Biblio
Found 6 results
Filters: Author is Dingyi Zhuang [Clear All Filters]
Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks. IEEE Transactions on Intelligent Transportation Systems. 2024.
Fairness-enhancing deep learning for ride-hailing demand prediction. IEEE Open Journal of Intelligent Transportation Systems . 2023;4.
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. Temporal Graph Learning Workshop @ NeurIPS 2023. 2023.
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks. 2023 IEEE 26th International Conference on Intelligent Transportation Systems. 2023.
The Braess's Paradox in Dynamic Traffic. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 2022.