Towards Efficient and Interpretable Medical Concept Representation via Ontology-driven Residual Vector Quantization.
Hang Lv|Kaisong Zhang|Yanchao Tan|Xing Chen
| Anthology ID: | DBLP:conf/www/LvZTC26 |
|---|---|
| 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: | 8645-8648 |
| URL: | https://doi.org/10.1145/3774904.3792930 |
| DOI: | https://doi.org/10.1145/3774904.3792930 |
| DBLP: | conf/www/LvZTC26 |
| BibTeX: |
@inproceedings{lv-2026-towards,
author = {Hang Lv and
Kaisong Zhang and
Yanchao Tan and
Xing Chen},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{Towards Efficient and Interpretable Medical Concept Representation via Ontology-driven Residual Vector Quantization}},
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 = {8645--8648},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792930},
doi = {https://doi.org/10.1145/3774904.3792930}
}