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Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection Journal article
Pattern Recognition, 2019,Volume: 89,Page: 119-133
Authors:  Yuan H.;  Li J.;  Lai L.L.;  Tang Y.Y.
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Nonnegative spectral analysis  Sparse matrix regression  Two-dimensional feature selection  Unsupervised learning  
Block sparse representation for pattern classification: Theory, extensions and applications Journal article
Pattern Recognition, 2019,Volume: 88,Page: 198-209
Authors:  Wang Y.;  Tang Y.Y.;  Li L.;  Zheng X.
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Block sparsity  M-estimator  Representation based classifier  Subspace  
Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification Journal article
IEEE Geoscience and Remote Sensing Letters, 2019,Volume: 16,Issue: 2,Page: 241-245
Authors:  Qin A.;  Shang Z.;  Tian J.;  Wang Y.;  Zhang T.;  Tang Y.Y.
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Graph convolutional  hyperspectral image (HSI) classification  neural network  semisupervised learning  
Siamese Dense Neural Network for Software Defect Prediction with Small Data Journal article
IEEE Access, 2019,Volume: 7,Page: 7663-7677
Authors:  Zhao L.;  Shang Z.;  Zhao L.;  Qin A.;  Tang Y.Y.
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deep learning  few-shot learning  metric learning  Siamese dense neural networks  software defect prediction  
Video saliency detection using object proposals Journal article
IEEE Transactions on Cybernetics, 2018,Volume: 48,Issue: 11,Page: 3159-3170
Authors:  Guo F.;  Wang W.;  Shen J.;  Shao L.;  Yang J.;  Tao D.;  Tang Y.Y.
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Object proposals  object-level saliency cues  salient region detection  video saliency  
A combined Weisfeiler-Lehman graph kernel for structured data Journal article
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2018,Volume: 16,Issue: 5
Authors:  Xu, Lixiang;  Tang, Yuanyan;  Luo, Bin;  Cui, Lixin;  Chen, Xiu;  Xiao, Jin
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Graph kernel  graph classification  Weisfeiler-Lehman algorithm  combined graph kernel  
Learning with Coefficient-Based Regularized Regression on Markov Resampling Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Volume: 29,Issue: 9,Page: 4166-4176
Authors:  Li L.;  Li W.;  Zou B.;  Wang Y.;  Tang Y.Y.;  Han H.
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Coefficient-based regularized regression (CBRR)  learning rate  Markov resampling  uniformly ergodic Markov chain (u.e.M.c.)  
Fusing multi-scale information in convolution network for MR image super-resolution reconstruction Journal article
BIOMEDICAL ENGINEERING ONLINE, 2018,Volume: 17
Authors:  Liu, Chang;  Wu, Xi;  Yu, Xi;  Tang, YuanYan;  Zhang, Jian;  Zhou, JiLiu
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Super-resolution reconstruction  Multi-scale information fusion  Convolution network  Magnetic resonance imaging  
Joint medical image fusion, denoising and enhancement via discriminative low-rank sparse dictionaries learning Journal article
PATTERN RECOGNITION, 2018,Volume: 79,Page: 130-146
Authors:  Li, Huafeng;  He, Xiaoge;  Tao, Dapeng;  Tang, Yuanyan;  Wang, Ruxin
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Medical image fusion  Denoising  Dictionary learning  Low-rank decomposition  Sparse representation  
Edge-smoothing-based distribution preserving hyperspherical embedding for hyperspectral image classification Journal article
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018,Volume: 11,Issue: 7,Page: 2501-2512
Authors:  Qin A.;  Shang Z.;  Tian J.;  Zhang T.;  Tang Y.Y.;  Qian J.
Favorite  |  View/Download:1/0  |  Submit date:2019/02/11
Dimensional reduction  distribution preserving embedding  edge-preserving smoothing  hyperspectral image (HSI) classification  unit hyperspherical manifold