| How to build a graph-based deep learning architecture in traffic domain: A survey J Ye, J Zhao, K Ye, C Xu IEEE Transactions on Intelligent Transportation Systems 23 (5), 3904-3924, 2020 | 239 | 2020 |
| Multi-graph convolutional network for relationship-driven stock movement prediction J Ye, J Zhao, K Ye, C Xu 2020 25th International Conference on Pattern Recognition (ICPR), 6702-6709, 2021 | 61 | 2021 |
| Multi-stgcnet: A graph convolution based spatial-temporal framework for subway passenger flow forecasting J Ye, J Zhao, K Ye, C Xu 2020 International joint conference on neural networks (IJCNN), 1-8, 2020 | 48 | 2020 |
| Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data J Ye, J Zhao, F Zheng, C Xu Neural Computing and Applications 35 (4), 3325-3341, 2023 | 14 | 2023 |
| GLTC: A metro passenger identification method across AFC data and sparse wifi data J Zhao, L Zhang, K Ye, J Ye, J Zhang, F Zhang, C Xu IEEE Transactions on Intelligent Transportation Systems 23 (10), 18337-18351, 2022 | 9 | 2022 |
| MDLF: A multi-view-based deep learning framework for individual trip destination prediction in public transportation systems J Zhao, L Zhang, J Ye, C Xu IEEE Transactions on Intelligent Transportation Systems 23 (8), 13316-13329, 2021 | 8 | 2021 |
| Metro OD matrix prediction based on multi-view passenger flow evolution trend modeling F Zheng, J Zhao, J Ye, X Gao, K Ye, C Xu IEEE Transactions on Big Data 9 (3), 991-1003, 2022 | 7 | 2022 |
| A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model J Ye, W Zhang, K Yi, Y Yu, Z Li, J Li, F Tsung arXiv preprint arXiv:2405.02358, 2024 | 6 | 2024 |
| Multi-view graph convolutional networks for relationship-driven stock prediction J Ye, J Zhao, K Ye, C Xu arXiv preprint arXiv:2005.04955, 2020 | 6 | 2020 |
| Semi-supervised anti-fraud models for cash pre-loan in internet consumer finance W Sun, M Chen, J Ye, Y Zhang, C Xu, Y Zhang, Y Wang, W Wu, P Zhang, ... 2019 IEEE International Conference on Industrial Cyber Physical Systems …, 2019 | 6 | 2019 |
| Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting J Ye, F Zheng, J Zhao, K Ye, C Xu arXiv preprint arXiv:2107.01528, 2021 | 5 | 2021 |
| Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior J Zhao, J Ye, M Xu, C Xu Concurrency and Computation: Practice and Experience 35 (18), e6151, 2023 | 3 | 2023 |
| Aoam: Automatic optimization of adjacency matrix for graph convolutional network Y Zhang, H Ren, J Ye, X Gao, Y Wang, K Ye, CZ Xu 2020 25th International Conference on Pattern Recognition (ICPR), 5130-5136, 2021 | 2 | 2021 |
| A data-driven method for dynamic OD passenger flow matrix estimation in urban metro systems J Ye, JJ Zhao, L Zhang, CZ Xu, J Zhang, K Ye Big Data–BigData 2020: 9th International Conference, Held as Part of the …, 2020 | 2 | 2020 |
| DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation W Zhang, J Ye, Z Li, J Li, F Tsung arXiv preprint arXiv:2406.06620, 2024 | | 2024 |
Cheng-Zhong Xu, IEEE FellowUniversity of Macau, Macau SAR, China在 um.edu.mo 的电子邮件经过验证
