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Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 53, 期号: 4, 页码: 2062-2072
作者:  Zhao, Chen;  Dai, Xingyuan;  Lv, Yisheng;  Niu, Jinglong;  Lin, Yilun
Adobe PDF(1921Kb)  |  收藏  |  浏览/下载：234/4  |  提交时间：2023/02/22
Intelligent Transportation Systems (ITS)  Artificial Systems, Computational Experiments, Parallel Execution (ACP)  Cyber–Physical–Social Systems (CPSS)  
Subgraph-aware graph structure revision for spatial-temporal graph modeling 期刊论文
NEURAL NETWORKS, 2022, 卷号: 154, 页码: 190-202
作者:  Wang, Yuhu;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1781Kb)  |  收藏  |  浏览/下载：168/1  |  提交时间：2023/01/09
Graph structure learning  Graph neural network  Spatial-temporal graph modeling  
Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 16, 页码: 14273-14286
作者:  Ouyang, Liwei;  Yuan, Yong;  Wang, Fei-Yue
Adobe PDF(2684Kb)  |  收藏  |  浏览/下载：422/32  |  提交时间：2022/09/19
Collaboration  Artificial intelligence  Data models  Computational modeling  Smart contracts  Blockchain  Distributed databases  Artificial intelligence (AI) collaboration  blockchain  ensemble learning  federated learning (FL)  smart contracts  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：246/32  |  提交时间：2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
TVGCN: Time-variant graph convolutional network for traffic forecasting 期刊论文
NEUROCOMPUTING, 2022, 卷号: 471, 页码: 118-129
作者:  Wang, Yuhu;  Fang, Shen;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(2050Kb)  |  收藏  |  浏览/下载：200/0  |  提交时间：2022/06/06
Spatial-temporal correlation  Graph convolutional network  Traffic forecasting  
Inductive Spatiotemporal Graph Convolutional Networks for Short-term Quantitative Precipitation Forecasting 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, 2022, 2022, 卷号: 0, 0, 期号: 0, 页码: 0, 0
作者:  Yajing, Wu;  Xuebing, Yang;  Yongqiang, Tang;  Chenyang, Zhang;  Guoping, Zhang;  Wensheng, Zhang
Adobe PDF(10052Kb)  |  收藏  |  浏览/下载：309/72  |  提交时间：2022/04/06
Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging