Jiexia Ye

21 papers A* 2B 4Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification.
AAAI
Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Fugee Tsung
2025 A* conf
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning.
IJCAI
Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Meng Zhao, Fugee Tsung
2025 J jnl
Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification.
CoRR
Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Fugee Tsung
2024 J jnl
A Heterogeneous Graph Convolution Based Method for Short-Term OD Flow Completion and Prediction in a Metro System.
IEEE Trans. Intell. Transp. Syst.
Jiexia Ye, Juanjuan Zhao, Furong Zheng, Cheng-Zhong Xu
2024 J jnl
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model.
CoRR
Jiexia Ye, Weiqi Zhang, Ke Yi, Yongzi Yu, Ziyue Li, Jia Li, Fugee Tsung
2024 J jnl
DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation.
CoRR
Weiqi Zhang, Jiexia Ye, Ziyue Li, Jia Li, Fugee Tsung
2023 J jnl
Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data.
Neural Comput. Appl.
Jiexia Ye, Juanjuan Zhao, Furong Zheng, Cheng-Zhong Xu
2023 J jnl
Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling.
IEEE Trans. Big Data
Furong Zheng, Juanjuan Zhao, Jiexia Ye, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu
2023 J jnl
Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior.
Concurr. Comput. Pract. Exp.
Juanjuan Zhao, Jiexia Ye, Minxian Xu, Cheng-Zhong Xu
2022 J jnl
GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data.
IEEE Trans. Intell. Transp. Syst.
Juanjuan Zhao, Liutao Zhang, Kejiang Ye, Jiexia Ye, Jun Zhang, Fan Zhang, Cheng-Zhong Xu
2022 J jnl
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey.
IEEE Trans. Intell. Transp. Syst.
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
2022 J jnl
MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems.
IEEE Trans. Intell. Transp. Syst.
Juanjuan Zhao, Liutao Zhang, Jiexia Ye, Cheng-Zhong Xu
2021 J jnl
Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting.
CoRR
Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2021 J jnl
Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction.
CoRR
Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2020 B conf
A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems.
BigData
Jiexia Ye, Juanjuan Zhao, Liutao Zhang, Cheng-Zhong Xu, Jun Zhang, Kejiang Ye
2020 B conf
AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network.
ICPR
Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye, Cheng-Zhong Xu
2020 J jnl
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey.
CoRR
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2020 B conf
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction.
ICPR
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2020 B conf
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting.
IJCNN
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2020 J jnl
Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction.
CoRR
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
2019 — conf
Semi-Supervised Anti-Fraud Models for Cash Pre-Loan in Internet Consumer Finance.
ICPS
Wanlin Sun, Ming Chen, Jiexia Ye, Yuhang Zhang, Cheng-Zhong Xu, Yangqing Zhang, Yaonan Wang, Wen Wu, Peng Zhang, Feipeng Qu