Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting.

Juyong Jiang|Binqing Wu|Ling Chen|Kai Zhang|Sunghun Kim


Anthology ID:DBLP:conf/cikm/JiangWCZK23
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:987-996
URL:https://doi.org/10.1145/3583780.3614868
DOI:https://doi.org/10.1145/3583780.3614868
DBLP:conf/cikm/JiangWCZK23
BibTeX:
@inproceedings{jiang-2023-enhancing, author = {Juyong Jiang and Binqing Wu and Ling Chen and Kai Zhang and Sunghun Kim}, 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 = {{Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {987--996}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3614868}, doi = {https://doi.org/10.1145/3583780.3614868} }