Center for Applied Mathematics, Tianjin University

No. 92 Weijin Road, Tianjin, 300072. jiaxiang.guo@tju.edu.cn

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.

July 2016 - Present

Ph.D in applied mathematics

September 2011 - June 2016

B.S. in mathematics and applied mathematics

September 2007 - June 2011

**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.**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.- 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. - 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.

- 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. - 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. - 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.

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:

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