Anyong Qin

发表

Spectral-Spatial Sparse Subspace Clustering Based On Three-Dimensional Edge-Preserving Filtering For Hyperspectral Image

Yuan Yan Tang, Zhaowei Shang, Ailin Li, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

Siamese Dense Neural Network for Software Defect Prediction With Small Data

Yuan Yan Tang, Zhaowei Shang, Ling Zhao, 2019, IEEE Access.

Spatial distribution preserving-based sparse subspace clustering for hyperspectral image

Zhaowei Shang, Anyong Qin, Jiye Qian, 2019, Int. J. Wavelets Multiresolution Inf. Process..

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

Yuan Yan Tang, Zhaowei Shang, Taiping Zhang, 2016, 2016 7th International Conference on Cloud Computing and Big Data (CCBD).

Spectral-Spatial Graph Convolutional Networks for Semel-Supervised Hyperspectral Image Classification

Zhaowei Shang, Chang Liu, Anyong Qin, 2018, 2018 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR).

Spectral–Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification

Yuan Yan Tang, Zhaowei Shang, Yulong Wang, 2019, IEEE Geoscience and Remote Sensing Letters.

Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm

Yuan Yan Tang, Taiping Zhang, Anyong Qin, 2020, Sensors.

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

Yuan Yan Tang, Zhaowei Shang, Taiping Zhang, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Maximum correntropy criterion for convex anc semi-nonnegative matrix factorization

Yuan Yan Tang, Zhaowei Shang, Yulong Wang, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network pdf

Zhaowei Shang, Chang Liu, Anyong Qin, 2018, IGTA.

Parameter Estimation Of Gaussian Mixture Model Based On Variational Bayesian Learning

Yuan Yan Tang, Zhaowei Shang, Anyong Qin, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

Learning the Distribution Preserving Semantic Subspace for Clustering

Yuan Yan Tang, Zhaowei Shang, Taiping Zhang, 2017, IEEE Transactions on Image Processing.

Using Graph-Based Ensemble Learning to Classify Imbalanced Data

Zhaowei Shang, Yulong Wang, Yuanyan Tang, 2017, 2017 3rd IEEE International Conference on Cybernetics (CYBCON).

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

Yuan Yan Tang, Zhaowei Shang, Ailin Li, 2019, Int. J. Pattern Recognit. Artif. Intell..

Distribution Preserving Network Embedding

Yuan Yan Tang, Zhaowei Shang, Taiping Zhang, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Yuan Yan Tang, Zhaowei Shang, Taiping Zhang, 2020, ArXiv.

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

Yuan Yan Tang, Zhaowei Shang, Taiping Zhang, 2019, Future Gener. Comput. Syst..

Infrared and Visible Cross-Modal Image Retrieval Through Shared Features

Deyu Meng, Anyong Qin, Chenqiang Gao, 2021, IEEE Transactions on Circuits and Systems for Video Technology.

Distribution Preserving Deep Semi-Nonnegative Matrix Factorization

Anyong Qin, Yongqing Sun, Zhuolin Tan, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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

Anyong Qin, Feng Yang, Jie Ran, 2021, Remote. Sens..