SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting.
Xiongxiao Xu|Canyu Chen|Yueqing Liang|Baixiang Huang|Guangji Bai|Liang Zhao|Kai Shu
| Anthology ID: | DBLP:conf/cikm/XuCLHB0S25 |
|---|---|
| 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: | 3655-3665 |
| URL: | https://doi.org/10.1145/3746252.3761394 |
| DOI: | https://doi.org/10.1145/3746252.3761394 |
| DBLP: | conf/cikm/XuCLHB0S25 |
| BibTeX: |
@inproceedings{xu-2025-sst,
author = {Xiongxiao Xu and
Canyu Chen and
Yueqing Liang and
Baixiang Huang and
Guangji Bai and
Liang Zhao and
Kai Shu},
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 = {{SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {3655--3665},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761394},
doi = {https://doi.org/10.1145/3746252.3761394}
}