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PFENet++: Boosting Few-Shot Semantic Segmentation with the Noise-Filtered Context-Aware Prior Mask Journal article
Luo, Xiaoliu, Tian, Zhuotao, Zhang, Taiping, Yu, Bei, Tang, Yuan Yan, Jia, Jiaya. PFENet++: Boosting Few-Shot Semantic Segmentation with the Noise-Filtered Context-Aware Prior Mask[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(2), 1273 - 1289.
Authors:  Luo, Xiaoliu;  Tian, Zhuotao;  Zhang, Taiping;  Yu, Bei;  Tang, Yuan Yan; et al.
Favorite | TC[WOS]:8 TC[Scopus]:11  IF:20.8/22.2 | Submit date：2024/03/12
Few-shot Learning  Few-shot Segmentation  Scene Understanding  Semantic Segmentation  
Tensorial Multiview Representation for Saliency Detection via Nonconvex Approach Journal article
Xiaoli Sun, Xiujun Zhang, Chen Xu, Mingqing Xiao, Yuanyan Tang. Tensorial Multiview Representation for Saliency Detection via Nonconvex Approach[J]. IEEE Transactions on Cybernetics, 2022, 53(3), 1816 - 1829.
Authors:  Xiaoli Sun;  Xiujun Zhang;  Chen Xu;  Mingqing Xiao;  Yuanyan Tang
Favorite | TC[WOS]:7 TC[Scopus]:7  IF:9.4/10.3 | Submit date：2022/05/17
Log-determinant Function  Salient Object Detection  Sliced Laplacian Regularization  Tensor Group Sparse  Tensorial Feature Representation  
Indian Buffet Process-Based on Nonnegative Matrix Factorization with Single Binary Component Conference paper
Xindi Ma, Jie Gao, Xiaoyu Liu, Taiping Zhang, Yuan Yan Tang. Indian Buffet Process-Based on Nonnegative Matrix Factorization with Single Binary Component[C]:IEEE, 2021, 1139-1144.
Authors:  Xindi Ma;  Jie Gao;  Xiaoyu Liu;  Taiping Zhang;  Yuan Yan Tang
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/13
Exponential Gaussian Model  Indian Buffet Process  Nonnegative Matrix Factorization  Single Binary Components  
Defense against Advanced Persistent Threat through Data Backup and Recovery Journal article
Yang, Lu Xing, Huang, Kaifan, Yang, Xiaofan, Zhang, Yushu, Xiang, Yong, Tang, Yuan Yan. Defense against Advanced Persistent Threat through Data Backup and Recovery[J]. IEEE Transactions on Network Science and Engineering, 2020, 8(3), 2001-2013.
Authors:  Yang, Lu Xing;  Huang, Kaifan;  Yang, Xiaofan;  Zhang, Yushu;  Xiang, Yong; et al.
Favorite | TC[WOS]:20 TC[Scopus]:17  IF:6.7/6.0 | Submit date：2021/12/08
Advanced Persistent Threat  Data Backup And Recovery  Dbar-based Apt Defense Mechanism  Dbars Problem  Differential Game  Nash Equilibrium  Software-defined Networking  
Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification Journal article
Shu,Ting, Zhang,Bob, Tang,Yuan Yan. Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(8), 2847-2856.
Authors:  Shu,Ting;  Zhang,Bob;  Tang,Yuan Yan
Favorite | TC[WOS]:30 TC[Scopus]:36  IF:10.2/10.4 | Submit date：2021/03/11
Data Driven  Face Recognition  Imbalanced Classification  Spare Supervised Representation-based Classifier (Ssrc)  Sparse Representation-based Classification (Src)  
Adaptive parameter estimation of GMM and its application in clustering Journal article
Zhao, Linchang, Shang, Zhaowei, Tan, Jin, Luo, Xiaoliu, Zhang, Taiping, Wei, Yu, Tang, Yuan Yan. Adaptive parameter estimation of GMM and its application in clustering[J]. Future Generation Computer Systems, 2020, 106, 250-259.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Tan, Jin;  Luo, Xiaoliu;  Zhang, Taiping; et al.
Favorite | TC[WOS]:6 TC[Scopus]:9  IF:6.2/5.9 | Submit date：2021/12/06
Machine Learning  Parameter Estimation  Data Clustering  Variational Bayesian Expected Maximum  
Sparse Representation on Single Image Conference paper
JIN TAN, TAIPING ZHANG, YUAN YAN TANG. Sparse Representation on Single Image[C]:IEEE, 2019.
Authors:  JIN TAN;  TAIPING ZHANG;  YUAN YAN TANG
Favorite | TC[Scopus]:0 | Submit date：2022/05/17
Face Recognition  Single Image  Sparse Representation  
Sequential Pattern Learning via Kernel Alignment Conference paper
Cheng, Miao, Yang, Weibin, Li, Yonggang, Zhang, Shichao, Tsoi, Ah Chung, Tang, Yuan Yan. Sequential Pattern Learning via Kernel Alignment[C], IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2019, 50-55.
Authors:  Cheng, Miao;  Yang, Weibin;  Li, Yonggang;  Zhang, Shichao;  Tsoi, Ah Chung; et al.
Favorite | TC[WOS]:0 TC[Scopus]:5 | Submit date：2022/05/17
Pattern Alignment  Unsupervised Feature Learning  Scalable Learning  Kernel Alignment  
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  
Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification Journal article
Qin A., Shang Z., Tian J., Wang Y., Zhang T., Tang Y.Y.. Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16(2), 241-245.
Authors:  Qin A.;  Shang Z.;  Tian J.;  Wang Y.;  Zhang T.; et al.
Favorite | TC[WOS]:249 TC[Scopus]:284  IF:4.0/4.4 | Submit date：2019/02/11
Graph Convolutional  Hyperspectral Image (Hsi) Classification  Neural Network  Semisupervised Learning