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张凯兵

作者: 时间:2016-10-25 点击数:

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,悉尼科技大学访问学者。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:

  1. 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)

  2. 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)

  3. 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)

  4. 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)

  5. 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)

  6. 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)

  7. 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)

  8. 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:

  9. 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).

  10. 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).

  11. 2018年度ACM西安“新星奖”奖(排序1).

  12. 复杂纺织品缺陷图像分析及产品开发,2018年陕西省(排序8)

  13. 异构可视媒体的内容分析与可信服务研究,(排序9)

  14. 2014年西安电子科技大学优秀博士论文.

  15. 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).

  16. 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:

  17. 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)

  18. 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)

  19. 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)

  20. 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)

  21. 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)

  22. 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)

  23. Minqi Li, Richard Yida Xu, Jing Xin, Kaibing Zhang*(通讯作者),Junfeng Jing,,Signal Processing,Signal Processing,2020,170:324-337. (SCI:000401981800008,IF=IF=4.384/2019)

  24. 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:000401981800008,IF=4.384/2019)

  25. 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:000445476900001,IF=3.745/2019)

  26. 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: 000412611900025, IF=4.384/2019)

  27. 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:000401981800008,IF= 8.793 /2019)

  28. 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: 000412617900023, IF= 2.125/2019)

  29. 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:000371838800006, IF=4.384/2019)

  30. 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:000348458000002,IF= 9.34 /2017)

  31. 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: 000325981400012, EI: 20134216849774, IF= 8.793 /2019)

  32. 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:000310140700005, EI:20124415619794, IF=9.34 /2019)

  33. 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:000307087000014, EI: 20122815227441, IF= 3.241/2017)

  34. 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: 000300559700004, EI: 20120514729691, IF=9.34 /2019)

  35. 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: 000305577600007, EI: 20122615154413, IF=9.34 /2019)

  36. 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: 000288458100003, EI: 20111313857082, IF=4.981/2019)

  37. 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.

  38. 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.

  39. 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.

  40. 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.

  41. 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.

  42. 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.

  43. 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:20163902855601)

    会议论文:

  44. 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: 20195207921382)

  45. 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:20124015484215, Acceptance rate= 24%)

  46. 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: 20141117461493)

  47. 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: 20120514729838)

  48. 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:20110813683711)

  49. 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: 20155301740838)

  50. 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: 20161502215082)

    联系方式:18049533751,zhangkaibing@xpu.edu.cn或xihua_0169@163.com