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Siamese networks with an online reweighted example for imbalanced data learning Journal article
Zhao, Linchang, Shang, Zhaowei, Tan, Jin, Zhou, Mingliang, Zhang, Mu, Gu, Dagang, Zhang, Taiping, Tang, Yuan Yan. Siamese networks with an online reweighted example for imbalanced data learning[J]. Pattern Recognition, 2022, 132, 108947.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Tan, Jin;  Zhou, Mingliang;  Zhang, Mu; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:7.5/7.6 | Submit date：2023/01/30
Few-shot Learning  Reweighted Example Learning  Data Mining  Imbalanced Learning  
Siamese pyramid residual module with local binary convolution network for single object tracking Journal article
Nie, Yan, Zhang, Taiping, Zhao, Linchang, Ma, Xindi, Tang, Yuanyan, Liu, Xiaoyu. Siamese pyramid residual module with local binary convolution network for single object tracking[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2021, 19(6), 2150026.
Authors:  Nie, Yan;  Zhang, Taiping;  Zhao, Linchang;  Ma, Xindi;  Tang, Yuanyan; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:0.9/1.1 | Submit date：2022/05/13
Local Binary Convolution Network  Object Tracking  Pyramid Residual Module  Siamese Networks  
Efficient residual attention network for single image super-resolution Journal article
Hao, Fangwei, Zhang, Taiping, Zhao, Linchang, Tang, Yuanyan. Efficient residual attention network for single image super-resolution[J]. Applied Intelligence, 2021, 52(1), 652-661.
Authors:  Hao, Fangwei;  Zhang, Taiping;  Zhao, Linchang;  Tang, Yuanyan
Favorite | TC[WOS]:10 TC[Scopus]:11  IF:3.4/3.9 | Submit date：2022/02/22
Channel Hourglass Residual Structure  Efficient Channel Attention Mechanism  Efficient Residual Attention Network  Image Super-resolution  
Multi-focus image fusion with Geometrical Sparse Representation Journal article
Tan, Jin, Zhang, Taiping, Zhao, Linchang, Luo, Xiaoliu, Tang, Yuan Yan. Multi-focus image fusion with Geometrical Sparse Representation[J]. SIGNAL PROCESSING-IMAGE COMMUNICATION, 2021, 92, 116130.
Authors:  Tan, Jin;  Zhang, Taiping;  Zhao, Linchang;  Luo, Xiaoliu;  Tang, Yuan Yan
Favorite | TC[WOS]:17 TC[Scopus]:22  IF:3.4/3.3 | Submit date：2021/12/07
Average Pooling  Geometrical Sparse Representation  Multi-focus Image Fusion  
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  
A cost-sensitive meta-learning classifier: SPFCNN-Miner Journal article
Zhao, Linchang, Shang, Zhaowei, Qin, Anyong, Zhang, Taiping, Zhao, Ling, Wei, Yu, Tang, Yuan Yan. A cost-sensitive meta-learning classifier: SPFCNN-Miner[J]. Future Generation Computer Systems, 2019, 100, 1031-1043.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Qin, Anyong;  Zhang, Taiping;  Zhao, Ling; et al.
Favorite | TC[WOS]:3 TC[Scopus]:5  IF:6.2/5.9 | Submit date：2022/05/17
Meta Learning  Few-shot Learning  Cost-sensitive Learning  Machine Learning  Siamese Parallel Fully-connected Networks  Data Mining  
Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks Journal article
Zhao, Linchang, Shang, Zhaowei, Zhao, Ling, Zhang, Taiping, Tang, Yuan Yan. Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks[J]. Neurocomputing, 2019, 352, 64-74.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Zhao, Ling;  Zhang, Taiping;  Tang, Yuan Yan
Favorite | TC[WOS]:22 TC[Scopus]:35  IF:5.5/5.5 | Submit date：2022/05/17
Cost-sensitive Learning  Deep Learning  Few-shot Learning  Siamese Parallel Fully-connected Networks  Software Defect Prediction  
Cost-Sensitive SPFCNN Miner for Classification of Imbalanced Data Conference paper
LINCHANG ZHAO, ZHAOWEI SHANG, LING ZHAO, YU WEI, YUAN YAN TANG. Cost-Sensitive SPFCNN Miner for Classification of Imbalanced Data[C]:IEEE, 2019, 8946485.
Authors:  LINCHANG ZHAO;  ZHAOWEI SHANG;  LING ZHAO;  YU WEI;  YUAN YAN TANG
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/17
Cost-sensitive Learning  Data Mining  Machine Learning  Siamese Parallel Fully-connected Networks