Han Li

Release time:May 27, 2020Edit:Browse times:

Personal Information

Basic Information



Han Li


Associate   Professor


College of Informatics, Huazhong Agricultural   University


No.1   Shizishan Street, Hongshan District, Wuhan 430070, China





Research Interest

Applied Mathematics (Learning Theory, Pattern   Recognition, deep learning,Optimization, Imaging Processing)

Academic activities


Education and research experience


Associate     Professor,,     College of Informatics, Huazhong Agricultural University, Wuhan, Japan


Researcher,, Aoyama Gakuin University,     Sagamihara, Japan


Project     Assistant Professor, Kyushu University, Fukuoka, Japan


Post-doctoral     Researcher,     Toyohashi University of Technology, Toyohashi, Japan


PhD     in Applied Mathematics, Beihang University, Beijing, China


Bachelor     in Mathematics, Hubei University, Wuhan, China


Grants (Government-funded)


National     Natural Science Foundation of China (NSFC) grant: “Fractal studies of some     Diophantine approximation problems of Laurent series” (RMB 160K, 2011.01-2013.12)


National     Natural Science Foundation of China (NSFC) grant: “Applications of fractal     methods and sequence complexity in the study of DNA regulatory elements     predictions” (RMB 480K, 2017.01-2020.12)


Representative publications*for corresponding authors, # for first authors

[1] Hong Chen#, Yingjie Wang, Biqin   Song, Han Li*, Debiased magnitude-preserving ranking: Learning rate and bias   characterization, Jaurnal of Mathematical Analysis and Applications, 2020,   486: 123881.

[2] Hong Chen#; Han Li*; Zhibin Pan*;   Error analysis of distributed least squares ranking, Neurocomputing, 2019,   361: 222-228.

[3] Han Li#, Leonardo Gutierrez, Hiroyuki   Toda, Osamu Kuwazuru, Wenli Liu, Yoshihiko Hangai, Masakazu Kobayashi,Rafael Batres*,   Identification of material properties using nanoindentation and surrogate   modeling, International Journal of Solids and Structures, 2016, 81: 151-159.

[4] Han Li#, Leonardo Gutierrez, Masakazu   Kobayashi, Osamu Kuwazuru, Hiroyuki Toda, Rafael Batres*, A numerical   evaluation of an infill sampling criterion in artificial neural network-based   optimization, International Journal of Computer Theory and Engineering20146(3): 272-277.

[5] Dirong Chen*,Han Li#; Convergence rates of   learning algorithms by random projection, Applied and Computational Harmonic   Analysis, 2014, 37(1): 36-51.

[6] Dirong Chen,Han Li#*; On the performance of   regularized regression learning in Hilbert space, Neurocomputing, 2012,95:   41-47.



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