Spatial Hierarchical Meta-Learning for Single-Point Map Matching
Published in Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Recommended citation: Sijie Ruan, Yiqing Zou, Qianyu Yang, Haoyu Han, Yeting Zhang, Ziqiang Yuan, Hanning Yuan and Shuliang Wang. 2025. Spatial Hierarchical Meta-Learning for Single-Point Map Matching. In Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '25).
SHSMM leverages gradient-based meta-learning to unify region-specific heterogeneity and cross-task commonality for single-point map matching in location-based services.
Recommended citation: Sijie Ruan, Yiqing Zou, Qianyu Yang, Haoyu Han, Yeting Zhang, Ziqiang Yuan, Hanning Yuan and Shuliang Wang. 2025. Spatial Hierarchical Meta-Learning for Single-Point Map Matching. In Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’25).