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FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction Conference paper
Yang, Linghua, Chen, Wantong, He, Xiaoxi, Wei, Shuyue, Xu, Yi, Zhou, Zimu, Tong, Yongxin. FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction[C], New York, NY, USA:Association for Computing Machinery, 2024, 6105–6116.
Authors:  Yang, Linghua;  Chen, Wantong;  He, Xiaoxi;  Wei, Shuyue;  Xu, Yi; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/11
Federated Learning  Traffic Prediction  Spatial-temporal Graph Neural Network  
Multi-view dynamic graph convolution neural network for traffic flow prediction Journal article
Huang,Xiaohui, Ye,Yuming, Yang,Xiaofei, Xiong,Liyan. Multi-view dynamic graph convolution neural network for traffic flow prediction[J]. Expert Systems with Applications, 2023, 222, 119779.
Authors:  Huang,Xiaohui;  Ye,Yuming;  Yang,Xiaofei;  Xiong,Liyan
Favorite | TC[WOS]:25 TC[Scopus]:27  IF:7.5/7.6 | Submit date：2023/08/03
Dynamic Fusion  Graph Convolution Network  Multi-view Encoder–decoders  Traffic Flow Prediction  
Expansion Planning of Soft Open Points Based Distribution System Considering EV Traffic Flow Journal article
Shen,Yichen, Zhang,Shenxi, Ding,Maosheng, Cheng,Haozhong, Li,Canbing, Liu,Dundun. Expansion Planning of Soft Open Points Based Distribution System Considering EV Traffic Flow[J]. IEEE Transactions on Industry Applications, 2023, 60(1), 1229-1239.
Authors:  Shen,Yichen;  Zhang,Shenxi;  Ding,Maosheng;  Cheng,Haozhong;  Li,Canbing; et al.
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:4.2/4.5 | Submit date：2023/08/03
Distribution System Planning  Ev Navigation  Soft Open Points  Traffic Flow  Transportation Network  
A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification Journal article
Peng Lin, Kejiang Ye, Yishen Hu, Yanying Lin, Cheng Zhong Xu. A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification[J]. IEEE-ACM TRANSACTIONS ON NETWORKING, 2022, 31(3), 1369-1384.
Authors:  Peng Lin;  Kejiang Ye;  Yishen Hu;  Yanying Lin;  Cheng Zhong Xu
Favorite | TC[WOS]:16 TC[Scopus]:17  IF:3.0/3.6 | Submit date：2023/01/30
Cryptography  Deep Learning  Encrypted Traffic Classification  Encryption  Feature Extraction  Markov Processes  Multimodal Learning  Network Security  Protocols  Quality Of Service  Servers  
Multi-mode dynamic residual graph convolution network for traffic flow prediction Journal article
Huang, Xiaohui, Ye, Yuming, Ding, Weihua, Yang, Xiaofei, Xiong, Liyan. Multi-mode dynamic residual graph convolution network for traffic flow prediction[J]. INFORMATION SCIENCES, 2022, 609, 548-564.
Authors:  Huang, Xiaohui;  Ye, Yuming;  Ding, Weihua;  Yang, Xiaofei;  Xiong, Liyan
Favorite | TC[WOS]:22 TC[Scopus]:23  IF:0/0 | Submit date：2022/08/02
Graph Convolution Network  Multi-mode Fusion  Spatio-temporal Data  Traffic Flow Prediction  
Multi-step Coupled Graph Convolution with Temporal-Attention for Traffic Flow Prediction Journal article
Huang, Xiaohui, Ye, Yuming, Yang, Xiaofei, Xiong, Liyan. Multi-step Coupled Graph Convolution with Temporal-Attention for Traffic Flow Prediction[J]. IEEE Access, 2022, 10, 48179-48192.
Authors:  Huang, Xiaohui;  Ye, Yuming;  Yang, Xiaofei;  Xiong, Liyan
Favorite | TC[WOS]:5 TC[Scopus]:7  IF:3.4/3.7 | Submit date：2022/05/17
Graph Convolutional Network  Multi-step Attention  Traffic Flow Prediction  
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning Journal article
Li,Zhenning, Yu,Hao, Zhang,Guohui, Dong,Shangjia, Xu,Cheng Zhong. Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 125, 103059.
Authors:  Li,Zhenning;  Yu,Hao;  Zhang,Guohui;  Dong,Shangjia;  Xu,Cheng Zhong
Favorite | TC[WOS]:75 TC[Scopus]:96  IF:7.6/9.6 | Submit date：2021/05/31
Multi-agent Reinforcement Learning  Knowledge Sharing  Adaptive Traffic Signal Control  Deep Learning  Transportation Network  
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Review article
2020
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
Favorite | TC[WOS]:150 TC[Scopus]:130  IF:7.9/8.3 | Submit date：2021/03/09
Graph Neural Networks  Gnns  Graph Convolution Network  Gcn  Graph  Deep Learning  Traffic Forecasting  Traffic Domain  Its  
Chapter 4 - The role of Internet of Things for adaptive traffic prioritization in wireless body area networks Book chapter
出自: Healthcare Paradigms in the Internet of Things Ecosystem:Elsevier, 2020, 页码:63-82
Authors:  Fasee Ullah;  Chi-Man Pun
Favorite | TC[Scopus]:6 | Submit date：2022/08/24
Biomedical Sensor  Carrier-sense Multiple Access/collision Avoidance  Contention Access Period  Contention-free Period  Guaranteed Time Slot  Internet Of Things  Medium Access Control  Specific Absorption Rate  Traffic Prioritization  Wireless Body Area Network  Wireless Sensor Networks  
Ridesourcing Behavior Analysis and Prediction: A Network Perspective Journal article
Chen, Duxin, Shao, Qi, Liu, Zhiyuan, Yu, Wenwu, Chen, C. L.Philip. Ridesourcing Behavior Analysis and Prediction: A Network Perspective[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 23(2), 1274-1283.
Authors:  Chen, Duxin;  Shao, Qi;  Liu, Zhiyuan;  Yu, Wenwu;  Chen, C. L.Philip
Favorite | TC[WOS]:4 TC[Scopus]:9  IF:7.9/8.3 | Submit date：2022/03/04
Complex Network  Entropy And Predictability  Non-markovian Features  Ridesourcing  Tncs  Traffic Behavior Analysis  Transportation Network Companies