UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.
Xu Liu|Junfeng Hu|Yuan Li|Shizhe Diao|Yuxuan Liang|Bryan Hooi|Roger Zimmermann
| Anthology ID: | DBLP:conf/www/LiuHLDLHZ24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 4095-4106 |
| URL: | https://doi.org/10.1145/3589334.3645434 |
| DOI: | https://doi.org/10.1145/3589334.3645434 |
| DBLP: | conf/www/LiuHLDLHZ24 |
| BibTeX: |
@inproceedings{liu-2024-unitime,
author = {Xu Liu and
Junfeng Hu and
Yuan Li and
Shizhe Diao and
Yuxuan Liang and
Bryan Hooi and
Roger Zimmermann},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {4095--4106},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645434},
doi = {https://doi.org/10.1145/3589334.3645434}
}