Han Li-College of Informatics

Name

Han Li

Title

Associate Professor

Institute

College of Informatics, Huazhong Agricultural University

Address

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

Email

lihan125@mail.hzau.edu.cn

Fax

86+02787288509

Research Interest

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

Academic activities

Education and research experience

12/2017-present	Associate Professor,, College of Informatics, Huazhong Agricultural University, Wuhan, Japan
09/2017-01/2018	Researcher,, Aoyama Gakuin University, Sagamihara, Japan
04/2014-08/2017	Project Assistant Professor, Kyushu University, Fukuoka, Japan
05/2013-03/2014	Post-doctoral Researcher, Toyohashi University of Technology, Toyohashi, Japan
09/2007-06/2012	PhD in Applied Mathematics, Beihang University, Beijing, China
09/2003-06/2007	Bachelor in Mathematics, Hubei University, Wuhan, China

Grants (Government-funded)

05/2013-08/2017	National Natural Science Foundation of China (NSFC) grant: “Fractal studies of some Diophantine approximation problems of Laurent series” (RMB 160K, 2011.01-2013.12)
01/2017-12/2020	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 Engineering，2014，6(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.