Urban In-context Learning: A New Paradigm for Urban Indicator Prediction.
Zerong Deng|Liangzhe Han|Tongyu Zhu|Ziqi Miao|Yi Xu|Leilei Sun
| Anthology ID: | DBLP:conf/cikm/0001HZM0S25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 553-563 |
| URL: | https://doi.org/10.1145/3746252.3761426 |
| DOI: | https://doi.org/10.1145/3746252.3761426 |
| DBLP: | conf/cikm/0001HZM0S25 |
| BibTeX: |
@inproceedings{deng-2025-urban,
author = {Zerong Deng and
Liangzhe Han and
Tongyu Zhu and
Ziqi Miao and
Yi Xu and
Leilei Sun},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{Urban In-context Learning: A New Paradigm for Urban Indicator Prediction}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {553--563},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761426},
doi = {https://doi.org/10.1145/3746252.3761426}
}