Jiexia Ye

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Multi View Images

Convolutional Network

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Jiexia Ye, Weiqi Zhang, Ke Yi, Yongzi Yu, Ziyue Li, Jia Li, Fugee Tsung
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model. CoRR (2024)
Weiqi Zhang, Jiexia Ye, Ziyue Li, Jia Li, Fugee Tsung
DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation. CoRR (2024)
Jiexia Ye, Juanjuan Zhao, Furong Zheng, Cheng-Zhong Xu
Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data. Neural Comput. Appl. 35 (4) (2023)
Juanjuan Zhao, Jiexia Ye, Minxian Xu, Cheng-Zhong Xu
Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior. Concurr. Comput. Pract. Exp. 35 (18) (2023)
Furong Zheng, Juanjuan Zhao, Jiexia Ye, Xitong Gao, Kejiang Ye, Cheng-Zhong Xu
Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling. IEEE Trans. Big Data 9 (3) (2023)
Juanjuan Zhao, Liutao Zhang, Kejiang Ye, Jiexia Ye, Jun Zhang, Fan Zhang, Cheng-Zhong Xu
GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. IEEE Trans. Intell. Transp. Syst. 23 (5) (2022)
Juanjuan Zhao, Liutao Zhang, Jiexia Ye, Cheng-Zhong Xu
MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
Multi-View TRGRU: Transformer based Spatiotemporal Model for Short-Term Metro Origin-Destination Matrix Prediction. CoRR (2021)
Jiexia Ye, Furong Zheng, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting. CoRR (2021)
Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao, Yang Wang, Kejiang Ye, Cheng-Zhong Xu
AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network. ICPR (2020)
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. CoRR (2020)
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction. CoRR (2020)
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting. IJCNN (2020)
Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction. ICPR (2020)
Jiexia Ye, Juanjuan Zhao, Liutao Zhang, Cheng-Zhong Xu, Jun Zhang, Kejiang Ye
A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems. BigData Congress (2020)
Wanlin Sun, Ming Chen, Jiexia Ye, Yuhang Zhang, Cheng-Zhong Xu, Yangqing Zhang, Yaonan Wang, Wen Wu, Peng Zhang, Feipeng Qu
Semi-Supervised Anti-Fraud Models for Cash Pre-Loan in Internet Consumer Finance. ICPS (2019)