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Distribution preserving-based deep semi-NMF for data representation Journal article
Anyong Qin, Zhuolin Tan, Xingli Tan, Yongji Wu, Cheng Jing, Yuan Yan Tang. Distribution preserving-based deep semi-NMF for data representation[J]. NEUROCOMPUTING, 2023, 524, 69-83.
Authors:  Anyong Qin;  Zhuolin Tan;  Xingli Tan;  Yongji Wu;  Cheng Jing; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:5.5/5.5 | Submit date：2023/04/03
Clustering  Deep Semi-nmf  Distribution Preserving  Manifold Structure  Projected Barzilai-borwein Method  
An unconditionally positivity-preserving implicit-explicit scheme for evolutionary stable distribution model Journal article
Zhang, Chun-Hua, Chen, Guang-Ze, Fang, Zhi-Wei, Lin, Xue-lei, Sun, Hai-Wei. An unconditionally positivity-preserving implicit-explicit scheme for evolutionary stable distribution model[J]. Journal of Computational and Applied Mathematics, 2022, 403(113883).
Authors:  Zhang, Chun-Hua;  Chen, Guang-Ze;  Fang, Zhi-Wei;  Lin, Xue-lei;  Sun, Hai-Wei
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:2.1/2.1 | Submit date：2022/04/04
Evolutionary Stable Distribution  Implicit–explicit Scheme  Positivity-preserving  Entropy Dissipation  
An unconditionally positivity-preserving implicit–explicit scheme for evolutionary stable distribution model Journal article
Zhang, C.H., Chen, G.Z., Fang, Z.W., Lin, X.L., Sun, H. W.. An unconditionally positivity-preserving implicit–explicit scheme for evolutionary stable distribution model[J]. Journal of Computational and Applied Mathematics, 2022, 113883-113883.
Authors:  Zhang, C.H.;  Chen, G.Z.;  Fang, Z.W.;  Lin, X.L.;  Sun, H. W.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:2.9/2.6 | Submit date：2022/07/25
Evolutionary Stable Distribution  Implicit–explicit Scheme  Positivity-preserving  Entropy Dissipation  
Relationship-Aware Hard Negative Generation in Deep Metric Learning Conference paper
Huang, Jiaqi, Feng, Yong, Zhou, Mingliang, Qiang, Baohua. Relationship-Aware Hard Negative Generation in Deep Metric Learning[C], 2020, 388-400.
Authors:  Huang, Jiaqi;  Feng, Yong;  Zhou, Mingliang;  Qiang, Baohua
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2023/04/19
Deep Metric Learning  Distribution Quantification  Minimum Spanning Tree  Relationship Preserving  Sample Generation  
Distribution Preserving Network Embedding Conference paper
Anyong Qin, Zhaowei Shang, Taiping Zhang, Yuan Yan Tang. Distribution Preserving Network Embedding[C]:IEEE, 2019, 3562-3566.
Authors:  Anyong Qin;  Zhaowei Shang;  Taiping Zhang;  Yuan Yan Tang
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/17
Clustering  Distribution Preserving  Manifold Structure  Part-based Representation  Sparse Autoencoder  
Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification Journal article
Qin, Anyong, Shang, Zhaowei, Tian, Jinyu, Zhang, Taiping, Tang, Yuan Yan, Qian, Jiye. Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11(7), 2501-2512.
Authors:  Qin, Anyong;  Shang, Zhaowei;  Tian, Jinyu;  Zhang, Taiping;  Tang, Yuan Yan; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:4.7/5.0 | Submit date：2018/10/30
Dimensional Reduction  Distribution Preserving Embedding  Edge-preserving Smoothing  Hyperspectral Image (Hsi) Classification  Unit Hyperspherical Manifold  
Edge-smoothing-based distribution preserving hyperspherical embedding for hyperspectral image classification Journal article
Qin A., Shang Z., Tian J., Zhang T., Tang Y.Y., Qian J.. Edge-smoothing-based distribution preserving hyperspherical embedding for hyperspectral image classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(7), 2501-2512.
Authors:  Qin A.;  Shang Z.;  Tian J.;  Zhang T.;  Tang Y.Y.; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5 | Submit date：2019/02/11
Dimensional Reduction  Distribution Preserving Embedding  Edge-preserving Smoothing  Hyperspectral Image (Hsi) Classification  Unit Hyperspherical Manifold  
Learning the Distribution Preserving Semantic Subspace for Clustering Journal article
Tian, Jinyu, Zhang, Taiping, Qin, Anyong, Shang, Zhaowei, Tang, Yuan Yan. Learning the Distribution Preserving Semantic Subspace for Clustering[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 26(12), 5950-5965.
Authors:  Tian, Jinyu;  Zhang, Taiping;  Qin, Anyong;  Shang, Zhaowei;  Tang, Yuan Yan
Favorite | TC[WOS]:20 TC[Scopus]:22  IF:10.8/12.1 | Submit date：2018/10/30
Clustering  Distribution Preserving Indexing  Semantic Representation  Local Manifold Structure  
Learning the distribution of data for embedding Conference paper
Shen Y., Ren P., Zhang T., Tang Y.Y.. Learning the distribution of data for embedding[C], 2017, 46-51.
Authors:  Shen Y.;  Ren P.;  Zhang T.;  Tang Y.Y.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2019/02/11
Dimensionality Reduction  Distribution Preserving Embedding  Kernel Density Estimation