Bing Liu

Orcid: 0000-0003-0848-8453

Affiliations:
  • PLA Information Engineering University, Department of Big Data Analysis, Zhengzhou, China (PhD 2019)
  • Institute of Surveying and Mapping, Zhengzhou, China


According to our database1, Bing Liu authored at least 38 papers between 2018 and 2025.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Multitask Siamese Network Guided by Enhanced Change Information for Semantic Change Detection in Bitemporal Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Multimodal self-supervised learning for remote sensing data land cover classification.
Pattern Recognit., 2025

2024
Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

Depth Feature Fusion Network for Building Extraction in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
Cross-Domain Multi-Prototypes with Contradictory Structure Learning for Semi-Supervised Domain Adaptation Segmentation of Remote Sensing Images.
Remote. Sens., July, 2023

Masked Graph Convolutional Network for Small Sample Classification of Hyperspectral Images.
Remote. Sens., April, 2023

Learning General-Purpose Representations for Cross-Domain Hyperspectral Images Classification with Small Samples.
Remote. Sens., February, 2023

Low-Rank Constrained Attention-Enhanced Multiple Spatial-Spectral Feature Fusion for Small Sample Hyperspectral Image Classification.
Remote. Sens., January, 2023

Hyperspectral Meets Optical Flow: Spectral Flow Extraction for Hyperspectral Image Classification.
IEEE Trans. Image Process., 2023

Spectral-Spatial MLP-Like Network With Reciprocal Points Learning for Open-Set Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Prototype and Context-Enhanced Learning for Unsupervised Domain Adaptation Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Exploiting Discriminative Advantage of Spectrum for Hyperspectral Image Classification: SpectralFormer Enhanced by Spectrum Motion Feature.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Deep Hierarchical Vision Transformer for Hyperspectral and LiDAR Data Classification.
IEEE Trans. Image Process., 2022

Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification.
IEEE Trans. Image Process., 2022

FSL-EGNN: Edge-Labeling Graph Neural Network for Hyperspectral Image Few-Shot Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Self-Supervised Feature Learning for Multimodal Remote Sensing Image Land Cover Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Multiscale Deep Learning Network With Self-Calibrated Convolution for Hyperspectral and LiDAR Data Collaborative Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Self-Supervised Feature Representation and Few-Shot Land Cover Classification of Multimodal Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Perceiving Spectral Variation: Unsupervised Spectrum Motion Feature Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Building Extraction From Remote Sensing Images With DoG as Prior Constraint.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

From Video to Hyperspectral: Hyperspectral Image-Level Feature Extraction with Transfer Learning.
Remote. Sens., 2022

Self-Supervised Denoising for Real Satellite Hyperspectral Imagery.
Remote. Sens., 2022

ES2FL: Ensemble Self-Supervised Feature Learning for Small Sample Classification of Hyperspectral Images.
Remote. Sens., 2022

Small Sample Hyperspectral Image Classification Based on Cascade Fusion of Mixed Spatial-Spectral Features and Second-Order Pooling.
Remote. Sens., 2022

Pixel-Level Self-Supervised Learning for Semi-Supervised Building Extraction From Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2022

MP-ResNet: Multipath Residual Network for the Semantic Segmentation of High-Resolution PolSAR Images.
IEEE Geosci. Remote. Sens. Lett., 2022

Self-Supervised Feature Learning and Few-Shot Land Cover Classification for Cross-Modal Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Deep Multiview Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2021

HResNetAM: Hierarchical Residual Network With Attention Mechanism for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Patch-Free Bilateral Network for Hyperspectral Image Classification Using Limited Samples.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020
Deep Induction Network for Small Samples Classification of Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Deep Relation Network for Hyperspectral Image Few-Shot Classification.
Remote. Sens., 2020

Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction.
CoRR, 2020

MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images.
CoRR, 2020

Active Deep Densely Connected Convolutional Network for Hyperspectral Image Classification.
CoRR, 2020

Morphological Attribute Profile Cube and Deep Random Forest for Small Sample Classification of Hyperspectral Image.
IEEE Access, 2020

2019
Deep Few-Shot Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019

2018
Supervised Deep Feature Extraction for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2018


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