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Tide level prediction during typhoons based on variable topology in graph convolution recurrent neural networks Journal article
Shi, Xianwu, Chen, Peng, Ye, Zuchao, Zhang, Xinlong, Wang, Weiping. Tide level prediction during typhoons based on variable topology in graph convolution recurrent neural networks[J]. Ocean Engineering, 2024, 312, 119228.
Authors:  Shi, Xianwu;  Chen, Peng;  Ye, Zuchao;  Zhang, Xinlong;  Wang, Weiping
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/4.8 | Submit date：2024/10/10
Graph Convolutional Recurrent Network  Network Topology  Regional Multi-station Forecast  Tide Level Prediction  
CART-Gait: Cross Angle Refined Training of Cross-View Gait Recognition Conference paper
Liu, Yuxin, Chen, Jinyan, Gao, Zheyan, Li, Shitian. CART-Gait: Cross Angle Refined Training of Cross-View Gait Recognition[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Liu, Yuxin;  Chen, Jinyan;  Gao, Zheyan;  Li, Shitian
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Gait Recognition  Graph Convolutional Neural Network  Metric Learning  
Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network Journal article
Tang, Jingwei, Liu, Zhi, Hu, Jianming. Spatial-Temporal Wind Power Probabilistic Forecasting Based on Time-Aware Graph Convolutional Network[J]. IEEE Transactions on Sustainable Energy, 2024, 15(3), 1946-1956.
Authors:  Tang, Jingwei;  Liu, Zhi;  Hu, Jianming
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:8.6/8.6 | Submit date：2024/05/16
Time Zigzag  Flexible Convolution  Graph Convolutional Network  Heavy-tail Quantile Function  
A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification Journal article
Cheng, Chunbo, Zhang, Liming, Li, Hong, Cui, Wenjing, Gao, Junbin, Cun, Yuxiao. A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 5521416.
Authors:  Cheng, Chunbo;  Zhang, Liming;  Li, Hong;  Cui, Wenjing;  Gao, Junbin; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.6 | Submit date：2024/08/05
Convolutional Neural Network (Cnn)  Deep High-order Tensor Sparse Representation (Sr)  Deep Learning  Graph-based Learning (Gsl)  Hyperspectral Image (Hsi) Classification  
AGP-Net: Adaptive Graph Prior Network for Image Denoising Journal article
Jiang, Bo, Lu, Yao, Zhang, Bob, Lu, Guangming. AGP-Net: Adaptive Graph Prior Network for Image Denoising[J]. IEEE Transactions on Industrial Informatics, 2024, 20(3), 4753-4764.
Authors:  Jiang, Bo;  Lu, Yao;  Zhang, Bob;  Lu, Guangming
Favorite | TC[WOS]:3 TC[Scopus]:2  IF:11.7/11.4 | Submit date：2024/02/22
Adaptive Graph Prior Network (Agp-net)  Adaptive Systems  Economic Indicators  Graph Convolutional Networks (Gcns)  Graph Noise Prior (Gnp)  Graph Supplementary Prior (Gsp)  Image Denoising  Image Reconstruction  Noise Measurement  Noise Reduction  Transformer  Transformers  
Auto-Learning-GCN: An Ingenious Framework for Skeleton-Based Action Recognition Conference paper
Xin, Wentian, Liu, Yi, Liu, Ruyi, Miao, Qiguang, Shi, Cheng, Pun, Chi Man. Auto-Learning-GCN: An Ingenious Framework for Skeleton-Based Action Recognition[C]:SPRINGER-VERLAG BERLINHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2024, 29-42.
Authors:  Xin, Wentian;  Liu, Yi;  Liu, Ruyi;  Miao, Qiguang;  Shi, Cheng; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/05/16
Attention Mechanism  Graph Convolutional Network  Model Optimization  Skeleton-based Action Recognition  
Residual GCB-Net: Residual Graph Convolutional Broad Network on Emotion Recognition Journal article
Li, Qilin, Zhang, Tong, Chen, C. L.P., Yi, Ke, Chen, Long. Residual GCB-Net: Residual Graph Convolutional Broad Network on Emotion Recognition[J]. IEEE Transactions on Cognitive and Developmental Systems, 2023, 15(4), 1673 - 1685.
Authors:  Li, Qilin;  Zhang, Tong;  Chen, C. L.P.;  Yi, Ke;  Chen, Long
Favorite | TC[WOS]:25 TC[Scopus]:26  IF:5.0/4.6 | Submit date：2022/05/17
Broad Learning System (Bls)  Emotion Recognition  Graph Convolutional Broad Network (Gcb-net)  Graph Convolutional Neural Network (Cnn)  Residual Graph Convolutional Broad Network (Residual Gcb-net)  
An Improved Graph Convolutional Networks for Fault Diagnosis of Rolling Bearing with Limited Labeled Data Journal article
Xiao, Xiangqu, Li, Chaoshun, Huang, Jie, Yu ,Tian, Wong, Pak Kin. An Improved Graph Convolutional Networks for Fault Diagnosis of Rolling Bearing with Limited Labeled Data[J]. Measurement Science and Technology, 2023, 34(12), 125109.
Authors:  Xiao, Xiangqu;  Li, Chaoshun;  Huang, Jie;  Yu ,Tian;  Wong, Pak Kin
Favorite | TC[WOS]:10 TC[Scopus]:10  IF:2.7/2.4 | Submit date：2023/08/29
Fault Diagnosis  Improved Graph Convolutional Network  Graph-structured Data  Limited Labeled Data  Rolling Bearing  
Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis Journal article
Zuo, Qiankun, Hu, Junhua, Zhang, Yudong, Pan, Junren, Jing, Changhong, Chen, Xuhang, Meng, Xiaobo, Hong, Jin. Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis[J]. CMES - Computer Modeling in Engineering and Sciences, 2023, 137(3), 2129-2147.
Authors:  Zuo, Qiankun;  Hu, Junhua;  Zhang, Yudong;  Pan, Junren;  Jing, Changhong; et al.
Favorite | TC[WOS]:1 TC[Scopus]:4  IF:2.2/1.8 | Submit date：2024/02/23
Adversarial Graph Encoder  Dementia  Functional Brain Connectivity  Generative Transformer  Graph Convolutional Network  Label Distribution  
Automatic incident detection using edge-cloud collaboration based deep learning scheme for intelligent transportation systems Journal article
Lu, Yuhuan, Lin, Qinghai, Chi, Haiyang, Chen, Jin Yong. Automatic incident detection using edge-cloud collaboration based deep learning scheme for intelligent transportation systems[J]. Applied Intelligence, 2023, 53(21), 24864-24875.
Authors:  Lu, Yuhuan;  Lin, Qinghai;  Chi, Haiyang;  Chen, Jin Yong
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:3.4/3.9 | Submit date：2023/12/04
Automatic Incident Detection  Edge Computing  Graph Convolutional Network  Intelligent Transportation Systems  Variational Inference