s-Inversion Sequences and P-Partitions of Type B. - William Y. C. Chen; Alan J. X. Guo; Peter L. Guo; Harry H. Y. Huang; Thomas Y. H. Liu (SIAM J. Discret. Math., 2016)

A Graph Regularized Multilinear Mixing Model for Nonlinear Hyperspectral Unmixing. - Minglei Li; Fei Zhu 001; Alan J. X. Guo; Jie Chen 022 (Remote. Sens., 2019)

Spectral-Spatial Feature Extraction and Classification by ANN Supervised With Center Loss in Hyperspectral Imagery. - Alan J. X. Guo; Fei Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

A CNN-Based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification. - Alan J. X. Guo; Fei Zhu 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

A Robust Multilinear Mixing Model with l2, 1 norm for Unmixing Hyperspectral Images. - Minglei Li; Fei Zhu 001; Alan J. X. Guo (VCIP, 2020)

Boosting Deep Hyperspectral Image Classification with Spectral Unmixing. - Alan J. X. Guo; Fei Zhu 001 (CoRR, 2020)

Hyperspectral Image Classification With Deep Metric Learning and Conditional Random Field. - Yi Liang; Xin Zhao; Alan J. X. Guo; Fei Zhu 001 (IEEE Geosci. Remote. Sens. Lett., 2020)

Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm. - Alan J. X. Guo; Qing-Hu Hou; Ou Wu (CoRR, 2021)

Improving deep hyperspectral image classification performance with spectral unmixing. - Alan J. X. Guo; Fei Zhu 001 (Signal Process., 2021)

Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage. - Alan J. X. Guo; Cong Liang 003; Qing-Hu Hou (ICML, 2022)

Group-based network pruning via nonlinear relationship between convolution filters. - Guanqun Zhang; Shuai Xu; Jing Li 002; Alan J. X. Guo (Appl. Intell., 2022)

Using Artificial Neural Networks to Model Errors in Biochemical Manipulation of DNA Molecules. - Alan J. X. Guo; Hao Qi (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

DoDo-Code: a Deep Levenshtein Distance Embedding-based Code for IDS Channel and DNA Storage. - Alan J. X. Guo; Sihan Sun; Xiang Wei; Mengyi Wei; Xin Chen (CoRR, 2023)

SARW: Similarity-Aware Random Walk for GCN. - Linlin Hou; Haixiang Zhang; Qing-Hu Hou; Alan J. X. Guo; Ou Wu; Ting Yu; Ji Zhang (Intell. Data Anal., 2023)

Levenshtein Distance Embedding with Poisson Regression for DNA Storage. - Xiang Wei; Alan J. X. Guo; Sihan Sun; Mengyi Wei; Wei Yu (AAAI, 2024)

THEA-Code: an Autoencoder-Based IDS-correcting Code for DNA Storage. - Alan J. X. Guo; Mengyi Wei; Yufan Dai; Yali Wei; Pengchen Zhang (CoRR, 2024)

Efficient Transformer-based Decoder for Varshamov-Tenengolts Codes. - Yali Wei; Alan J. X. Guo; Zihui Yan; Yufan Dai (CoRR, 2025)

Rethinking the Mean Teacher Strategy from the Perspective of Self-paced Learning. - Pengchen Zhang; Alan J. X. Guo; Sipin Luo; Zhe Han; Lin Guo (CoRR, 2025)