Leveraging Contrastive Learning and Spatial Encoding for Prediction in Traffic Networks with Expanding Infrastructure

Xu, Y., & Hassani, M. (2025). Leveraging Contrastive Learning and Spatial Encoding for Prediction in Traffic Networks with Expanding Infrastructure. In SAC ’25: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (pp. 1590-1599). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3672608.3707852 Abstract In modern urban environments, accurate traffic prediction is vital for managing congestion and optimizing Read More …

Best Paper Award at SAC 2025 for You Xu and Marwan Hassani

You Xu and Marwan Hassani have received the Best Paper Award Distributed Systems in the ACM/SIGAPP Symposium On Applied Computing (SAC 2025) in Catania, Italy with the paper titled “Leveraging Contrastive Learning and Spatial Encoding for Prediction in Traffic Networks with Expanding Infrastructure“. Congratulations to You and Marwan!