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Anyong Qin
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2020 – today
- 2024
- [j17]Anyong Qin
, Fuyang Chen, Qiang Li, Tiecheng Song
Few-Shot Remote Sensing Scene Classification via Subspace Based on Multiscale Feature Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 13292-13307 (2024) - [j16]Tiecheng Song
DS$^{2}$PN: A Two-Stage Direction-Aware Spectral-Spatial Perceptual Network for Hyperspectral Image Reconstruction. IEEE Trans. Computational Imaging 10: 1346-1356 (2024) - [j15]Anyong Qin
Deep Updated Subspace Networks for Few-Shot Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j14]Anyong Qin
Few-Shot Learning With Prototype Rectification for Cross-Domain Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j13]Feng Yang
Change-Aware Cascaded Dual-Decoder Network for Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [i4]Zhuolin Tan, Chenqiang Gao, Anyong Qin, Ruixin Chen, Tiecheng Song, Feng Yang, Deyu Meng:
Towards Student Actions in Classroom Scenes: New Dataset and Baseline. CoRR abs/2409.00926 (2024) - 2023
- [j12]Anyong Qin, Zhuolin Tan, Xingli Tan, Yongji Wu, Cheng Jing, Yuan Yan Tang:
Distribution preserving-based deep semi-NMF for data representation. Neurocomputing 524: 69-83 (2023) - [j11]Anyong Qin
Distance Constraint-Based Generative Adversarial Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - 2022
- [c11]Yongqing Sun, Anyong Qin, Yukihiro Bandoh, Chenqiang Gao, Yusuke Hiwasaki:
Active Learning for Hyperspectral Image Classification via Hypergraph Neural Network. ICIP 2022: 2576-2580 - [c10]Feng Yang, Jian Zhang, Yue Zhao, Anyong Qin, Chenqiang Gao:
Multiscale Spatio-Temporal Network for Aerial Video Event Recognition. IGARSS 2022: 7835-7838 - 2021
- [j10]Feng Yang, Xiangyue Yuan, Jie Ran, Wenqiang Shu, Yue Zhao, Anyong Qin
Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning. Remote. Sens. 13(23): 4774 (2021) - [j9]Fangcen Liu
Infrared and Visible Cross-Modal Image Retrieval Through Shared Features. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4485-4496 (2021) - [c9]Zhuolin Tan, Anyong Qin, Yongqing Sun, Yuan Yan Tang:
Distribution Preserving Deep Semi-Nonnegative Matrix Factorization. SMC 2021: 1081-1086 - 2020
- [j8]Anyong Qin
Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm. Sensors 20(21): 6111 (2020) - [c8]Jie Ran, Feng Yang, Chenqiang Gao, Yue Zhao, Anyong Qin:
Adaptive Fusion and Mask Refinement Instance Segmentation Network for High Resolution Remote Sensing Images. IGARSS 2020: 2843-2846 - [i3]Anyong Qin, Zhaowei Shang, Zhuolin Tan, Taiping Zhang, Yuan Yan Tang:
Learning a Deep Part-based Representation by Preserving Data Distribution. CoRR abs/2009.08246 (2020) - [i2]Anyong Qin, Lina Xian, Yongliang Yang, Taiping Zhang, Yuan Yan Tang:
Low-Rank Matrix Recovery from Noisy via an MDL Framework-based Atomic Norm. CoRR abs/2009.08297 (2020)
2010 – 2019
- 2019
- [j7]Linchang Zhao
Siamese Dense Neural Network for Software Defect Prediction With Small Data. IEEE Access 7: 7663-7677 (2019) - [j6]Linchang Zhao
A cost-sensitive meta-learning classifier: SPFCNN-Miner. Future Gener. Comput. Syst. 100: 1031-1043 (2019) - [j5]Ailin Li, Anyong Qin, Zhaowei Shang
Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image. Int. J. Pattern Recognit. Artif. Intell. 33(3): 1955003:1-1955003:19 (2019) - [j4]Yiyang Ding, Anyong Qin, Zhaowei Shang, Jiye Qian
Spatial distribution preserving-based sparse subspace clustering for hyperspectral image. Int. J. Wavelets Multiresolution Inf. Process. 17(2): 1940010:1-1940010:18 (2019) - [j3]Anyong Qin
Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(2): 241-245 (2019) - [c7]Anyong Qin, Zhaowei Shang, Taiping Zhang, Yuan Yan Tang:
Distribution Preserving Network Embedding. ICASSP 2019: 3562-3566 - [c6]Chang Liu, Zhaowei Shang, Anyong Qin:
A Multiscale Image Denoising Algorithm Based on Dilated Residual Convolution Network. IGTA 2019: 193-203 - 2018
- [j2]Anyong Qin
Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(7): 2501-2512 (2018) - [c5]Linchang Zhao, Zhaowei Shang, Anyong Qin, Yuan Yan Tang:
Parameter Estimation Of Gaussian Mixture Model Based On Variational Bayesian Learning. ICMLC 2018: 99-104 - [c4]Ailin Li, Anyong Qin, Shuyan Hu, Zhaowei Shang, Yuan Yan Tang:
Spectral-Spatial Sparse Subspace Clustering Based On Three-Dimensional Edge-Preserving Filtering For Hyperspectral Image. ICMLC 2018: 167-172 - [i1]Chang Liu, Zhaowei Shang, Anyong Qin:
A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network. CoRR abs/1812.09131 (2018) - 2017
- [j1]Jinyu Tian
Learning the Distribution Preserving Semantic Subspace for Clustering. IEEE Trans. Image Process. 26(12): 5950-5965 (2017) - [c3]Anyong Qin, Zhaowei Shang, Jinyu Tian, Taiping Zhang, Yulong Wang, Yuanyan Tang:
Using Graph-Based Ensemble Learning to Classify Imbalanced Data. CYBCONF 2017: 1-6 - [c2]Anyong Qin, Zhaowei Shang, Jinyu Tian, Ailin Li, Yulong Wang, Yuan Yan Tang:
Maximum correntropy criterion for convex anc semi-nonnegative matrix factorization. SMC 2017: 1856-1861 - 2016
- [c1]Anyong Qin, Zhaowei Shang, Taiping Zhang, Yiyang Ding, Yuan Yan Tang:
Minimum Description Length Principle Based Atomic Norm for Synthetic Low-Rank Matrix Recovery. CCBD 2016: 7-12
Coauthor Index
aka: Yuanyan Tang
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