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} }