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Jiexia Ye
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2020 – today
- 2024
- [j7]Jiexia Ye
, Juanjuan Zhao
A Heterogeneous Graph Convolution Based Method for Short-Term OD Flow Completion and Prediction in a Metro System. IEEE Trans. Intell. Transp. Syst. 25(11): 15614-15627 (2024) - [i6]Jiexia Ye, Weiqi Zhang, Ke Yi, Yongzi Yu, Ziyue Li
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model. CoRR abs/2405.02358 (2024) - [i5]Weiqi Zhang, Jiexia Ye, Ziyue Li, Jia Li, Fugee Tsung:
DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation. CoRR abs/2406.06620 (2024) - 2023
- [j6]Juanjuan Zhao
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) - [j5]Jiexia Ye, Juanjuan Zhao
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): 3325-3341 (2023) - [j4]Furong Zheng
Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling. IEEE Trans. Big Data 9(3): 991-1003 (2023) - 2022
- [j3]Jiexia Ye
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. IEEE Trans. Intell. Transp. Syst. 23(5): 3904-3924 (2022) - [j2]Juanjuan Zhao
MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems. IEEE Trans. Intell. Transp. Syst. 23(8): 13316-13329 (2022) - [j1]Juanjuan Zhao
GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data. IEEE Trans. Intell. Transp. Syst. 23(10): 18337-18351 (2022) - 2021
- [i4]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 abs/2107.01528 (2021) - [i3]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 abs/2108.03900 (2021) - 2020
- [c5]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 2020: 116-126 - [c4]Yuhang Zhang, Hongshuai Ren, Jiexia Ye, Xitong Gao
AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network. ICPR 2020: 5130-5136 - [c3]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction. ICPR 2020: 6702-6709 - [c2]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu
Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting. IJCNN 2020: 1-8 - [i2]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
Multi-View Graph Convolutional Networks for Relationship-Driven Stock Prediction. CoRR abs/2005.04955 (2020) - [i1]Jiexia Ye, Juanjuan Zhao, Kejiang Ye, Chengzhong Xu:
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey. CoRR abs/2005.11691 (2020)
2010 – 2019
- 2019
- [c1]Wanlin Sun, Ming Chen, Jiexia Ye, Yuhang Zhang, Cheng-Zhong Xu
Semi-Supervised Anti-Fraud Models for Cash Pre-Loan in Internet Consumer Finance. ICPS 2019: 635-640
Coauthor Index
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