Jiexia Ye
Orcid: 0000-0003-1001-5508
  According to our database1,
  Jiexia Ye
  authored at least 19 papers
  between 2019 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2025
Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification.
    
  
    CoRR, March, 2025
    
  
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning.
    
  
    Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
    
  
  2024
A Heterogeneous Graph Convolution Based Method for Short-Term OD Flow Completion and Prediction in a Metro System.
    
  
    IEEE Trans. Intell. Transp. Syst., November, 2024
    
  
    CoRR, 2024
    
  
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model.
    
  
    CoRR, 2024
    
  
  2023
Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling.
    
  
    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.
    
  
    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.
    
  
    Concurr. Comput. Pract. Exp., 2023
    
  
  2022
    IEEE Trans. Intell. Transp. Syst., 2022
    
  
MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems.
    
  
    IEEE Trans. Intell. Transp. Syst., 2022
    
  
    IEEE Trans. Intell. Transp. Syst., 2022
    
  
  2021
Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction.
    
  
    CoRR, 2021
    
  
Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting.
    
  
    CoRR, 2021
    
  
  2020
    CoRR, 2020
    
  
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting.
    
  
    Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
    
  
    Proceedings of the 25th International Conference on Pattern Recognition, 2020
    
  
    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.
    
  
    Proceedings of the Big Data - BigData 2020, 2020
    
  
  2019
    Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019