Biblio Author: Dingyi Zhuang
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2025
Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence,2025 -
2025
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study
WWW ’25: Companion Proceedings of the ACM on Web Conference 2025,2025 -
2022
The Braess’s Paradox in Dynamic Traffic
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC),2022 -
2024
Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks
IEEE Transactions on Intelligent Transportation Systems,2024 -
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 -
2023
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
Temporal Graph Learning Workshop @ NeurIPS 2023,2023 -
2023
Fairness-enhancing deep learning for ride-hailing demand prediction
IEEE Open Journal of Intelligent Transportation Systems,Volume4,2023 -
2022
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,2022
-
Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence,2025 -
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study
WWW ’25: Companion Proceedings of the ACM on Web Conference 2025,2025 -
The Braess’s Paradox in Dynamic Traffic
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC),2022 -
Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks
IEEE Transactions on Intelligent Transportation Systems,2024 -
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 -
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
Temporal Graph Learning Workshop @ NeurIPS 2023,2023 -
Fairness-enhancing deep learning for ride-hailing demand prediction
IEEE Open Journal of Intelligent Transportation Systems,Volume4,2023 -
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,2022