Jiexia Ye

According to our database, Jiexia Ye authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation.

Weiqi Zhang, Jiexia Ye, Ziyue Li, Jia Li, Fugee Tsung

CoRR, 2024

A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model.

Jiexia Ye, Weiqi Zhang, Ke Yi, Yongzi Yu, Ziyue Li, Jia Li, Fugee Tsung

CoRR, 2024

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