STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading.
Yilei Zhao|Wentao Zhang|Tingran Yang|Yong Jiang|Fei Huang|Wei Yang Bryan Lim
| Anthology ID: | DBLP:conf/wsdm/0001ZY00L26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1017-1026 |
| URL: | https://doi.org/10.1145/3773966.3777972 |
| DOI: | https://doi.org/10.1145/3773966.3777972 |
| DBLP: | conf/wsdm/0001ZY00L26 |
| BibTeX: |
@inproceedings{zhao-2026-storm,
author = {Yilei Zhao and
Wentao Zhang and
Tingran Yang and
Yong Jiang and
Fei Huang and
Wei Yang Bryan Lim},
title = {{STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {1017--1026},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3777972},
doi = {https://doi.org/10.1145/3773966.3777972}
}