Search Results for author: Jiexia Ye

Found 4 papers, 3 papers with code

Completion and Augmentation based Spatiotemporal Deep Learning Approach for Short-Term Metro Origin-Destination Matrix Prediction under Limited Observable Data

1 code implementation9 Aug 2021 Jiexia Ye, Juanjuan Zhao, Furong Zheng, Chengzhong Xu

Due to the delayed effect in latest complete OD flow collection, complex spatiotemporal correlations of OD flows in high dimension, it is more challengeable than other traffic prediction tasks of time series.

Management Time Series +2

Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting

1 code implementation4 Jul 2021 Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu

Our main novelties are three aspects: (1) We enrich the spatiotemporal information of model inputs by fusing multi-view features (time, location and traffic states) (2) We build multiple kinds of spatial correlations based on both prior knowledge and data-driven knowledge to improve model performance especially in insufficient or noisy data cases.

Traffic Prediction

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

no code implementations24 May 2020 Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu

Recently, various novel deep learning techniques have been developed to process graph data, called graph neural networks (GNNs).

Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction

1 code implementation11 May 2020 Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu

However, it is well known that an individual stock price is correlated with prices of other stocks in complex ways.

Stock Prediction

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