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Metro OD Matrix Prediction based on Multi-view Passenger Flow Evolution Trend Modeling Journal article
Furong Zheng, Juanjuan Zhao, Jiexia Ye, Xitong Gao, Kejiang Ye, Chengzhong Xu. Metro OD Matrix Prediction based on Multi-view Passenger Flow Evolution Trend Modeling[J]. IEEE Transactions on Big Data, 2022, 9(3), 991 - 1003.
Authors:  Furong Zheng;  Juanjuan Zhao;  Jiexia Ye;  Xitong Gao;  Kejiang Ye; et al.
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:7.5/5.8 | Submit date：2023/01/30
Graph Attention Networks  Origin Destination Prediction  
Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data Journal article
Jiexia Ye, Juanjuan Zhao, Furong Zheng, Chengzhong Xu. Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data[J]. NEURAL COMPUTING & APPLICATIONS, 2022, 35(4), 3325 - 3341.
Authors:  Jiexia Ye;  Juanjuan Zhao;  Furong Zheng;  Chengzhong Xu
Favorite | TC[WOS]:10 TC[Scopus]:12  IF:4.5/4.7 | Submit date：2023/01/30
Origin-destination Matrix Prediction  Destination Distribution Availability  Self-attention Mechanism  Temporal Convolution Network  
GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data Journal article
Zhao, Juanjuan, Zhang, Liutao, Ye, Kejiang, Ye, Jiexia, Zhang, Jun, Zhang, Fan, Xu, Chengzhong. GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(10), 18337-18351.
Authors:  Zhao, Juanjuan;  Zhang, Liutao;  Ye, Kejiang;  Ye, Jiexia;  Zhang, Jun; et al.
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:7.9/8.3 | Submit date：2022/08/05
Metro System  Afc Data  Wifi Access Data  Trajectory  Passenger Identification  
MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems Journal article
Zhao, Juanjuan, Zhang, Liutao, Ye, Jiexia, Xu, Chengzhong. MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(8), 13316-13329.
Authors:  Zhao, Juanjuan;  Zhang, Liutao;  Ye, Jiexia;  Xu, Chengzhong
Favorite | TC[WOS]:9 TC[Scopus]:8  IF:7.9/8.3 | Submit date：2022/05/13
Data Models  Deep Learning  Deep Learning  Destination Forecasting  Feature Extraction  Global Positioning System  Individual Mobility.  Its  Predictive Models  Real-time Systems  Trajectory  
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction Conference paper
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu. Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction[C], IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:IEEE, 2021, 6702 - 6709.
Authors:  Jiexia Ye;  Juanjuan Zhao;  Kejiang Ye;  Chengzhong Xu
Favorite | TC[WOS]:28 TC[Scopus]:51 | Submit date：2021/09/18
Gcn  Graph Convolutional Network  Gru  Relationship  Stock Movement  Stock Price  
AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network Conference paper
Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye, Cheng-Zhong Xu. AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network[C], IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:IEEE, 2021, 5130 - 5136.
Authors:  ; et al.
Favorite | TC[WOS]:5 TC[Scopus]:3 | Submit date：2021/09/18
Graph Convolutional Network  Adjacency Matrix  End-to-end  Node Information Entropy  
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  
Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior Journal article
Zhao,Juanjuan, Ye,Jiexia, Xu,Minxian, Xu,Chengzhong. Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 35(18), e6151.
Authors:  Zhao,Juanjuan;  Ye,Jiexia;  Xu,Minxian;  Xu,Chengzhong
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:1.5/1.5 | Submit date：2021/03/09
Crowd Behavior  Discrete Choice Model  Individual Destination Prediction  Neural Network  
A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems Conference paper
Jiexia Ye, JuanJuan Zhao, Liutao Zhang, ChengZhong Xu, Jun Zhang, Kejiang Ye. A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems[C], 2020, 116-126.
Authors:  Jiexia Ye;  JuanJuan Zhao;  Liutao Zhang;  ChengZhong Xu;  Jun Zhang; et al.
Favorite | TC[Scopus]:1 | Submit date：2021/09/18
Metro Systems  Afc Data  Data Mining  Intelligent Transportation Systems  Dynamic Od Flow  
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting Conference paper
Ye,Jiexia, Zhao,Juanjuan, Ye,Kejiang, Xu,Chengzhong. Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting[C], 2020.
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
Favorite | TC[WOS]:34 TC[Scopus]:34 | Submit date：2021/03/09
Gcn  Lstm  Passenger Flow Forecasting  Spatial-temporal Forecasting