Alan J.X. Guo

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

I am an Associate Professor 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

Associate Professor
July 2021 - Present

Center for Applied Mathematics, Tianjin University

Lecturer
July 2016 - June 2021

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. Wei X#, Guo A J X#*, Sun S H, Wei M Y, Yu W. Levenshtein Distance Embedding with Poisson Regression for DNA Storage, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024).
  2. Guo A J X, Liang C, Hou Q-H. Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage, International Conference on Machine Learning (ICML 2022), PMLR, 2022: 8095-8108. PMLR. Code, BibTeX.
  3. Zhang G, Xu S, Li J, Guo A J X*. Group-based network pruning via nonlinear relationship between convolution filters, Applied Intelligence, 2022. doi.
  4. Guo A J X, Qi H. Using Artificial Neural Networks to Model Errors in Biochemical Manipulation of DNA Molecules, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021. doi, Code, BibTeX.
  5. Guo A J X, Zhu F. Improving Deep Hyperspectral Image Classification Performance with Spectral Unmixing, Signal Processing, 183 (2021): 107949. arXiv:2004.00583, Code, BibTeX.
  6. Zhao X, Liang Y, Guo A J X*, Zhu F. Classification of small-scale hyperspectral images with multi-source deep transfer learning, Remote Sensing Letters, vol. 11, no. 4, pp. 303-312, 2020. BibTeX.
  7. Liang Y, Zhao X, Guo A J X*, Zhu F. Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field. IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 6, pp. 1042-1046, Jun. 2020. arXiv:1903.06258, BibTeX.
  8. 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, Sep. 2019. arXiv:1801.10355, Code, BibTeX.
  9. 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, Mar. 2019. arXivi:1711.07141, Code, BibTeX.
  10. Li M, Zhu F, Guo A J X, Chen J. A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing, Remote Sensing, 11(19),2188, 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.

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. Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage. Github.
  2. Using Artificial Neural Networks to Model Errors in Biochemical Manipulation of DNA Molecules. Github.
  3. Spectral-spatial feature extraction and classification by ANN supervised with center loss in hyperspectral imagery. Github.
  4. A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification. Github.
  5. Improving Deep Hyperspectral Image Classification Performance with Spectral Unmixing. Github.