科研奖励：

[1]. 基于空谱联合结构化特征的高光谱图像分析方法与应用技术，2019年度江苏省科学技术奖二等奖，江苏省人民政府，2020.03，排名第九

[2]. 高性能图像与视频超分辨支撑理论与应用技术, 2013年度江苏省科学技术奖三等奖，江苏省人民政府，2014.01，排名第三

教学奖励：

[1]. 南京理工大学“优秀共产党员标兵”，南京理工大学，2021.06

[2]. 以数筑基，一体多翼——数学助力理工科创新型人才培养的探索与实践，2020年南京理工大学教学成果一等奖，2020.09，排名第四

[3]. 互连网+创客数学创新人才培养模式改革与实践，2018年南京理工大学教学成果二等奖，南京理工大学，2019.01, 排名第一

[4]. 2018年度南京理工大学优秀研究生授课教师，南京理工大学，2019.01

[5]. 2017年度南京理工大学本科学科竞赛优秀指导教师，南京理工大学，2018.01

[6]. 2017-2018年度南京理工大学优秀教师，南京理工大学，2018.09

[7]. 南京理工大学优秀本科毕业设计(论文)（2016，2017），指导教师

         [8]. 2019年度南京理工大学优秀硕士论文, 2019.06，指导教师

[1] Jun Zhang, Linyan Zhao and Zhihui Wei. Poisson-Skellam distribution based regularization conditional random field method for photon-limited Poisson image denoising. Signal Processing, 2021,188: 108165（SCI）

[2] Runbao Zha, Jun Zhang(通讯作者) and Zhihui Wei. Multi-Components Low Dimensional Manifold Model for Photon limited Poisson Noisy Image Reconstruction. 2019 IEEE International Conference on Image Processing (ICIP), 2019: 1134-1137

[3] Ruifeng Hu and Jun Zhang(通讯作者). Accelerate Randomized Low Dimensional Manifold Method for Image Reconstruction. 2020 IEEE International Conference on Progress in Informatics and Computing, 2020:124-128

[4] Jiajun Fu and Jun Zhang(通讯作者). Fast Grouped High-order SVD Method for Poisson Noise Removal in Video Sequential Images. 2020 IEEE International Conference on Progress in Informatics and Computing, 2020:119-123

[5] Zhang Jun, Liu Haijiao and Wei Zhihui. Regularized variational dynamic stochastic resonance method for enhancement of dark and low-contrast image. Computers and Mathematics with Applications, 2018, 76(4): 774-787. (15 August 2018)（SCI）

[6] Wu Huapeng, Zhang Jun (通讯作者) and Wei Zhihui. High Resolution Similarity Directed Adjusted Anchored Neighborhood Regression for Single Image Super-Resolution.  IEEE Access 6 (2018): 25240-25247.

[7] Zhao Lingyan, Zhang Jun(通讯作者) and Wei Zhihui. Skellam Distribution Based Adaptive Two-stage Non-local Methods for Photon-limited Poisson Noisy Image Reconstruction，2017 IEEE International Conference on Image Processing (ISBN: 978-1-5090-2175-8), 2017.09

[8] Liu Haijiao, Jun Zhang(通讯作者) . Filtering Combined Dynamic Stochastic Resonance for Enhancement of Dark and Low-contrast Images. Proceedings of 2017 IEEE International Conference on Progress in Informatics and Computing (ISBN: 978-1-5386-1978-0), 2017.12

[9] 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: 000379706500027)

[10] 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: 000356980400013)

[11] Huang Nan, Zhang Jun(通讯作者). Exponential principal component analysis and non- local means based two-stage method for photon-limited Image reconstruction, Proceedings of 2015 IEEE International Conference on Progress in Informatics and Computing ( 978-1-4673-9088-0), 2015.11

[12] 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:000331595000035)

[13] Zhang Jun, 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: 000314506800007 )

[14] Zhang Jun, 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: 000302346000004)

[15] Zhang Jun(张军), Wei Zhihui and Xiao Liang. A Relaxed Split Bregman Iteration for Total Variation Regularized Image Denoising. 8^th Inernational Conference on Intelligent Computing Theories and Applications, 2011. Lecture Notes in Artificial Intelligence, 2012,7390: 189- 192 (EI: 20123415354302)

[16] 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: 000287615300039)

[17] 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: 20103213128796)

[18] 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: 000240385300061)

其他合作论文

[1] Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei. Pyramidal Dense Attention Networks for Single Image Super-resolution.IET Image Processing, 2022:1-11(SCI)

[2] Xiangxiang Qiu, Jun Zhang and Zhihui Wei. Exponential Family Graph Signal Recovery under Structural Constraint. 2020 IEEE International Conference on Progress in Informatics and Computing, 2020:129-134

[3] Hanyang Li, Hongyi Liu, Jun Zhang, Zebin Wu and Zhihui Wei. Non-Convex Relaxation Low-Rank Tensor Completion for Hyper-spectral Image Recovery, 2019 IEEE International Geoscience and Remote Sensing Symposium, 1935-1938

[4] Xiaofei Zhao, Hongyi Liu, Jun Zhang, et al. A Spectral Mapping Based Intensity Modulation for Pan-Sharpening. 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019: 843-846

[5] Li  Min, et al. Prediction of Lung Motion From Four-Dimensional Computer Tomography (4DCT) Images Using Bayesian Registration and Trajectory Modelling.  IEEE Access 6 (2018): 2803-2811.

[6] Liu Pengfei, Xiao Liang, Zhang Jun and Bushra Naz. Spatial-hessian-feature guided variational model for pan-sharpening. IEEE Transactions on Geoscience and Remote Sensing, 2016, (SCI:000373004000028)

[7] Liu Pengfei, Xiao Liang and Zhang Jun. A fast higher degree total variation minimization method for image restoration. International Journal of Computer Mathematics, 2015: 1-43. (SCI:000377224200010)

[8] Liu Pengfei, Xiao Liang and Zhang Jun(张军). Fast Second Degree Total Variation Method for Image Compressive Sensing. PloS one, 2015, 10(9): e0137115. (SCI：000361043100023)

[9] Fu Xujia, Huang Nan, Zhang Jun(张军). Improved algorithm for image TV regularization restoration model based on texture and contrast compensation, Proceedings of 2015 IEEE International Conference on Progress in Informatics and Computing ( 978-1-4673-9088-0), 2015.11

[10] Tang Songze, Xiao Liang, Liu Pengfeiu, Zhang Jun, and Huang Lili. Edge and color preserving single image superresolution. Journal of Electronic Imaging, 2014, 23(3): 033002(12pages) (SCI: 000338984500003)

[11] Chen Huasong, Yan Keding，Zhang Jun 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: 20150700527291)

[12] Zhan, Tianming, Zhang Jun,, 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:000316827400015)

[13] Wang Liqian, Xiao Liang, Zhang Jun, and Wei Zhihui. New image restoration method associated with tetrolets shrinkage and weighted anisotropic total variation. Signal processing, 2013, 93(4): 661-670 (SCI: 000315316400005)

[14] 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: 20134917057661)

[19] Ge Qi, Xiao Liang, Zhang Jun, and Wei Zhihui. An improved region-based model with local statistical features for image segmentation, Pattern Recognition, 2012,45: 1578-1590 .(SCI: 000300459000029)

[20] Ge Qi, Xiao Liang, Zhang Jun, and Wei Zhihui. A Robust Patch-Statistical Active Contour Model for Image Segmentation, Pattern Recognition letter, 2012, 33: 1549-1557 (SCI: 000307134100007)

[21] 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: 20120514730444)

[22] 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: 20120514736343)

[23] 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