FEST: A Multi-way Framework with Enhanced Spatial-Temporal Modeling for Traffic Forecasting.
Yilin Li|Tszyin Guo|Ying Qiao|Zitong Bo|Hongan Wang
| Anthology ID: | DBLP:conf/mir/LiGQBW24 |
|---|---|
| Volume: | Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 599-607 |
| URL: | https://doi.org/10.1145/3652583.3658111 |
| DOI: | https://doi.org/10.1145/3652583.3658111 |
| DBLP: | conf/mir/LiGQBW24 |
| BibTeX: |
@inproceedings{li-2024-fest,
author = {Yilin Li and
Tszyin Guo and
Ying Qiao and
Zitong Bo and
Hongan Wang},
editor = {Cathal Gurrin and
Rachada Kongkachandra and
Klaus Sch\"{o}ffmann and
Duc-Tien Dang-Nguyen and
Luca Rossetto and
Shin'ichi Satoh and
Liting Zhou},
title = {{FEST: A Multi-way Framework with Enhanced Spatial-Temporal Modeling for Traffic Forecasting}},
booktitle = {{Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024}},
pages = {599--607},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3652583.3658111},
doi = {https://doi.org/10.1145/3652583.3658111}
}