教师简介

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个人信息
  • 姓名:冷成财
  • 部门:统计系-应用统计教研室
  • 职称:副教授
  • 荣誉:西北大学学术英才支持计划,博士生导师,硕士生导师,专业学位硕士生导师
  • 电子邮件:ccleng@nwu.edu.cn
  • 研究方向:


个人简介



冷成财,男,1982年8月生,山东临沂人,博士(后),副教授,博士生导师,中国人工智能学会科普委员。主持国家级省级及厅级基金10项,参与国家基金3项以及省基金3项等课题。研究方向为数据处理与统计分析、计算机视觉与模式识别等,以第一作者及合作身份发表学术论文40余篇,其中SCI收录18篇、EI收录26篇。现担任《IEEE Transactions on Image Processing》、《中国科学:信息科学》中英文版等期刊审稿人,并担任Computers and Electrical Engineering Special Issue on Medical Image Processing with Deep Learning Guest Editor (2018)。
学习经历
2008.3-2012.6 西北工业大学理学院,应用数学,理学博士
2010.9-2011.9 加拿大阿尔伯塔大学,计算机科学系,联合培养博士(国家留学基金委资助)
2005.9-2008.4 西安理工大学理学院,计算数学,理学硕士
2003.9-2005.7 临沂师范学院(临沂大学),数学与应用数学,理学学士
工作经历
2017.6-至今 西北大学数学学院,统计系,副教授,博士生导师
2017.12-2018.12 加拿大阿尔伯塔大学,计算机科学系,访问学者(国家留学基金委资助)
2013.6-2016.9 中国科学院自动化研究所,控制科学与工程,博士后
2012.7-2017.6 南昌航空大学数学与信息科学学院,讲师、副教授,硕士生导师


项目、成果、论文、奖励



  • 1.主要课题


    科研项目
    1. 主持国家自然科学基金青年项目(No. 61702251),2018.1.1-2020.12.31. (排名第一,1/5)
    2. 主持国家自然科学基金地区项目(No. 61363049),2014.1.1-2017.12.31. (排名第一,1/10) (2017年12月结题)
    3. 主持中国博士后科学基金第八批特别资助基金项目(No. 2015T80155),2015.01-2016.09. (排名第一,1/1) (2016年9月结题)
    4. 主持中国博士后科学基金第55批面上资助基金项目(No. 2014M550881),2014.1-2015.8. (排名第一,1/1) (2015年12月结题)
    5. 主持陕西省自然科学基础研究计划一般项目(面上)(No. 2018JM6030),2018.1.1-2019.12.31. (排名第一,1/5)
    6. 主持江西省自然科学基金青年项目 (No. 20161BAB212033),2016. 1-2017.12. (排名第一,1/5) (2018年12月结题)
    7. 主持江西省教育厅科学技术研究基金一般项目(No.GJJ150751),2016. 1-2017.12. (排名第一,1/5) (2017年11月结题)
    8. 主持江西省教育厅科学技术研究基金青年项目(No. GJJ14541),2014.1-2015.12. (排名第一,1/5) (2015年11月结题)




  • 2.主要成果    


    科研论文
    [1]  Chengcai Leng*, Hai Zhang, Guorong Cai, Irene Cheng, Anup Basu*, Graph regularized Lp smooth non-negative matrix factorization for data representation. IEEE/CAA Journal of Automatica Sinica, 2019, 6(2): 584-595. (ESCI/EI)
    [2]  Chengcai Leng, Hai Zhang*, Bo Li, Guorong Cai, Zhao Pei, Li He*, Local feature descriptor for image matching: A survey. IEEE Access, 2019, 7: 6424-6434. (SCI)
    [3]  Chengcai Leng, Guorong Cai*, Dongdong Yu, Zongyue Wang, Adaptive total-variation for non-negative matrix factorization on manifold. Pattern Recognition Letters, 2017, 98: 68-74. (SCI/EI)
    [4]  Chengcai Leng, Wei Xu, Irene Cheng, Anup Basu*, Graph matching based on stochastic perturbation. IEEE Transactions on Image Processing, 2015, 24(12): 4862-4875. (SCI/EI)
    [5]  Chengcai Leng, Jie Tian*, Mathematical method in optical molecular imaging. SCIENCE CHINA Information Sciences, 2015, 58(3): 031101(13). (SCI/EI)
    [6]  Chengcai Leng*, Jinjun Xiao, Min Li, Haipeng Zhang, Robust adaptive principal component analysis based on intergraph matrix for medical image registration. Computational Intelligence and Neuroscience, vol. 2015, Article ID 829528, 7 pages, 2015. (SCI/EI)
    [7] Chengcai Leng*, Dongdong Yu, Shuang Zhang, Yu An, Yifang Hu, Reconstruction method for optical tomography based on the linearized Bregman iteration with sparse regularization. Computational and Mathematical Methods in Medicine, vol. 2015, Article ID 304191, 8 pages, 2015. (SCI)
    [8]  Chengcai Leng*, Zheng Tian, Jing Li, Mingtao Ding, Image registration based on matrix perturbation analysis using spectral graph. Chinese Optics Letters, 2009, 7(11): 996-1000. (SCI/EI)
    [9]  Chengcai Leng, Zhen Chen, Guorong Cai, Irene Cheng, Zhihui Xiong, Jie Tian, Anup Basu*, Total variation constrained graph regularized NMF for medical image registration. 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2016), Bordeaux, France, pp. 1-5, July 11-12, 2016. (EI)
    [10] Chengcai Leng, Wei Xu, Irene Cheng, Zhihui Xiong, Anup Basu*, Normalized Gaussian distance graph cuts for image segmentation. IEEE International Symposium on Multimedia (ISM 2015), Miami, Florida USA, pp. 523-528, December 14-16, 2015. (EI)
    [11]  冷成财*, 张海鹏, 张聪炫, 陈震, 于乃功. 基于尺度、方向和距离约束的改进SIFT配准方法. 纳米技术与精密工程, 2017, 15(1): 36-43.
    [12] Zhao Pei, Yawen Li, Miao Ma, Jun Li, Chengcai Leng, Xiaoqiang Zhang, Yanning Zhang*, Occluded-object 3D reconstruction using camera array synthetic aperture imaging. Sensors, 2019, 19(3), 607. (SCI/EI)
    [13] Guorong Cai, Songzhi Su*, Chengcai Leng, Yundong Wu, Feng Lu, A robust transform estimator based on residual analysis and its application on UAV aerial images. Remote Sensing, 2018, 10(2), 291. (SCI/EI)
    [14] Li He, Yi Li, Xiang Zhang, Chuangbin Chen, Lei Zhu, Chengcai Leng* Incremental spectral clustering via fastfood features and its application to stream image segmentation. Symmetry, 2018, 10(7), 272. (SCI)
    [15] Guorong Cai, Songzhi Su*, Chengcai Leng, Jipeng Wu, Yundong Wu, Shaozi Li, Cover patches: A general feature extraction strategy for spoofing detection. Concurrency and Computation-Practice and Experience, 2018, e4641, 1-19. (SCI)
    [16] Bo Li*, Chunyuan Lu, Zhijie Wen, Chengcai Leng, Xiuping Liu, Locality-constrained nonnegative robust shape interaction subspace clustering and its applications. Digital Signal Processing, 2017, 60: 113-121. (SCI/EI)
    [17] Shuang Zhang, Chengcai Leng, Hongbo Liu, Kun Wang*, Jie tian*, Fast in vivo bioluminescence tomography using a novel pure optical imaging technique.  Journal of Innovative Optical Health Sciences, 2017, 10(3): 1750003(12). (SCI/EI)
    [18] Shuang Zhang, Kun Wang*, Hongbo Liu, Chengcai Leng, Yuan Gao, Jie Tian*, Reconstruction method for in vivo bioluminescence tomography based on the Split Bregman iterative and surrogate functions. Molecular Imaging and Biology, 2017, 19(2): 245-255. (SCI)
    [19] Dongdong Yu, Feng Yang, Caiyun Yang, Chengcai Leng, Jian Cao, Yining Wang, Jie Tian*, Fast rotation-free feature-based image registration using improved N-SIFT and GMM-based parallel optimization. IEEE Transactions on Biomedical Engineering, 2016, 63(8): 1653-1664. (SCI/EI)
    [20] Yifang Hu, Jie Liu*, Chengcai Leng, Yu An, Shuang Zhang, Kun Wang*, Lp regularization for bioluminescence tomography based on the Split Bregman method. Molecular Imaging and Biology, 2016, 18(6): 830-837. (SCI)
    [21] Jianhong Li, Yarong Wu, Xiaonan Luo*, Chengcai Leng, Bo Li, Single image superresolution using maximizing self-similarity prior. Mathematical Problems in Engineering, vol. 2015, Article ID 312423, 10 pages, 2015. (SCI/EI)
    [22] 李波, 卢春园, 冷成财, 金连宝. 基于局部图拉普拉斯约束的鲁棒低秩表示聚类方法. 自动化学报, 2015, 41(11): 1971-1980. (EI)




  • 3.获奖情况    


    2018年获陕西省科学技术奖励二等奖(第四完成人,4/5)
    2018年获陕西高等学校科学技术奖励一等奖(第三完成人,3/4)
    2017年入选西北大学“青年学术英才支持计划”
    2016年博士后出站被博管会考核优秀
    2016年度学院考核优秀