Alan J. X. Guo

24 papers A* 3C 1Journal 20
YearRankTypeTitle / Venue / Authors
2026 A* conf
Disturbance-based Discretization, Differentiable IDS Channel, and an IDS-Correcting Code for DNA-based Storage.
AAAI
Alan J. X. Guo, Mengyi Wei, Yufan Dai, Yali Wei, Pengchen Zhang
2025 J jnl
Efficient Transformer-based Decoder for Varshamov-Tenengolts Codes.
CoRR
Yali Wei, Alan J. X. Guo, Zihui Yan, Yufan Dai
2025 J jnl
Rethinking the Mean Teacher Strategy from the Perspective of Self-paced Learning.
CoRR
Pengchen Zhang, Alan J. X. Guo, Sipin Luo, Zhe Han, Lin Guo
2024 A* conf
Levenshtein Distance Embedding with Poisson Regression for DNA Storage.
AAAI
Xiang Wei, Alan J. X. Guo, Sihan Sun, Mengyi Wei, Wei Yu
2024 J jnl
THEA-Code: an Autoencoder-Based IDS-correcting Code for DNA Storage.
CoRR
Alan J. X. Guo, Mengyi Wei, Yufan Dai, Yali Wei, Pengchen Zhang
2023 J jnl
DoDo-Code: a Deep Levenshtein Distance Embedding-based Code for IDS Channel and DNA Storage.
CoRR
Alan J. X. Guo, Sihan Sun, Xiang Wei, Mengyi Wei, Xin Chen
2023 J jnl
Levenshtein Distance Embedding with Poisson Regression for DNA Storage.
CoRR
Xiang Wei, Alan J. X. Guo, Sihan Sun, Mengyi Wei, Wei Yu
2023 J jnl
SARW: Similarity-Aware Random Walk for GCN.
Intell. Data Anal.
Linlin Hou, Haixiang Zhang, Qing-Hu Hou, Alan J. X. Guo, Ou Wu, Ting Yu, Ji Zhang
2022 A* conf
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage.
ICML
Alan J. X. Guo, Cong Liang, Qing-Hu Hou
2022 J jnl
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage.
CoRR
Alan J. X. Guo, Cong Liang, Qing-Hu Hou
2022 J jnl
Group-based network pruning via nonlinear relationship between convolution filters.
Appl. Intell.
Guanqun Zhang, Shuai Xu, Jing Li, Alan J. X. Guo
2022 J jnl
Using Artificial Neural Networks to Model Errors in Biochemical Manipulation of DNA Molecules.
IEEE ACM Trans. Comput. Biol. Bioinform.
Alan J. X. Guo, Hao Qi
2021 J jnl
Improving deep hyperspectral image classification performance with spectral unmixing.
Signal Process.
Alan J. X. Guo, Fei Zhu
2021 J jnl
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm.
CoRR
Alan J. X. Guo, Qing-Hu Hou, Ou Wu
2020 C conf
A Robust Multilinear Mixing Model with l2, 1 norm for Unmixing Hyperspectral Images.
VCIP
Minglei Li, Fei Zhu, Alan J. X. Guo
2020 J jnl
Boosting Deep Hyperspectral Image Classification with Spectral Unmixing.
CoRR
Alan J. X. Guo, Fei Zhu
2020 J jnl
Hyperspectral Image Classification With Deep Metric Learning and Conditional Random Field.
IEEE Geosci. Remote. Sens. Lett.
Yi Liang, Xin Zhao, Alan J. X. Guo, Fei Zhu
2019 J jnl
A CNN-Based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification.
IEEE Trans. Geosci. Remote. Sens.
Alan J. X. Guo, Fei Zhu
2019 J jnl
A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing.
Remote. Sens.
Minglei Li, Fei Zhu, Alan J. X. Guo, Jie Chen
2019 J jnl
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field.
CoRR
Yi Liang, Xin Zhao, Alan J. X. Guo, Fei Zhu
2019 J jnl
Spectral-Spatial Feature Extraction and Classification by ANN Supervised With Center Loss in Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Alan J. X. Guo, Fei Zhu
2018 J jnl
A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification.
CoRR
Alan J. X. Guo, Fei Zhu
2017 J jnl
Spectral-Spatial Feature Extraction and Classification by ANN Supervised with Center Loss in Hyperspectral Imagery.
CoRR
Alan J. X. Guo, Fei Zhu
2016 J jnl
s-Inversion Sequences and P-Partitions of Type B.
SIAM J. Discret. Math.
William Y. C. Chen, Alan J. X. Guo, Peter L. Guo, Harry H. Y. Huang, Thomas Y. H. Liu