ViTs: Teaching Machines to See Time Series Anomalies Like Human Experts.
Zexin Wang|Changhua Pei|Yang Liu|Hengyue Jiang|Quan Zhou|Haotian Si|Hang Cui|Jianhui Li|Gaogang Xie|Jingjing Li|Dan Pei
| Anthology ID: | DBLP:conf/www/WangPLJZSCLXLP26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 5286-5297 |
| URL: | https://doi.org/10.1145/3774904.3792323 |
| DOI: | https://doi.org/10.1145/3774904.3792323 |
| DBLP: | conf/www/WangPLJZSCLXLP26 |
| BibTeX: |
@inproceedings{wang-2026-vits,
author = {Zexin Wang and
Changhua Pei and
Yang Liu and
Hengyue Jiang and
Quan Zhou and
Haotian Si and
Hang Cui and
Jianhui Li and
Gaogang Xie and
Jingjing Li and
Dan Pei},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{ViTs: Teaching Machines to See Time Series Anomalies Like Human Experts}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {5286--5297},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792323},
doi = {https://doi.org/10.1145/3774904.3792323}
}