Publications

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

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).

DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference

Published in Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DiffCrime utilizes a multimodal diffusion model to integrate historical cases, satellite imagery, and map data, and accurately generates urban crime risk maps through HamNet. The Root Mean Squared Error (RMSE) of the two real-world datasets is reduced by 43% and 31%, respectively.

Recommended citation: Shuliang Wang, Xinyu Pan, Sijie Ruan, Haoyu Han, Ziyu Wang, Hanning Yuan, Jiabao Zhu, and Qi Li. 2024. DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24). Association for Computing Machinery, New York, NY, USA, 3212–3221. https://doi.org/10.1145/3637528.3671843 https://doi.org/10.1145/3637528.3671843

DelvMap: Completing Residential Roads in Maps Based on Couriers’ Trajectories and Satellite Imagery

Published in IEEE Transactions on Geoscience and Remote Sensing, 2024

This paper is about residential-level fine-grained digital map for last-mile delivery. Based on couriers’ trajectories and satellite images, this model has a better performance in real-world dataset.

Recommended citation: S. Wang et al., "DelvMap: Completing Residential Roads in Maps Based on Couriers’ Trajectories and Satellite Imagery," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2024.3365833. https://ieeexplore.ieee.org/document/10436072