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Kuiliang Gao

Observed names: <p>Kuiliang Gao, Bing Liu, Zhixiang Xue, Xibing Zuo, Yifan Sun, Mofan Dai</p>, GAO Kuiliang, Gao, Kuiliang, Kuiliang GAO
ORCID: 0000-0002-2145-199X
Observed ORCID: 0000-0002-2145-199X
OpenAlex ID: A5074045214
Perceiving Spectral Variation: Unsupervised Spectrum Motion Feature Learning for Hyperspectral Image Classification
2022 · Yifan Sun, Bing Liu, et al. · IEEE Transactions on Geoscience and Remote Sensing · 218
Deep Relation Network for Hyperspectral Image Few-Shot Classification
2020 · Kuiliang Gao, Bing Liu, et al. · Remote Sensing · 186
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Deep Multiview Learning for Hyperspectral Image Classification
2020 · Bing Liu, Anzhu Yu, et al. · IEEE Transactions on Geoscience and Remote Sensing · 144
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Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification
2022 · Kuiliang Gao, Bing Liu, et al. · IEEE Transactions on Image Processing · 94
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DSS-TRM: deep spatial–spectral transformer for hyperspectral image classification
2022 · Bing Liu, Anzhu Yu, et al. · European Journal of Remote Sensing · 52
Small sample classification of hyperspectral image using model-agnostic meta-learning algorithm and convolutional neural network
2021 · Kuiliang Gao, Bing Liu, et al. · International Journal of Remote Sensing · 46
Morphological Attribute Profile Cube and Deep Random Forest for Small Sample Classification of Hyperspectral Image
2020 · Bing Liu, Wenyue Guo, et al. · IEEE Access · 45
Prototype and Context-Enhanced Learning for Unsupervised Domain Adaptation Semantic Segmentation of Remote Sensing Images
2023 · Kuiliang Gao, Anzhu Yu, et al. · IEEE Transactions on Geoscience and Remote Sensing · 44
Deep Induction Network for Small Samples Classification of Hyperspectral Images
2020 · Kuiliang Gao, Wenyue Guo, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 38
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Semisupervised graph convolutional network for hyperspectral image classification
2020 · Bing Liu, Kuiliang Gao, et al. · Journal of Applied Remote Sensing · 33
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images
2023 · Kuiliang Gao, Anzhu Yu, et al. · IEEE Transactions on Geoscience and Remote Sensing · 29
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Deep global-local transformer network combined with extended morphological profiles for hyperspectral image classification
2021 · Xiong Tan, Kuiliang Gao, et al. · Journal of Applied Remote Sensing · 27
Rethinking Semantic Segmentation With Multi-Grained Logical Prototype
2025 · Anzhu Yu, Kuiliang Gao, et al. · IEEE Transactions on Image Processing · 24
Resolution reconstruction classification: fully octave convolution network with pyramid attention mechanism for hyperspectral image classification
2022 · Yifan Sun, Bing Liu, et al. · International Journal of Remote Sensing · 24
Masked Graph Convolutional Network for Small Sample Classification of Hyperspectral Images
2023 · Wenkai Liu, Bing Liu, et al. · Remote Sensing · 19
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ES2FL: Ensemble Self-Supervised Feature Learning for Small Sample Classification of Hyperspectral Images
2022 · Bing Liu, Kuiliang Gao, et al. · Remote Sensing · 19
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From Video to Hyperspectral: Hyperspectral Image-Level Feature Extraction with Transfer Learning
2022 · Yifan Sun, Bing Liu, et al. · Remote Sensing · 15
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Multiscale nested U-Net for small sample classification of hyperspectral images
2022 · Bing Liu, Anzhu Yu, et al. · Journal of Applied Remote Sensing · 12
Spatial-spectral feature classification of hyperspectral image using a pretrained deep convolutional neural network
2021 · Bing Liu, Anzhu Yu, et al. · European Journal of Remote Sensing · 11
Deep Transformer Network for Hyperspectral Image Classification
2021 · <p>Kuiliang Gao, Bing Liu, Zhixiang Xue, Xibing Zuo, Yifan Sun, Mofan Dai</p> · Academic Journal of Computing & Information Science · 10
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Attention Prompt-Driven Source-Free Adaptation for Remote Sensing Images Semantic Segmentation
2024 · Kuiliang Gao, Xiong You, et al. · IEEE Geoscience and Remote Sensing Letters · 9
Cross-Domain Multi-Prototypes with Contradictory Structure Learning for Semi-Supervised Domain Adaptation Segmentation of Remote Sensing Images
2023 · Kuiliang Gao, Anzhu Yu, et al. · Remote Sensing · 8
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Small sample classification for hyperspectral imagery using temporal convolution and attention mechanism
2021 · Kuiliang Gao, Xuchu Yu, et al. · Remote Sensing Letters · 7
Learning General-Purpose Representations for Cross-Domain Hyperspectral Images Classification with Small Samples
2023 · Kuiliang Gao, Anzhu Yu, et al. · Remote Sensing · 6
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Hyperspectral image classification with deep 3D capsule network and Markov random field
2021 · Xiong Tan, Zhixiang Xue, et al. · IET Image Processing · 6
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Works count: 35
Citation count: 1,144
H-index: 16
I10-index: 20
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