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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]:0 TC[Scopus]:0  IF:14.7/16.1 | Submit date：2024/04/02
3d Shape Analysis  Graph Networks  Multi-view Fusion  Path Aggregation  Vision Transformer  
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]:1 TC[Scopus]:1  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
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  
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  
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]:8 TC[Scopus]:11  IF:5.5/5.5 | Submit date：2022/05/04
Convolution Kernel Function  Gaussian Process  Image Classification  Multi-layer Kernel  
Insightful view on the active sites of Ni/NixP for hydrogen evolution reaction Journal article
Chen, M.P., Liu, D., Chen, Y.Y., Liu, L., Du, X.Y., Feng, J.X., Zhou, P.F., Zi, B.Y., Liu, Q.J., Lo, K.H., Chen, S., Wang, S.P., Ip, F. I., Pan, H.. Insightful view on the active sites of Ni/NixP for hydrogen evolution reaction[J]. Applied Materials Today, 2022, 26(101343).
Authors:  Chen, M.P.;  Liu, D.;  Chen, Y.Y.;  Liu, L.;  Du, X.Y.; et al.
Favorite | TC[WOS]:15 TC[Scopus]:15  IF:7.2/7.8 | Submit date：2022/07/27
Hydrogen Evolution Reaction  Ni/nixp Hybrids  Active Sites  In-situ Raman Spectroscopy