DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction.
Zimo Wen|Hanwen Hu|Nan Fang|Shiyou Qian|Jian Cao
| Anthology ID: | DBLP:conf/cikm/WenHFQ025 |
|---|---|
| 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: | 3302-3311 |
| URL: | https://doi.org/10.1145/3746252.3761012 |
| DOI: | https://doi.org/10.1145/3746252.3761012 |
| DBLP: | conf/cikm/WenHFQ025 |
| BibTeX: |
@inproceedings{wen-2025-danet,
author = {Zimo Wen and
Hanwen Hu and
Nan Fang and
Shiyou Qian and
Jian Cao},
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 = {{DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {3302--3311},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761012},
doi = {https://doi.org/10.1145/3746252.3761012}
}