STORM: Exploiting Spatiotemporal Continuity for Trajectory Similarity Learning in Road Networks
- DOI
- 10.1109/tkde.2025.3650227
- Published
- 2026-03
- Container
- IEEE Transactions on Knowledge and Data Engineering
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tkde.2025.3650227,
title = {STORM: Exploiting Spatiotemporal Continuity for Trajectory Similarity Learning in Road Networks},
author = {Jialiang Li and Hua Lu and Cyrus Shahabi},
year = {2026},
journal = {IEEE Transactions on Knowledge and Data Engineering},
doi = {10.1109/tkde.2025.3650227},
url = {https://doi.org/10.1109/tkde.2025.3650227}
}RIS
TY - JOUR TI - STORM: Exploiting Spatiotemporal Continuity for Trajectory Similarity Learning in Road Networks AU - Jialiang Li AU - Hua Lu AU - Cyrus Shahabi PY - 2026 JO - IEEE Transactions on Knowledge and Data Engineering DO - 10.1109/tkde.2025.3650227 UR - https://doi.org/10.1109/tkde.2025.3650227 ER -
APA
Li, J., Lu, H., & Shahabi, C. (2026). STORM: Exploiting Spatiotemporal Continuity for Trajectory Similarity Learning in Road Networks. IEEE Transactions on Knowledge and Data Engineering. https://doi.org/10.1109/tkde.2025.3650227
Source records
- crossref · retrieved 2026-11-08T06:29:40.754Z