Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes.
Zhaoyan Wang|Xiangchi Song|In-Young Ko
| Anthology ID: | DBLP:conf/cikm/WangSK25 |
|---|---|
| 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: | 3240-3249 |
| URL: | https://doi.org/10.1145/3746252.3761330 |
| DOI: | https://doi.org/10.1145/3746252.3761330 |
| DBLP: | conf/cikm/WangSK25 |
| BibTeX: |
@inproceedings{wang-2025-forecasting,
author = {Zhaoyan Wang and
Xiangchi Song and
In-Young Ko},
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 = {{Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {3240--3249},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761330},
doi = {https://doi.org/10.1145/3746252.3761330}
}