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GraKerformer: A Transformer With Graph Kernel for Unsupervised Graph Representation Learning Journal article
Xu, Lixiang, Liu, Haifeng, Yuan, Xin, Chen, Enhong, Tang, Yuanyan. GraKerformer: A Transformer With Graph Kernel for Unsupervised Graph Representation Learning[J]. IEEE Transactions on Cybernetics, 2024, 54(12), 7320-7332.
Authors:  Xu, Lixiang;  Liu, Haifeng;  Yuan, Xin;  Chen, Enhong;  Tang, Yuanyan
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:9.4/10.3 | Submit date：2024/12/05
Graph Kernel  Graph Neural Networks (Gnns)  Structural Encoding Method  Transformer  
Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis Journal article
Xu, Lixiang, Cui, Qingzhe, Xu, Wei, Chen, Enhong, Tong, He, Tang, Yuanyan. Walk in Views: Multi-view Path Aggregation Graph Network for 3D Shape Analysis[J]. Information Fusion, 2024, 103, 102131.
Authors:  Xu, Lixiang;  Cui, Qingzhe;  Xu, Wei;  Chen, Enhong;  Tong, He; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:14.7/16.1 | Submit date：2024/04/02
3d Shape Analysis  Path Aggregation  Graph Networks  Vision Transformer  Multi-view Fusion  
Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding Journal article
Xu, Lixiang, Cui, Qingzhe, Hong, Richang, Xu, Wei, Chen, Enhong, Yuan, Xin, Li, Chenglong, Tang, Yuanyan. Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding[J]. IEEE Transactions on Multimedia, 2024, 1-14.
Authors:  Xu, Lixiang;  Cui, Qingzhe;  Hong, Richang;  Xu, Wei;  Chen, Enhong; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:8.4/8.0 | Submit date：2024/05/16
3d Object Recognition  3d Position Embedding  Aggregates  Computational Modeling  Feature Extraction  Knowledge Distillation  Long Short Term Memory  Multi-view Vit  Shape  Solid Modeling  Three-dimensional Displays  View Grouping  
Generalization capacity of multi-class SVM based on Markovian resampling Journal article
Dong,Zijie, Xu,Chen, Xu,Jie, Zou,Bin, Zeng,Jingjing, Tang,Yuan Yan. Generalization capacity of multi-class SVM based on Markovian resampling[J]. Pattern Recognition, 2023, 142, 109720.
Authors:  Dong,Zijie;  Xu,Chen;  Xu,Jie;  Zou,Bin;  Zeng,Jingjing; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2023/08/03
Generalization Bound  Learning Rate  Markovian Resampling  Msvm  
LSTM-DGMDH: High-Dimensional Index Tracking Based on LSTM and Adaptive Deep Evolutionary GMDH Neural Network Journal article
Tong, He, Liu, Yusheng, Liu, Lin, Li, Ning, Chen, Sibao, Xu, Lixiang, Tang, Yuanyan. LSTM-DGMDH: High-Dimensional Index Tracking Based on LSTM and Adaptive Deep Evolutionary GMDH Neural Network[J]. IEEE Access, 2023, 11, 115654-115667.
Authors:  Tong, He;  Liu, Yusheng;  Liu, Lin;  Li, Ning;  Chen, Sibao; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:3.4/3.7 | Submit date：2024/02/22
Attention Mechanism  Gmdh Neural Network  High-dimensional Index Tracking  Lstm  Tracking Error External Criterion  
GLCNet: Global-Local Complementary Network for 3D Shape Recognition Conference paper
Wang, Xiaofeng, Cui, Qingzhe, Xu, Lixiang, Liu, Haifeng, He, Lixin, Luo, Bin, Chen, Sibao, Tang, Yuanyan. GLCNet: Global-Local Complementary Network for 3D Shape Recognition[C], NEW YORK, USA:Institute of Electrical and Electronics Engineers Inc., 2023.
Authors:  Wang, Xiaofeng;  Cui, Qingzhe;  Xu, Lixiang;  Liu, Haifeng;  He, Lixin; et al.
Favorite | TC[WOS]:0 TC[Scopus]:2 | Submit date：2024/02/22
UGTransformer: Unsupervised Graph Transformer Representation Learning Conference paper
Xu, Lixiang, Liu, Haifeng, Cui, Qingzhe, Luo, Bin, Li, Ning, Chen, Yan, Tang, Yuanyan. UGTransformer: Unsupervised Graph Transformer Representation Learning[C], 2023.
Authors:  Xu, Lixiang;  Liu, Haifeng;  Cui, Qingzhe;  Luo, Bin;  Li, Ning; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2 | Submit date：2023/12/13
Graph Classification  Structural Encoding Methods  Transformer  Unsupervised Graph Representation Learning  
Double Auto-Weighted Tensor Robust Principal Component Analysis Journal article
Wang, Yulong, Kou, Kit Ian, Chen, Hong, Tang, Yuan Yan, Li, Luoqing. Double Auto-Weighted Tensor Robust Principal Component Analysis[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 32, 5114-5125.
Authors:  Wang, Yulong;  Kou, Kit Ian;  Chen, Hong;  Tang, Yuan Yan;  Li, Luoqing
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:10.8/12.1 | Submit date：2024/02/22
Double Weight Learning  Low-dimensional Structure  Tensor Nuclear Norm  Tensor Robust Pca  
Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning Journal article
Chen, Tingjian, Zeng, Ying, Yuan, Haoliang, Zhong, Guo, Lai, Loi Lei, Tang, Yuan Yan. Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning[J]. International Journal of Machine Learning and Cybernetics, 2022, 14(5), 1695-1709.
Authors:  Chen, Tingjian;  Zeng, Ying;  Yuan, Haoliang;  Zhong, Guo;  Lai, Loi Lei; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:3.1/3.6 | Submit date：2023/01/30
Adaptive Graph Learning  Multi-level Regularization  Multi-view Feature Selection  Unsupervised Learning  
Gaussian process image classification based on multi-layer convolution kernel function Journal article
Xu, Lixiang, Zhou, Biao, Li, Xinlu, Wu, Zhize, Chen, Yan, Wang, Xiaofeng, Tang, Yuanyan. Gaussian process image classification based on multi-layer convolution kernel function[J]. NEUROCOMPUTING, 2022, 480, 99-109.
Authors:  Xu, Lixiang;  Zhou, Biao;  Li, Xinlu;  Wu, Zhize;  Chen, Yan; et al.
Favorite | TC[WOS]:9 TC[Scopus]:12  IF:5.5/5.5 | Submit date：2022/05/04
Convolution Kernel Function  Gaussian Process  Image Classification  Multi-layer Kernel