ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction.

Shuhao Li|Yue Cui|Yan Zhao|Weidong Yang|Ruiyuan Zhang|Xiaofang Zhou


Anthology ID:DBLP:conf/cikm/LiCZYZ023
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1208-1217
URL:https://doi.org/10.1145/3583780.3615068
DOI:https://doi.org/10.1145/3583780.3615068
DBLP:conf/cikm/LiCZYZ023
BibTeX:
@inproceedings{li-2023-stmoe, author = {Shuhao Li and Yue Cui and Yan Zhao and Weidong Yang and Ruiyuan Zhang and Xiaofang Zhou}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {1208--1217}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3615068}, doi = {https://doi.org/10.1145/3583780.3615068} }