MoE-LC: General-Purpose Lossless Compression for Multi-modal Data via Entropy-Aware Multi-Experts.

Zeyi Lu|Xiaoxiao Ma|Yujun Huang|Minxiao Chen|Bin Chen|Shu-Tao Xia


Anthology ID:DBLP:conf/www/LuMHCCX26
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:5111-5119
URL:https://doi.org/10.1145/3774904.3792150
DOI:https://doi.org/10.1145/3774904.3792150
DBLP:conf/www/LuMHCCX26
BibTeX:
@inproceedings{lu-2026-moelc, author = {Zeyi Lu and Xiaoxiao Ma and Yujun Huang and Minxiao Chen and Bin Chen and Shu-Tao Xia}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{MoE-LC: General-Purpose Lossless Compression for Multi-modal Data via Entropy-Aware Multi-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 = {5111--5119}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792150}, doi = {https://doi.org/10.1145/3774904.3792150} }