English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 18 Help

Selected(0)Clear Items/Page:    Sort:
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited Journal article
Wang, Zheng, Ding, Hongming, Pan, Li, Li, Jianhua, Gong, Zhiguo, Yu, Philip S.. From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024.
Authors:  Wang, Zheng;  Ding, Hongming;  Pan, Li;  Li, Jianhua;  Gong, Zhiguo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:10.2/10.4 | Submit date：2024/11/05
Data Mining  Graph Convolutional Neural Networks  Graph-based Semi-supervised Learning (Gssl)  
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  
URRNet: A Unified Relational Reasoning Network for Vehicle Re-identification Journal article
Jiuchao Qian, Minting Pan, Wei Tong, Rob Law, Edmond Q. Wu. URRNet: A Unified Relational Reasoning Network for Vehicle Re-identification[J]. IEEE Transactions on Vehicular Technology, 2023, 72(9), 11156 - 11168.
Authors:  Jiuchao Qian;  Minting Pan;  Wei Tong;  Rob Law;  Edmond Q. Wu
Favorite | TC[WOS]:9 TC[Scopus]:9  IF:6.1/6.5 | Submit date：2023/08/03
Cognition  Feature Extraction  Generative Adversarial Networks  Graph Convolutional Network  Measurement  Multi-view Matching  Relational Reasoning  Space Vehicles  Task Analysis  Vehicle Re-identification  Visualization  
A multi-site tide level prediction model based on graph convolutional recurrent networks Journal article
Xinlong Zhang, Tengfei Wang, Weiping Wang, Ping Shen, Zhongya Cai, Huayang Cai. A multi-site tide level prediction model based on graph convolutional recurrent networks[J]. Ocean Engineering, 2023, 269, 113579.
Authors:  Xinlong Zhang;  Tengfei Wang;  Weiping Wang;  Ping Shen;  Zhongya Cai; et al.
Favorite | TC[WOS]:7 TC[Scopus]:9  IF:4.6/4.8 | Submit date：2023/02/22
Multi-site Tide  Tide Level Prediction  Machine Learning  Graph Convolutional Recurrent Networks  
Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks Journal article
Lu, Yuhuan, Wang, Wei, Hu, Xiping, Xu, Pengpeng, Zhou, Shengwei, Cai, Ming. Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 24(8), 8452 - 8464.
Authors:  Lu, Yuhuan;  Wang, Wei;  Hu, Xiping;  Xu, Pengpeng;  Zhou, Shengwei; et al.
Favorite | TC[WOS]:26 TC[Scopus]:26  IF:7.9/8.3 | Submit date：2022/08/05
Trajectory  Vehicle Dynamics  Predictive Models  Convolutional Neural Networks  Roads  Feature Extraction  Dynamics  Traffic Big Data  Graph Neural Networks  Trajectory Prediction  Connected Vehicles  Interaction Context  
Sparsity-Induced Graph Convolutional Network for Semisupervised Learning Journal article
Zhou, Jianhang, Zeng, Shaoning, Zhang, Bob. Sparsity-Induced Graph Convolutional Network for Semisupervised Learning[J]. IEEE Transactions on Artificial Intelligence, 2021, 2(6), 549-564.
Authors:  Zhou, Jianhang;  Zeng, Shaoning;  Zhang, Bob
Favorite | TC[Scopus]:11
Example-feature graph convolutional networks for semi-supervised classification Journal article
Sichao Fu, Weifeng Liu, Kai Zhang, Yicong Zhou. Example-feature graph convolutional networks for semi-supervised classification[J]. Neurocomputing, 2021, 461, 63-76.
Authors:  Sichao Fu;  Weifeng Liu;  Kai Zhang;  Yicong Zhou
Favorite | TC[WOS]:12 TC[Scopus]:13  IF:5.5/5.5 | Submit date：2021/12/08
Convolutional Neural Networks  Data Representation Learning  Example-feature Graph  Graph Convolutional Networks  
Graph Based Multichannel Feature Fusion for Wrist Pulse Diagnosis Journal article
Zhang,Qi, Zhou,Jianhang, Zhang,Bob. Graph Based Multichannel Feature Fusion for Wrist Pulse Diagnosis[J]. IEEE Journal of Biomedical and Health Informatics, 2021.
Authors:  Zhang,Qi;  Zhou,Jianhang;  Zhang,Bob
Favorite | TC[WOS]:25 TC[Scopus]:30  IF:6.7/7.1 | Submit date：2021/03/11
Wrist Pulse Diagnosis  Pulse Signal  Graph Convolutional Networks  Feature Extraction  Feature Fusion  
Zero-shot Node Classification with Decomposed Graph Prototype Network Conference paper
Zheng Wang, Jialong Wang, Yuchen Guo, Zhiguo Gong. Zero-shot Node Classification with Decomposed Graph Prototype Network[C], 2021, 1769-1779.
Authors:  Zheng Wang;  Jialong Wang;  Yuchen Guo;  Zhiguo Gong
Favorite | TC[WOS]:19 TC[Scopus]:21 | Submit date：2021/12/08
Node Classification  Graph Convolutional Networks  Graph Data Analysis  
Human activity recognition by manifold regularization based dynamic graph convolutional networks Journal article
Liu, Weifeng, Fu, Sichao, Zhou, Yicong, Zha, Zheng Jun, Nie, Liqiang. Human activity recognition by manifold regularization based dynamic graph convolutional networks[J]. NEUROCOMPUTING, 2021, 444, 217-225.
Authors:  Liu, Weifeng;  Fu, Sichao;  Zhou, Yicong;  Zha, Zheng Jun;  Nie, Liqiang
Favorite | TC[WOS]:23 TC[Scopus]:26  IF:5.5/5.5 | Submit date：2021/12/08
Graph Convolutional Networks  Human Activity Recognition  Semi-supervised Learning