total Variation Regularized Image Denoising. 8^thInernational Conference on Intelligent Computing Theories and Applications, 2011. Lecture Notes in Artificial Intelligence, 2012,7390: 189- 192 (EI: 302)
[19] Zhang Jun(张军), Wei Zhihui. A Class of Fractional-order Multi-scale Variational Models and Alternating Projection Algorithm for Image Denoising. Applied Mathematical Modelling, 2011, 35(5): 2516-2528.(SCI:039)
[20] Ge Qi, Xiao Liang, Wei Zhihui and Zhang Jun(张军).An improved region-based model with local statistical feature. IEEE international conference on Image Processing, 2011,3341-3344. (EI:444)
[21] 詹天明,张军,韦志辉,肖亮,孙玉宝. 基于参数化互信息的脑MR图像分割与偏移场矫正模型及快速算法. 电子学报, 2011 39(12) : 2807-2812. (EI:343)
[22] 詹天明,韦志辉,张建伟,肖亮,张军. 脑MR图像分割和偏移场矫正的耦合水平集模型.中国图象图形学报, 2011,16(11):2017-2023
[23] 张军，韦志辉. SAR图像去噪的分数阶多尺度变分PDE模型及自适应算法.电子与信息学报, 2010, 32(7): 1654-1659. (EI:796)
[24] Zhang Jun(张军), Wei Zhihui. A Class of Multi-scale Models for Image Denoising in Negative Hilbert-Sobolev Spaces. Lecture Notes in Control and Information Science, Springer, 2006, 345: 584-592. (SCI:061)



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