Anyong Qin

According to our database, Anyong Qin authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Updated Subspace Networks for Few-Shot Remote Sensing Scene Classification.

Anyong Qin, Fuyang Chen, Qiang Li, Lingyun Tang, Feng Yang, Yue Zhao, Chenqiang Gao

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Distribution preserving-based deep semi-NMF for data representation.

Anyong Qin, Zhuolin Tan, Xingli Tan, Yongji Wu, Cheng Jing, Yuan Yan Tang

Neurocomputing, March, 2023

Distance Constraint-Based Generative Adversarial Networks for Hyperspectral Image Classification.

Anyong Qin, Zhuolin Tan, Ran Wang, Yongqing Sun, Feng Yang, Yue Zhao, Chenqiang Gao

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Multiscale Spatio-Temporal Network for Aerial Video Event Recognition.

Feng Yang, Jian Zhang, Yue Zhao, Anyong Qin, Chenqiang Gao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Active Learning for Hyperspectral Image Classification via Hypergraph Neural Network.

Yongqing Sun, Anyong Qin, Yukihiro Bandoh, Chenqiang Gao, Yusuke Hiwasaki

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Infrared and Visible Cross-Modal Image Retrieval Through Shared Features.

Fangcen Liu, Chenqiang Gao, Yongqing Sun, Yue Zhao, Feng Yang, Anyong Qin, Deyu Meng

IEEE Trans. Circuits Syst. Video Technol., 2021

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

Feng Yang, Xiangyue Yuan, Jie Ran, Wenqiang Shu, Yue Zhao, Anyong Qin, Chenqiang Gao

Remote. Sens., 2021

Distribution Preserving Deep Semi-Nonnegative Matrix Factorization.

Zhuolin Tan, Anyong Qin, Yongqing Sun, Yuan Yan Tang

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.

Anyong Qin, Lina Xian, Yongliang Yang, Taiping Zhang, Yuan Yan Tang

Sensors, 2020

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

Anyong Qin, Lina Xian, Yongliang Yang, Taiping Zhang, Yuan Yan Tang

CoRR, 2020

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

Anyong Qin, Zhaowei Shang, Zhuolin Tan, Taiping Zhang, Yuan Yan Tang

CoRR, 2020

Adaptive Fusion and Mask Refinement Instance Segmentation Network for High Resolution Remote Sensing Images.

Jie Ran, Feng Yang, Chenqiang Gao, Yue Zhao, Anyong Qin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification.

Anyong Qin, Zhaowei Shang, Jinyu Tian, Yulong Wang, Taiping Zhang, Yuan Yan Tang

IEEE Geosci. Remote. Sens. Lett., 2019

Spatial distribution preserving-based sparse subspace clustering for hyperspectral image.

Yiyang Ding, Anyong Qin, Zhaowei Shang, Jiye Qian

Int. J. Wavelets Multiresolution Inf. Process., 2019

Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image.

Ailin Li, Anyong Qin, Zhaowei Shang, Yuan Yan Tang

Int. J. Pattern Recognit. Artif. Intell., 2019

A cost-sensitive meta-learning classifier: SPFCNN-Miner.

Linchang Zhao, Zhaowei Shang, Anyong Qin, Taiping Zhang, Ling Zhao, Yu Wei, Yuan Yan Tang

Future Gener. Comput. Syst., 2019

Siamese Dense Neural Network for Software Defect Prediction With Small Data.

Linchang Zhao, Zhaowei Shang, Ling Zhao, Anyong Qin, Yuan Yan Tang

IEEE Access, 2019

A Multiscale Image Denoising Algorithm Based on Dilated Residual Convolution Network.

Chang Liu, Zhaowei Shang, Anyong Qin

Proceedings of the Image and Graphics Technologies and Applications, 2019

Distribution Preserving Network Embedding.

Anyong Qin, Zhaowei Shang, Taiping Zhang, Yuan Yan Tang

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification.

Anyong Qin, Zhaowei Shang, Jinyu Tian, Taiping Zhang, Yuan Yan Tang, Jiye Qian

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Parameter Estimation Of Gaussian Mixture Model Based On Variational Bayesian Learning.

Linchang Zhao, Zhaowei Shang, Anyong Qin, Yuan Yan Tang

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.

Ailin Li, Anyong Qin, Shuyan Hu, Zhaowei Shang, Yuan Yan Tang

Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017

Learning the Distribution Preserving Semantic Subspace for Clustering.

Jinyu Tian, Taiping Zhang, Anyong Qin, Zhaowei Shang, Yuan Yan Tang

IEEE Trans. Image Process., 2017

Maximum correntropy criterion for convex anc semi-nonnegative matrix factorization.

Anyong Qin, Zhaowei Shang, Jinyu Tian, Ailin Li, Yulong Wang, Yuan Yan Tang

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Using Graph-Based Ensemble Learning to Classify Imbalanced Data.

Anyong Qin, Zhaowei Shang, Jinyu Tian, Taiping Zhang, Yulong Wang, Yuanyan Tang

Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2016

Minimum Description Length Principle Based Atomic Norm for Synthetic Low-Rank Matrix Recovery.

Anyong Qin, Zhaowei Shang, Taiping Zhang, Yiyang Ding, Yuan Yan Tang

Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016