Dayong Tian


http://teacher.nwpu.edu.cn/en/dayongt

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The basic information

Dayong Tian

School of Electronics and Information

Postgraduate

Doctor

Lecturer

Education Experience

 2006.8-2010.7
Xidian University 
Bachelor of Science
 2011.8-2014.3
Xidian University 
Master of Engineering
 2014.8-2017.8
University of Technology, Sydney 
Doctor of Philosophy 

Scientific Research

I will continually update this list...

As the school does not offer a ftp service, if you need the source codes or manuscripts, please email me.

    1. Dayong Tian, Maoguo Gong, Deyun Zhou, Jiao Shi and Yu Lei, “Interval Type-2 Fuzzy Logic Semi-supervised multimodal hashing”, IEEE Trans. Cybernetics, in press. [PDF][MATLAB code]

      1. Dayong Tian and Dacheng Tao, “Global hashing system for fast image search”, IEEE Trans. Image Processing,26(1), Jan. 2017, pp. 79-89. [PDF][MATLAB code]   

        1. Dayong Tian and Dacheng Tao, “Coupled learning for facial deblur”, IEEE Trans. Image Processing, 25(2), Feb. 2016, pp. 961-972. [PDF] 

          1. Dayong Tian, Maoguo Gong and Linzhi Su, “Generalized correlation for shape alignment”, Information Science, 363(1), Oct. 2016, pp. 40-51. [PDF][MATLAB code] 

            1. Maoguo Gong, Dayong Tian,  Linzhi Su and Licheng Jiao, “An efficient bi-convex fuzzy variational image  segmentation method”, Information  Science, 293(1), Feb. 2015, pp. 351-369. 

              1. Jingjing Ma, Dayong Tian,  Maoguo Gong and Licheng Jiao, “Fuzzy clustering with non-local information  for image segmentation”, International  Journal of Machine Learning and Cybernetics5(6), Dec. 2014,  pp. 845-859. 

                1. Maoguo Gong, Shengmeng Zhao, Licheng Jiao, Dayong Tian and Shuang Wang, “A novel coarse-to-fine scheme for automatic  image registration based on SIFT and mutual information”, IEEE Trans. Geoscience and Remote Sensing,  52(7), Jul. 2014, pp. 4328-4338. 

                  1. Qing Cai, Lijia Ma, Maoguo Gong and Dayong Tian, “A survey on network community detection based on  evolutionary computation”, International  Journal of Bio-Inspired Computation, 8(2), 2016, pp. 84-98.  




                   


                  General Introduction