Chenyu Li

Orcid: 0000-0002-1687-9676

Affiliations:
  • Southeast University, School of Mathematics, Nanjing, China


According to our database1, Chenyu Li authored at least 27 papers between 2023 and 2026.

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

Timeline

Legend:

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Bibliography

2026
SeaMo: A season-aware multimodal foundation model for remote sensing.
Inf. Fusion, 2026

2025
Hyperspectral Imaging.
CoRR, August, 2025

Joint Super-Resolution and Segmentation for 1-m Impervious Surface Area Mapping in China's Yangtze River Economic Belt.
CoRR, May, 2025

Learning Disentangled Priors for Hyperspectral Anomaly Detection: A Coupling Model-Driven and Data-Driven Paradigm.
IEEE Trans. Neural Networks Learn. Syst., April, 2025

FlexiMo: A Flexible Remote Sensing Foundation Model.
CoRR, March, 2025

UrbanSAM: Learning Invariance-Inspired Adapters for Segment Anything Models in Urban Construction.
CoRR, February, 2025

A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, Strategies, and Challenges.
CoRR, February, 2025

Hyperspectral Image Classification With Mamba.
IEEE Trans. Geosci. Remote. Sens., 2025

Multimodal Semantic Segmentation in Yangtze River Economic Belt: Outcome of the 2024 IEEE WHISPERS MMSeg-YREB Challenge.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

A comprehensive survey for Hyperspectral Image Classification: The evolution from conventional to transformers and Mamba models.
Neurocomputing, 2025

Dynamic State-Control Modeling for Generalized Remote Sensing Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
SpectralGPT: Spectral Remote Sensing Foundation Model.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

HyperSINet: A Synergetic Interaction Network Combined With Convolution and Transformer for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Interpretable Networks for Hyperspectral Anomaly Detection: A Deep Unfolding Solution.
IEEE Trans. Geosci. Remote. Sens., 2024

EXNet: (2+1)D Extreme Xception Net for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging.
Inf. Fusion, 2024

SeaMo: A Multi-Seasonal and Multimodal Remote Sensing Foundation Model.
CoRR, 2024

SpectralMamba: Efficient Mamba for Hyperspectral Image Classification.
CoRR, 2024

Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection.
CoRR, 2024

RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease index.
Comput. Electron. Agric., 2024

Deformable Kolmogorov-Arnold Networks For Hyperspectral Image Classification.
Proceedings of the 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2024

Hyperkan: An Interpretable Approximation Network for Hyperspectral Superresolution.
Proceedings of the 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2024

2023
Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework.
IEEE Trans. Geosci. Remote. Sens., 2023

LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion.
IEEE Trans. Geosci. Remote. Sens., 2023

SpectralGPT: Spectral Foundation Model.
CoRR, 2023

Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks.
CoRR, 2023


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