Jiexia Ye

According to our database, Jiexia Ye authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling.

Furong Zheng, Juanjuan Zhao, Jiexia Ye, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu

IEEE Trans. Big Data, June, 2023

Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data.

Jiexia Ye, Juanjuan Zhao, Furong Zheng, Cheng-Zhong Xu

Neural Comput. Appl., February, 2023

Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior.

Juanjuan Zhao, Jiexia Ye, Minxian Xu, Cheng-Zhong Xu

Concurr. Comput. Pract. Exp., 2023

2022

GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data.

Juanjuan Zhao, Liutao Zhang, Kejiang Ye, Jiexia Ye, Jun Zhang, Fan Zhang, Cheng-Zhong Xu

IEEE Trans. Intell. Transp. Syst., 2022

MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems.

Juanjuan Zhao, Liutao Zhang, Jiexia Ye, Cheng-Zhong Xu

IEEE Trans. Intell. Transp. Syst., 2022

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

Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu

IEEE Trans. Intell. Transp. Syst., 2022

2021

Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction.

Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu

CoRR, 2021

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

Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu

CoRR, 2021

2020

Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction.

Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu

CoRR, 2020

Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting.

Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network.

Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye, Cheng-Zhong Xu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

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

Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems.

Jiexia Ye, Juanjuan Zhao, Liutao Zhang, Cheng-Zhong Xu, Jun Zhang, Kejiang Ye

Proceedings of the Big Data - BigData 2020, 2020

2019

Semi-Supervised Anti-Fraud Models for Cash Pre-Loan in Internet Consumer Finance.

Wanlin Sun, Ming Chen, Jiexia Ye, Yuhang Zhang, Cheng-Zhong Xu, Yangqing Zhang, Yaonan Wang, Wen Wu, Peng Zhang, Feipeng Qu

Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019