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} }