Alan J. X. Guo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Image Classification

Levenshtein Distance

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Xiang Wei, Alan J. X. Guo, Sihan Sun, Mengyi Wei, Wei Yu
Levenshtein Distance Embedding with Poisson Regression for DNA Storage. AAAI (2024)
Alan J. X. Guo, Mengyi Wei, Yufan Dai, Yali Wei, Pengchen Zhang
THEA-Code: an Autoencoder-Based IDS-correcting Code for DNA Storage. CoRR (2024)
Xiang Wei, Alan J. X. Guo, Sihan Sun, Mengyi Wei, Wei Yu
Levenshtein Distance Embedding with Poisson Regression for DNA Storage. CoRR (2023)
Alan J. X. Guo, Sihan Sun, Xiang Wei, Mengyi Wei, Xin Chen
DoDo-Code: a Deep Levenshtein Distance Embedding-based Code for IDS Channel and DNA Storage. CoRR (2023)
Linlin Hou, Haixiang Zhang, Qing-Hu Hou, Alan J. X. Guo, Ou Wu, Ting Yu, Ji Zhang
SARW: Similarity-Aware Random Walk for GCN. Intell. Data Anal. 27 (6) (2023)
Alan J. X. Guo, Cong Liang, Qing-Hu Hou
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage. CoRR (2022)
Alan J. X. Guo, Cong Liang, Qing-Hu Hou
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage. ICML (2022)
Alan J. X. Guo, Hao Qi
Using Artificial Neural Networks to Model Errors in Biochemical Manipulation of DNA Molecules. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Guanqun Zhang, Shuai Xu, Jing Li, Alan J. X. Guo
Group-based network pruning via nonlinear relationship between convolution filters. Appl. Intell. 52 (8) (2022)
Alan J. X. Guo, Fei Zhu
Improving deep hyperspectral image classification performance with spectral unmixing. Signal Process. 183 (2021)
Alan J. X. Guo, Qing-Hu Hou, Ou Wu
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm. CoRR (2021)
Yi Liang, Xin Zhao, Alan J. X. Guo, Fei Zhu
Hyperspectral Image Classification With Deep Metric Learning and Conditional Random Field. IEEE Geosci. Remote. Sens. Lett. 17 (6) (2020)
Minglei Li, Fei Zhu, Alan J. X. Guo
A Robust Multilinear Mixing Model with l2, 1 norm for Unmixing Hyperspectral Images. VCIP (2020)
Alan J. X. Guo, Fei Zhu
Boosting Deep Hyperspectral Image Classification with Spectral Unmixing. CoRR (2020)
Alan J. X. Guo, Fei Zhu
Spectral-Spatial Feature Extraction and Classification by ANN Supervised With Center Loss in Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 57 (3) (2019)
Alan J. X. Guo, Fei Zhu
A CNN-Based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 57 (9) (2019)
Yi Liang, Xin Zhao, Alan J. X. Guo, Fei Zhu
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field. CoRR (2019)
Minglei Li, Fei Zhu, Alan J. X. Guo, Jie Chen
A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing. Remote. Sens. 11 (19) (2019)
Alan J. X. Guo, Fei Zhu
A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification. CoRR (2018)
Alan J. X. Guo, Fei Zhu
Spectral-Spatial Feature Extraction and Classification by ANN Supervised with Center Loss in Hyperspectral Imagery. CoRR (2017)
William Y. C. Chen, Alan J. X. Guo, Peter L. Guo, Harry H. Y. Huang, Thomas Y. H. Liu
s-Inversion Sequences and P-Partitions of Type B. SIAM J. Discret. Math. 30 (3) (2016)