WE-LSTM: Multi-Wavelet Enhanced Seasonal-Trend Denoising for Long-Term Time Series Forecasting.
Zhiwei Zhang|Jiwei Qin|Dezhi Sun|Xuefeng Feng|Huiguo Zhang
| Anthology ID: | DBLP:conf/mir/ZhangQSFZ25 |
|---|---|
| Volume: | Proceedings of the 2025 International Conference on Multimedia Retrieval, ICMR 2025, Chicago, IL, USA, 30 June 2025 - 3 July 2025 |
| Year: | 2025 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 1814-1822 |
| URL: | https://doi.org/10.1145/3731715.3733466 |
| DOI: | https://doi.org/10.1145/3731715.3733466 |
| DBLP: | conf/mir/ZhangQSFZ25 |
| BibTeX: |
@inproceedings{zhang-2025-welstm,
author = {Zhiwei Zhang and
Jiwei Qin and
Dezhi Sun and
Xuefeng Feng and
Huiguo Zhang},
editor = {Zhongfei Zhang and
Elisa Ricci and
Yan Yan and
Liqiang Nie and
Vincent Oria and
Lamberto Ballan},
title = {{WE-LSTM: Multi-Wavelet Enhanced Seasonal-Trend Denoising for Long-Term Time Series Forecasting}},
booktitle = {{Proceedings of the 2025 International Conference on Multimedia Retrieval, ICMR 2025, Chicago, IL, USA, 30 June 2025 - 3 July 2025}},
pages = {1814--1822},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3731715.3733466},
doi = {https://doi.org/10.1145/3731715.3733466}
}