DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting.
Ruixin Ding|Yuqi Chen|Yu-Ting Lan|Wei Zhang
| Anthology ID: | DBLP:conf/cikm/Ding0L024 |
|---|---|
| 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: | 446-456 |
| URL: | https://doi.org/10.1145/3627673.3679724 |
| DOI: | https://doi.org/10.1145/3627673.3679724 |
| DBLP: | conf/cikm/Ding0L024 |
| BibTeX: |
@inproceedings{ding-2024-drformer,
author = {Ruixin Ding and
Yuqi Chen and
Yu-Ting Lan and
Wei Zhang},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long 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 = {446--456},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679724},
doi = {https://doi.org/10.1145/3627673.3679724}
}