Spectral-spatial feature extraction and classification by ANN supervised with center loss in hyperspectral imagery AJX Guo, F Zhu
IEEE Transactions on Geoscience and Remote Sensing 57 (3), 1755-1767, 2018
47 2018 A CNN-based spatial feature fusion algorithm for hyperspectral imagery classification AJX Guo, F Zhu
IEEE Transactions on Geoscience and Remote Sensing 57 (9), 7170-7181, 2019
42 2019 Classification of small-scale hyperspectral images with multi-source deep transfer learning X Zhao, Y Liang, AJX Guo, F Zhu
Remote Sensing Letters 11 (4), 303-312, 2020
24 2020 A graph regularized multilinear mixing model for nonlinear hyperspectral unmixing M Li, F Zhu, AJX Guo, J Chen
Remote Sensing 11 (19), 2188, 2019
18 2019 Group-based network pruning via nonlinear relationship between convolution filters G Zhang, S Xu, J Li, AJX Guo
Applied Intelligence 52 (8), 9274-9288, 2022
16 2022 Hyperspectral image classification with deep metric learning and conditional random field Y Liang, X Zhao, AJX Guo, F Zhu
IEEE Geoscience and Remote Sensing Letters 17 (6), 1042-1046, 2019
14 2019 Improving deep hyperspectral image classification performance with spectral unmixing AJX Guo, F Zhu
Signal Processing 183, 107949, 2021
13 2021 WYC Chen, AJX Guo, PL Guo, HHY Huang, TYH Liu
SIAM Journal on Discrete Mathematics 30 (3), 1632-1643, 2016
10 2016 A Robust Multilinear Mixing Model with l2,1 norm for Unmixing Hyperspectral Images M Li, F Zhu, AJX Guo
2020 IEEE International Conference on Visual Communications and Image …, 2020
8 2020 Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage AJX Guo, C Liang, QH Hou
International Conference on Machine Learning, 8095-8108, 2022
3 2022 DoDo-code: a deep Levenshtein distance embedding-based code for IDS channel and DNA storage AJX Guo, S Sun, X Wei, M Wei, X Chen
arXiv preprint arXiv:2312.12717, 2023
1 2023 Levenshtein Distance Embedding with Poisson Regression for DNA Storage X Wei, AJX Guo, S Sun, M Wei, W Yu
The 38th Annual AAAI Conference on Artificial Intelligence, 2023
1 2023 A Latent Logistic Regression Model with Graph Data H Zhang, Y Deng, AJX Guo, QH Hou, O Wu
arXiv preprint arXiv:2210.05218, 2022
1 2022 Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm AJX Guo, QH Hou, O Wu
arXiv preprint arXiv:2104.01848, 2021
1 2021 Inspired by human olfactory system: Deep-learning-assisted portable chemo-responsive dye-based odor sensor array for the rapid sensing of shrimp and fish freshness C Jiang, AJX Guo, Y Li, Y Wang, J Sun, Z Chen, X Chen, Q Ma
Chemical Engineering Journal, 149283, 2024
2024 SARW: Similarity-Aware Random Walk for GCN L Hou, H Zhang, QH Hou, AJX Guo, O Wu, T Yu, J Zhang
Intelligent Data Analysis, 1-22, 2023
2023 Using Artificial Neural Networks to Model Errors in Biochemical Manipulation of DNA Molecules AJX Guo, H Qi
IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (5 …, 2021
2021 On 1234-nesting Kazhdan–Lusztig R -polynomials for the symmetric group NJY Fan, AJX Guo
Communications in Algebra 46 (2), 644-652, 2018
2018 Combinatorial proof of the inversion formula on the Kazhdan–Lusztig WYC Chen, NJY Fan, AJX Guo, PL Guo, HHY Huang, MXX Zhong
Mathematische Zeitschrift 277 (3), 1017-1025, 2014
2014 