LagCNN: A Fast yet Effective Model for Multivariate Long-term Time Series Forecasting.
Linsen Li|Chunfei Jian|Feng Wan|Dongdong Geng|Ziquan Fang|Lu Chen|Yunjun Gao|Weihao Jiang|Jiang Zhu
| Anthology ID: | DBLP:conf/cikm/LiJWGF0GJZ24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1235-1244 |
| URL: | https://doi.org/10.1145/3627673.3679672 |
| DOI: | https://doi.org/10.1145/3627673.3679672 |
| DBLP: | conf/cikm/LiJWGF0GJZ24 |
| BibTeX: |
@inproceedings{li-2024-lagcnn,
author = {Linsen Li and
Chunfei Jian and
Feng Wan and
Dongdong Geng and
Ziquan Fang and
Lu Chen and
Yunjun Gao and
Weihao Jiang and
Jiang Zhu},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{LagCNN: A Fast yet Effective Model for Multivariate Long-term Time Series Forecasting}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {1235--1244},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679672},
doi = {https://doi.org/10.1145/3627673.3679672}
}