Jiaxin Li

Orcid: 0000-0002-1237-542X

Affiliations:
  • Chinese Academy of Sciences (CAS), Aerospace Information Research Institute, Beijing, China
  • University of Chinese Academy of Sciences (UCAS), College of Resources and Environment, Beijing, China


According to our database1, Jiaxin Li authored at least 25 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Frequency domain-enhanced spectral-spatial fusion transformer for semantic segmentation of remote sensing images.
Inf. Fusion, 2026

2025
A Multistage Semi-Supervised Network for Hyperspectral Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2025

DBMLLA: Double-Branch Mamba-Like Linear Attention Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2025

Enhanced Deep Image Prior for Unsupervised Hyperspectral Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2025

Spatiotemporal Fusion Algorithm Based on Multikernal Adaptive Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Spectral-Spatial Collaborative Pretraining Framework With Multiconstraint Cooperation for Hyperspectral-Multispectral Image Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Unsupervised Pretraining Framework Guided Hyperspectral and Multispectral Image Fusion.
IEEE Geosci. Remote. Sens. Lett., 2025

FusGAT: Graph Attention-Based Fusion Network for Unsupervised Hyperspectral Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett., 2025

DMSN: A Deep Multistream Network for Hyperspectral Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett., 2025

UNMamba: Cascaded Spatial-Spectral Mamba for Blind Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2025

2024
Non-Local Similarity-Based Attentive Graph Convolution Network for Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2024

Unsupervised Hyperspectral and Multispectral Image Fusion With Deep Spectral-Spatial Collaborative Constraint.
IEEE Trans. Geosci. Remote. Sens., 2024

Cross-Semantic Heterogeneous Modeling Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Model-Informed Multistage Unsupervised Network for Hyperspectral Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2024

Multiscale Attention Spatiotemporal Fusion Model Based on Pyramidal Network Constraints.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
X-Shaped Interactive Autoencoders With Cross-Modality Mutual Learning for Unsupervised Hyperspectral Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2023

Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2023

Model-Guided Coarse-to-Fine Fusion Network for Unsupervised Hyperspectral Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett., 2023

A Feature Fusion-Based Transformer Network for Hyperspectral Super-Resolution.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

A New Unsupervised Network for Hyperspectral and Multispectral Image Fusion.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Unsupervised Dynamic Convolutional Neural Network Model for Hyperspectral and Multispectral Image Fusion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Interactive Autoencoders With Degradation Constraint For Hyperspectral Super-Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Deep Unsupervised Blind Hyperspectral and Multispectral Data Fusion.
IEEE Geosci. Remote. Sens. Lett., 2022

Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review.
CoRR, 2022

Deep learning in multimodal remote sensing data fusion: A comprehensive review.
Int. J. Appl. Earth Obs. Geoinformation, 2022


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