所属学科专业：控制科学与工程
导师简介：
张凯兵，1975年生，男，模式识别与智能系统专业工学博士，信息与通信工程学科博士后，悉尼科技大学访问****。担任IEEE Signal Processing Letters、Information Sciences、IEEE Transactions on Cybernetics Pattern Recognition、IEEE Trans. on Image Processing等多个国际期刊的审稿人。近5年来，在IEEE TIP、IEEE TNNLS、Neurocomputing、Signal Processing(Elsevier)、Applied Soft Computing、Applied Intelligence、CVPR和ICIP等国际期刊和会议发表论文30余篇，Google Scholar引用1800余次，ESI高被引论文4篇。承担国家自然科学基金面项目2项、中国博士后科学基金特等和一等资助各1项、陕西省自然科学基金重点研发计划1项。获陕西省科学技术奖一等奖，教育部高等学校科学研究优秀成果奖二等奖，陕西省高等学校科学技术一等奖。获评2014年度西安电子科技大学优秀博士论文，2018年度ACM西安“新星奖”（排名第一）和ACM中国“新星奖”提名，2019年度“香港桑麻奖教金”, 2019-2020年度西安工程大学“师德先进个人”。曾指导学生获全国大学生软件设计大赛一等奖，第十三届中国研究生电子设计竞赛西北赛区三等奖，指导3名研究生获得西安工程大学优秀硕士论文，3名研究生获得研究生创新基金项目。
主要研究方向：影像超分辨重建及质量评价、计算机视觉检测与分析、跨模态人脸合成与识别、智能视频分析与理解、深度学习、跨域自适应迁移学习等。
近年来主持的主要科研项目：
基于分治策略与增量字典学习的图像超分辨重建方法研究(国家自然科学基金面上项目, 2020.1—2023.12）
基于多视角特征集成学习的图像超分辨重建方法（陕西省自然科学基础研究计划重点项目，2018.1—2020.12）
资源受限环境下实时超分辨重建方法研究(国家自然科学基金面上项目, 2015.1—2018.12）
基于多线性映射关系学习的实时高质量图像超分辨重建(博士后基金特别资助, 2014.1—2016.6)
基于稀疏一致性字典学习超分辨重建方法研究(中国博士后基金一等资助，2014.1—2015.12）
基于多视角特征学习的双低油菜缺素智能诊断方法(省自然科学基金, 2016.1—2018.12)
多尺度相似性冗余结构学习超分辨重建方法研究(省自然科学基金, 2012.1—2014.12)
基于非局部正则化和字典学习超分辨重建方法(省教育厅中青年项目, 2012.1—2013.12)
近年来主要科研成果：
层次化超分辨重建方法，2020年度陕西高等学校科学技术奖，一等奖(排序1).
基于广义稀疏表示的图像超分辨重建方法，2019年度陕西省电子学会自然科学奖一等奖(排序1).
2018年度ACM西安“新星奖”奖（排序1）.
复杂纺织品缺陷图像分析及产品开发，2018年陕西省科学技术，一等奖（排序8）
异构可视媒体的内容分析与可信服务研究，2015年度陕西省科学技术，一等奖（排序9）
2014年西安电子科技大学优秀博士论文.
临地空间信息栅格网理论与关键技术, 2013年度高等学校科学研究优秀成果奖（科学技术），二等奖（排序7）.
视频监控序列中基于画像的人脸检索，2011年度陕西省高等学校科学技术奖，二等奖（排序7）.
发表论文：
期刊论文：
Kaibing Zhang(张凯兵), Danni Zhua, Jie Li, et al.Learning stacking regression for no-referencesuper-resolution image quality assessment,Signal Processing, 178, 2021:107771.(SCI, IF=4.384/2019)
Kaibing Zhang(张凯兵), Huake Wang H , Wei Liu, et al. An efficient semi-supervised manifold embedding for crowd counting.Applied Soft Computing, 2020:106634.(SCI, IF=5.472/2019)
Dongdong Zheng,Kaibing Zhang (张凯兵)*,Jian Lu,et al.Active discriminative cross-domain alignment for low-resolution face recognition.IEEE Access, 2020,8:97503-97515.(SCI, IF=3.745/2019)
Kaibing Zhang (张凯兵)*, Shuang Luo,MinqiLi, et al.Learning stacking regressors for single image super-resolution.AppliedIntelligence, 2020. (SCI, IF=3.325/2019)
Huake Wang,Kaibing Zhang (张凯兵)*, Zebin Su, et al. Graph clustering-based crowd counting with very limitedlabeledsamples.Electronics Letters, 2020.DOI：10.1049/el.2020.0746. (SCI, IF=1.316/2019)
Kaibing Zhang (张凯兵)，Yan, Yadi，Pengfei Li，Junfeng Jing, Zhen Wang, Zenggang Xiong,Fabric defect detection using saliency of multi-scale local steering kernel,IET Image Processing,2020,14(7):1265-1272.(SCI, IF=1.995/2019)
Minqi Li, Richard Yida Xu, Jing Xin, Kaibing Zhang*(通讯作者),Junfeng Jing,Fast non-rigid points registration with cluster correspondences projection,Signal Processing,Signal Processing,2020,170:324-337. (SCI:008，IF=IF=4.384/2019)
Kaibing Zhang (张凯兵), Zhen Wang, Jie Li, Xinbo Gao, and ZenggangXiong,Learning recurrent residual regressors for single imagesuper-resolution,Signal Processing,2019,154:324-337. (SCI:008，IF=4.384/2019)
Kaibing Zhang (张凯兵), Yadi Yan, Pengfei Li, Junfeng Jing, Xiuping Liu, Zhen Wang.Fabric defect detection using salience metric for color dissimilarity and positional aggregation,IEEE Access,2018,6:49170-49181,(SCI:001，IF=3.745/2019)
Kaibing Zhang (张凯兵), Jie Li, Haijun Wang, Xiuping Liu, and Xinbo Gao*, Learning local dictionaries and similarity structures for single image super-resolution,Signal Processing, 2018, 142: 231–243 (SCI: 025, IF=4.384/2019)
Kaibing Zhang (张凯兵), Dacheng Tao,Xinbo Gao,Xuelong Li*, and Jie Li , Coarse-to-fine learning for single image super-resolution,IEEE Transactions Neural Networks and Learning Systems,2017, 28(5):1109-1122. (SCI:008，IF= 8.793 /2019)
Kaibing Zhang (张凯兵), Jie Li, ZenggangXiong, Xiuping Liu, and Xinbo Gao*, Optimized multiple linear mappings for single image super-resolution,Optics Communications,2017,404,169-176. (SCI: 023, IF= 2.125/2019)
Kaibing Zhang(张凯兵)，XinboGao，Jie Li，Hongxing Xia.Single image super-resolution using regularization of non-local steering kernel regression,Signal Processing, 2016,123: 53-63. (SCI:006, IF=4.384/2019)
Kaibing Zhang (张凯兵), Dacheng Tao*, Xinbo Gao, Xuelong Li, and ZenggangXiong, Learning multiple linear mappings for efficient single image super-resolution,IEEE Transactions on Image Processing,2015, 24(3) 846–861. (SCI:002，IF= 9.34 /2017)
Kaibing Zhang (张凯兵), Xinbo Gao, Dacheng Tao, and Xuelong Li*,Single image super-resolution with multi-scale similarity learning,IEEETransactionsonNeural Networks and Learning Systems,2013, 24(10): 1648-1659. (SCI: 012, EI: 20**4, IF= 8.793 /2019)
Kaibing Zhang (张凯兵), Xinbo Gao, Dacheng Tao, and Xuelong Li*,Single image super–resolution with non–local means and steering kernel regression.IEEE Transactions on Image Processing,2012, 21(11):4544–4556.(SCI:005, EI:794, IF=9.34 /2019)
Kaibing Zhang (张凯兵),Guangwu Mu, Yuan Yuan*, Xinbo Gao, and Dacheng Tao,Video superresolution with 3D adaptive normalized convolution,Neurocomputing,2012, 94:140–151. (SCI:014, EI: 441, IF= 3.241/2017)
Xinbo Gao,Kaibing Zhang (张凯兵),Dacheng Tao, and Xuelong Li*,Joint learning for single image super–resolution via a coupled constraint,IEEE Transactions on Image Processing,2012，21,2:2：469–480. (SCI: 004, EI: 691, IF=9.34 /2019)
Xinbo Gao,Kaibing Zhang (张凯兵),Dacheng Tao, and Xuelong Li,Single image super–resolution with sparse neighbor embedding,IEEE Transactions on Image Processing,2012, 21(7):3194–3205. (SCI: 007, EI: 413, IF=9.34 /2019)
Kaibing Zhang (张凯兵),Xinbo Gao, Xuelong Li*, and Dacheng Tao, Partially supervised neighbor embedding for example–based image super–resolution,IEEE Journal of Selected Topics in Signal Processing,2011, 5:(2): 230–239. (SCI: 003, EI: 082, IF=4.981/2019)
李春茂，张凯兵*，刘薇，卢健，熊曾刚.基于典型相关分析特征融合的行人再识别方法[J].光电子.激光，2020, 31(5):71-79.
张凯兵*，郑冬冬，景军锋.低分辨人脸识别综述[J].计算机工程与应用, 2020,25(2):14-24.
郑冬冬,张凯兵*.多流形耦合映射下的低分辨人脸识别[J].西安工程大学学报, 2019,33(6):666-672.
闫亚娣,张凯兵*，李鹏飞,王珍,朱丹妮.基于可控高斯核的色织物疵点检测方法[J].计算机工程与应用, 2019,33(6):666-672.
张凯兵*,朱丹妮,王珍,闫亚娣.超分辨图像质量评价综述[J].计算机工程与应用,2019, 55(4):31-40+47.
张凯兵,王珍.优化的Adaboost回归超分辨重建[J].计算机工程与应用, 2019,55(20):159-163+169.
张凯兵，李春生，章爱群.基于HSV空间颜色直方图的油菜叶片缺素诊断[J].农业工程学报, 2016, 32(19):179-187.(EI：20**1)
会议论文：
Kaibing Zhang*,Danni Zhu,Junfeng Jing,Xinbo Gao.Learning a cascade regression for no-reference super-resolution image quality assessment,Proc. IEEE International Conference on Image Processing(ICIP), 22-25 Sept. 2019,pp. 450-453,Taibai,2019. (EI: 20**2)
Kaibing Zhang (张凯兵)*,Xinbo Gao, Dacheng Tao, and Xuelong Li，Multi–scale dictionary for single image super–resolution.Proc. Computer Vision and Pattern Recognition (CVPR),Jun.16–21, Rhode Island, USA, pp1114–1121.2012.(EI：215, Acceptance rate= 24%)
Kaibing Zhang (张凯兵)*,Xinbo Gao, Dacheng Tao, and Xuelong Li, Image super-resolution via non-local steering kernel regression regularization.Proc. IEEE International Conference on Image Processing(ICIP), Sep.15–18, pp. 943 – 946, Melbourne, Australia, 2013. (EI: 20**3)
Guangwu Mu *, Xinbo Gao,Kaibing Zhang (张凯兵),Xuelong Li, and Dacheng Tao, Single image super resolution with high resolution dictionary.Proc. IEEE International Conference on Image Processing(ICIP),Sep.11–14, pp 1141–1144, Brussels, Belguim, 2011. (EI: 838)
Kaibing Zhang (张凯兵)*, Jun Lu, Handwritten character recognition via sparse representation and multiple classifiers combination.Proc. IEEE International Conference on Information Theory and Information Security (ICITIS), pp. 1139-1142, 2010. ( EI：711)
Chunman Yan,Kaibing Zhang (张凯兵), Yunping Qi, Image denoising using modifed nonsubsampled Contourlet transform combined with Gaussian scale mixtures model,Proc. International Conference on Intelligence Science and Big Data Engineering(IScIDE), 2015. (EI: 20**8)
Kaibing Zhang (张凯兵)*,Hongxing Xia, Haijun Wang, Chunman Yan, Xinbo Gao, Single image super-resolution with one-pass algorithm and local neighbor regression,Proc. International Conference on Communication Technology,2016,930-935.(EI: 20**2)
联系方式：**，zhangkaibing@xpu.edu.cn或xihua_0169@163.com