Anyong Qin

Orcid: 0000-0002-2538-822X

According to our database1, Anyong Qin authored at least 31 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Change-Aware Cascaded Dual-Decoder Network for Remote Sensing Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Few-Shot Learning With Prototype Rectification for Cross-Domain Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Deep Updated Subspace Networks for Few-Shot Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

DS$^{2}$PN: A Two-Stage Direction-Aware Spectral-Spatial Perceptual Network for Hyperspectral Image Reconstruction.
IEEE Trans. Computational Imaging, 2024

Few-Shot Remote Sensing Scene Classification via Subspace Based on Multiscale Feature Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Towards Student Actions in Classroom Scenes: New Dataset and Baseline.
CoRR, 2024

2023
Distribution preserving-based deep semi-NMF for data representation.
Neurocomputing, March, 2023

Distance Constraint-Based Generative Adversarial Networks for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Multiscale Spatio-Temporal Network for Aerial Video Event Recognition.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Active Learning for Hyperspectral Image Classification via Hypergraph Neural Network.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Infrared and Visible Cross-Modal Image Retrieval Through Shared Features.
IEEE Trans. Circuits Syst. Video Technol., 2021

Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning.
Remote. Sens., 2021

Distribution Preserving Deep Semi-Nonnegative Matrix Factorization.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm.
Sensors, 2020

Low-Rank Matrix Recovery from Noisy via an MDL Framework-based Atomic Norm.
CoRR, 2020

Learning a Deep Part-based Representation by Preserving Data Distribution.
CoRR, 2020

Adaptive Fusion and Mask Refinement Instance Segmentation Network for High Resolution Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2019

Spatial distribution preserving-based sparse subspace clustering for hyperspectral image.
Int. J. Wavelets Multiresolution Inf. Process., 2019

Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image.
Int. J. Pattern Recognit. Artif. Intell., 2019

A cost-sensitive meta-learning classifier: SPFCNN-Miner.
Future Gener. Comput. Syst., 2019

Siamese Dense Neural Network for Software Defect Prediction With Small Data.
IEEE Access, 2019

A Multiscale Image Denoising Algorithm Based on Dilated Residual Convolution Network.
Proceedings of the Image and Graphics Technologies and Applications, 2019

Distribution Preserving Network Embedding.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Parameter Estimation Of Gaussian Mixture Model Based On Variational Bayesian Learning.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Spectral-Spatial Sparse Subspace Clustering Based On Three-Dimensional Edge-Preserving Filtering For Hyperspectral Image.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017
Learning the Distribution Preserving Semantic Subspace for Clustering.
IEEE Trans. Image Process., 2017

Maximum correntropy criterion for convex anc semi-nonnegative matrix factorization.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Using Graph-Based Ensemble Learning to Classify Imbalanced Data.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2016
Minimum Description Length Principle Based Atomic Norm for Synthetic Low-Rank Matrix Recovery.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016


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