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Vanadium self-intercalated C/V 1.11 S 2 nanosheets with abundant active sites for enhanced electro-catalytic hydrogen evolution Journal article
Electrochimica Acta, 2019,Volume: 300,Page: 208-216
Authors:  Yang M.;  Cao L.;  Wang Z.;  Qu Y.;  Shang C.;  Guo H.;  Xiong W.;  Zhang J.;  Shi R.;  Zou J.;  Cheng C.;  Pan H.;  Lu Z.
Favorite  |  View/Download:8/0  |  Submit date:2019/04/08
C/v 1.11 s 2 Nanosheets  Electrocatalysts  Gibbs Free Energy For Hydrogen Adsorption  Hydrogen Evolution Reaction  Self-intercalated  
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.
Favorite  |  View/Download:7/0  |  Submit date:2019/02/11
Graph convolutional  hyperspectral image (HSI) classification  neural network  semisupervised learning  
SeqViews2SeqLabels: Learning 3D global features via aggregating sequential views by RNN with attention Journal article
IEEE Transactions on Image Processing, 2019,Volume: 28,Issue: 2,Page: 658-672
Authors:  Han Z.;  Shang M.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.;  Zwicker M.;  Han J.;  Chen C.L.P.
Favorite  |  View/Download:6/0  |  Submit date:2019/02/14
3d Feature Learning  Attention  Rnn  Sequential Labels  Sequential Views  View Aggregation  
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.
Favorite  |  View/Download:12/0  |  Submit date:2019/02/11
deep learning  few-shot learning  metric learning  Siamese dense neural networks  software defect prediction  
Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image Conference paper
Proceedings - International Conference on Machine Learning and Cybernetics
Authors:  Li A.;  Qin A.;  Hu S.;  Shang Z.;  Tang Y.Y.
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3-D edge-preserving filters (3-D EPFs)  Hyperspectral images (HSIs)  Intensity differences  Sparse subspace clustering (SSC)  
Parameter Estimation of Gaussian Mixture Model Based on Variational Bayesian Learning Conference paper
Proceedings - International Conference on Machine Learning and Cybernetics
Authors:  Zhao L.;  Shang Z.;  Qin A.;  Tang Y.Y.
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Annealing algorithm  Gaussian mixture model  parameter estimation  tsallis-DAVBEM  variational bayes EM  
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.
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Dimensional reduction  distribution preserving embedding  edge-preserving smoothing  hyperspectral image (HSI) classification  unit hyperspherical manifold  
Fast multi-object tracking using convolutional neural networks with tracklets updating Conference paper
2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
Authors:  Zhang Y.;  Tang Y.;  Fang B.;  Shang Z.
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Deep learning  Hungarian algorithm  Kaiman Filter  Multi-object tracking  
Maximum correntropy criterion for convex and semi-nonnegative matrix factorization Conference paper
2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Authors:  Qin A.;  Shang Z.;  Tian J.;  Li A.;  Wang Y.;  Tang Y.Y.
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Clustering  Maximum correntropy criterion  Nonnegative matrix factorization  
Using graph-based ensemble learning to classify imbalanced data Conference paper
2017 3rd IEEE International Conference on Cybernetics, CYBCONF 2017 - Proceedings
Authors:  Qin A.;  Shang Z.;  Tian J.;  Zhang T.;  Wang Y.;  Tang Y.Y.
Favorite  |  View/Download:4/0  |  Submit date:2019/02/11