Alan J.X. Guo

Center for Applied Mathematics, Tianjin University
No. 92 Weijin Road, Tianjin, 300072. jiaxiang.guo@tju.edu.cn

I am a lecturer with Center for Applied Mathematics, Tianjin University. At this time, my research fields mainly focus on machine learning and combinatorics.

Experience

Center for Applied Mathematics, Tianjin University

Lecturer
July 2016 - Present

Center for Combiantorics, Nankai University

Ph.D in applied mathematics
September 2011 - June 2016

School of mathematics, Jilin University

B.S. in mathematics and applied mathematics
September 2007 - June 2011

Publications

Machine Learning

  1. Guo A J X, Zhu F. Spectral-spatial feature extraction and classification by ANN supervised with center loss in hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 3, pp. 1755-1767, March 2019. arXivi:1711.07141, Code, BibTeX.
  2. Guo A J X, Zhu F. A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 9, pp. 7170-7181, Sept. 2019. arXiv:1801.10355, Code, BibTeX.
  3. Liang Y, Zhao X, Guo A J X (corr. author), Zhu F. Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field. IEEE Geoscience and Remote Sensing Letters, Accepted, 2019. arXiv:1903.06258, BibTeX.
  4. Li M, Zhu F, Guo A J X, Chen J. A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing, Remote Sensing, Accepted, 2019. BibTeX.

Combinatorics

  1. Fan N J Y, Guo A J X. On 1234-nesting Kazhdan-Lusztig R-polynomials for the symmetric group.[J]. Communications in Algebra 46.2 (2018): 644-652.
  2. Chen W Y C, Guo A J X, Guo P L, et al. s-inversion Sequences and P-Partitions of type B[J]. SIAM Journal on Discrete Mathematics 30.3 (2016): 1632-1643.
  3. Chen W Y C, Fan N J Y, Guo A J X, et al. Combinatorial proof of the inversion formula on the Kazhdan-Lusztig R-polynomials[J]. Mathematische Zeitschrift, 2014, 277(3-4): 1017-1025.

Preprints


Codes

In most cases, the codes will be pushed to Github after the corresponding paper is accepted. Until now, we have the following codes on Github:

  1. Spectral-spatial feature extraction and classification by ANN supervised with center loss in hyperspectral imagery. Github.
  2. A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification. Github.