Orchestrating Heterogeneous Experts: A Scalable MoE Framework with Anisotropy-Preserving Fusion.
Ye Liu|Wuji Chen|Xu Chen|Mang Li
| Anthology ID: | DBLP:conf/www/LiuCCL26 |
|---|---|
| Volume: | Companion Proceedings of the ACM Web Conference 2026, WWW Companion 2026, Dubai, United Arab Emirates, 29 June 2026 - 3 July 2026 |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1332-1338 |
| URL: | https://doi.org/10.1145/3774905.3797243 |
| DOI: | https://doi.org/10.1145/3774905.3797243 |
| DBLP: | conf/www/LiuCCL26 |
| BibTeX: |
@inproceedings{liu-2026-orchestrating,
author = {Ye Liu and
Wuji Chen and
Xu Chen and
Mang Li},
title = {{Orchestrating Heterogeneous Experts: A Scalable MoE Framework with Anisotropy-Preserving Fusion}},
booktitle = {{Companion Proceedings of the ACM Web Conference 2026, WWW Companion 2026, Dubai, United Arab Emirates, 29 June 2026 - 3 July 2026}},
pages = {1332--1338},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774905.3797243},
doi = {https://doi.org/10.1145/3774905.3797243}
}