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Atomic Representation-Based Classification: Theory, Algorithm, and Applications Journal article
Wang, Yulong, Tang, Yuan Yan, Li, Luoqing, Chen, Hong, Pan, Jianjia. Atomic Representation-Based Classification: Theory, Algorithm, and Applications[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 41(1), 6-19.
Authors:  Wang, Yulong;  Tang, Yuan Yan;  Li, Luoqing;  Chen, Hong;  Pan, Jianjia
Favorite | TC[WOS]:17 TC[Scopus]:19  IF:20.8/22.2 | Submit date：2019/01/17
Atomic Representation  Representation-based Classification  Atomic Classification Condition  
Multi-Level Downsampling of Graph Signals via Improved Maximum Spanning Trees Journal article
Xianwei Zheng, Yuan Yan Tang, Jiantao Zhou, Jianjia Pan, Shouzhi Yang, Youfa Li, Patrick S. P. Wang. Multi-Level Downsampling of Graph Signals via Improved Maximum Spanning Trees[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2018, 33(3).
Authors:  Xianwei Zheng;  Yuan Yan Tang;  Jiantao Zhou;  Jianjia Pan;  Shouzhi Yang; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:0.9/1.0 | Submit date：2021/03/11
Graph Density  Graph Signals  Maximum Spanning Tree  Unbalance Possibility  Unbalance Reduction  
Hyperspectral Image Classification Using Metric Learning in One-Dimensional Embedding Framework Journal article
Luo, Huiwu, Tang, Yuan Yan, Wang, Yulong, Wang, Jianzhong, Biuk-Aghai, Robert P., Pan, Jianjia, Liu, Runzong, Yang, Lina. Hyperspectral Image Classification Using Metric Learning in One-Dimensional Embedding Framework[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(5), 1987-2001.
Authors:  Luo, Huiwu;  Tang, Yuan Yan;  Wang, Yulong;  Wang, Jianzhong;  Biuk-Aghai, Robert P.; et al.
Favorite | TC[WOS]:9 TC[Scopus]:9  IF:4.7/5.0 | Submit date：2018/10/30
1-d Manifold Embedding (1dme)  Hyperspectral Image (Hsi) Classification  Metric Learning  Smooth Ordering  
A hybrid swarm optimization for neural network training with application in stock price forecasting Conference paper
Jianjia Pan, Yuan Yan Tang, Yulong Wang, Xianwei Zheng, Huiwu Luo, Haoliang Yuan, Patrick Shen Pei Wang. A hybrid swarm optimization for neural network training with application in stock price forecasting[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2017, 4450-4453.
Authors:  Jianjia Pan;  Yuan Yan Tang;  Yulong Wang;  Xianwei Zheng;  Huiwu Luo; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3 | Submit date：2019/02/11
Indirect Method-Potential Theory in the Harmonic Transformation Model Conference paper
Yang, Lina, Lin, Bai, Pan, Jianjia, Tang, Yuan Yan, Luo, Huiwu, Li, Xichun, Li, Zhiyuan, Cao, Weijia, IEEE. Indirect Method-Potential Theory in the Harmonic Transformation Model[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017, 271-276.
Authors:  Yang, Lina;  Lin, Bai;  Pan, Jianjia;  Tang, Yuan Yan;  Luo, Huiwu; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2018/10/30
Potential Theory  Harmonic Transformation Model  Partial Differential Equation  Integral Equation  
A decomposition-and-ensemble forecasting method based on EMEMD and FWNN training by PSOSSO Conference paper
Pan, Jianjia, Tang, Yuan Yan, Yang, Lina, IEEE. A decomposition-and-ensemble forecasting method based on EMEMD and FWNN training by PSOSSO[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017, 283-287.
Authors:  Pan, Jianjia;  Tang, Yuan Yan;  Yang, Lina;  IEEE
Favorite | TC[WOS]:1 TC[Scopus]:0 | Submit date：2018/10/30
Forecasting  Empirical Mode Decomposition  Fuzzy Wavelet Neural Network  Psosso  
Adaptive Multiscale Decomposition of Graph Signals Journal article
Xianwei Zheng, Yuan Yan Tang, Jianjia Pan, Jiantao Zhou. Adaptive Multiscale Decomposition of Graph Signals[J]. IEEE Signal Processing Letters, 2016, 23(10), 1389-1393.
Authors:  Xianwei Zheng;  Yuan Yan Tang;  Jianjia Pan;  Jiantao Zhou
Adobe PDF | Favorite | TC[WOS]:9 TC[Scopus]:9  IF:3.2/3.4 | Submit date：2018/12/22
Entropy  Graph Fourier Transform  Graph Signal Cost Function  Graph Wavelet Decomposition (Gwd)  Α-sparsity  
A mean approximation based bidimensional empirical mode decomposition with application to image fusion Journal article
Jianjia Pan, Yuan Yan Tang. A mean approximation based bidimensional empirical mode decomposition with application to image fusion[J]. Digital Signal Processing: A Review Journal, 2016, 50, 61-71.
Authors:  Jianjia Pan;  Yuan Yan Tang
Favorite | TC[WOS]:8 TC[Scopus]:15  IF:2.9/2.9 | Submit date：2019/02/11
Empirical Mode Decomposition  Image Fusion  Intrinsic Mode Function  Mean Approximation  
Classification via atomic representation Conference paper
Yulong Wang, Y.Y. Tang, Lina Yang, Huiwu Luo, Haoliang Yuan, Xianwei Zheng, Jianjia Pan. Classification via atomic representation[C]:IEEE, 2015, 388-393.
Authors:  Yulong Wang;  Y.Y. Tang;  Lina Yang;  Huiwu Luo;  Haoliang Yuan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/02/11
Atomic Representation  Pattern Classification  Sparse Representation  
Similarity Analysis based on Sparse Representation for Protein Sequence Comparison Conference paper
Lina Yang, Yuan Yan Tang, Yulong Wang, Huiwu Luo, Jianjia Pan, Haoliang Yuan, Xianwei Zheng, Chunli Li, Ting Shu. Similarity Analysis based on Sparse Representation for Protein Sequence Comparison[C]:IEEE, 2015, 382-387.
Authors:  Lina Yang;  Yuan Yan Tang;  Yulong Wang;  Huiwu Luo;  Jianjia Pan; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2019/02/11
Feature Extraction  L1-regularized Least Squares  Protein Sequence Analysis  Sparse Representation