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AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network Conference paper
Milan, Jan 10-15, 2021
Authors:  Yuhang Zhang;  Hongshuai Ren;  Jiexia Ye;  Xitong Gao;  Yang Wang;  Kejiang Ye;  Cheng-Zhong Xu
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Graph Convolutional Network  Adjacency Matrix  End-to-end  Node Information Entropy  
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction Conference paper
Milan, 10-15 Jan. 2021
Authors:  Jiexia Ye;  Juanjuan Zhao;  Kejiang Ye;  Chengzhong Xu
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Gcn  Graph Convolutional Network  Gru  Relationship  Stock Movement  Stock Price  
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Journal article
IEEE Transactions on Intelligent Transportation Systems, 2020
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
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Accidents  Computer Architecture  Deep Learning  Deep Learning  Gcn  Gnns  Graph  Graph Convolution Network  Graph Neural Networks  Its.  Public Transportation  Roads  Task Analysis  Traffic Domain  Traffic Forecasting  Urban Areas  
Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior Journal article
Concurrency Computation, 2020
Authors:  Zhao,Juanjuan;  Ye,Jiexia;  Xu,Minxian;  Xu,Chengzhong
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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
BIGDATA 2020: Big Data – BigData 2020, Honolulu, HI, USA, 18 September 2020 - 20 September 2020
Authors:  Jiexia Ye;  JuanJuan Zhao;  Liutao Zhang;  ChengZhong Xu;  Jun Zhang;  Kejiang Ye
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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
Proceedings of the International Joint Conference on Neural Networks
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
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GCN  LSTM  Passenger flow forecasting  Spatial-Temporal Forecasting