Exploring the generalizability of spatio-temporal traffic prediction: Meta-modeling and an analytic framework L Wang, D Chai, X Liu, L Chen, K Chen IEEE Transactions on Knowledge and Data Engineering 35 (4), 3870-3884, 2021 | 35 | 2021 |
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer L Chen, L Wang, J Xu, S Chen, W Wang, W Zhao, Q Li, L Wang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management L Chen, J Fang, Z Yu, Y Tong, S Cao, L Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmark L Chen, L Wang arXiv e-prints, arXiv: 2106.16046, 2021 | 3* | 2021 |
STORM: A Spatio-Temporal Context-Aware Model for Predicting Event-Triggered Abnormal Crowd Traffic Y Hong, H Zhu, T Shou, Z Wang, L Chen, L Wang, C Wang, L Chen IEEE Transactions on Intelligent Transportation Systems, 2024 | 1 | 2024 |
UCTB: An urban computing tool box for spatiotemporal crowd flow prediction L Chen, D Chai, L Wang arXiv preprint arXiv:2306.04144, 2023 | 1 | 2023 |
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks Y Wu, L Chen, Y Cheng, S Chen, J Xu, L Wang arXiv preprint arXiv:2406.02979, 2024 | | 2024 |
A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units L Chen, J Fang, T Liu, S Cao, L Wang Proceedings of the 40th IEEE International Conference on Data Engineering, 2024 | | 2024 |