| Inductive graph neural networks for spatiotemporal kriging Y Wu, D Zhuang, A Labbe, L Sun Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4478-4485, 2020 | 175 | 2020 |
| Uncertainty quantification of sparse travel demand prediction with spatial-temporal graph neural networks D Zhuang, S Wang, H Koutsopoulos, J Zhao Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 50 | 2022 |
| Low-rank Hankel tensor completion for traffic speed estimation X Wang, Y Wu, D Zhuang, L Sun IEEE Transactions on Intelligent Transportation Systems, 2021 | 49 | 2021 |
| Spatial aggregation and temporal convolution networks for real-time kriging Y Wu, D Zhuang, M Lei, A Labbe, L Sun arXiv preprint arXiv:2109.12144, 2021 | 28 | 2021 |
| Uncertainty quantification of spatiotemporal travel demand with probabilistic graph neural networks Q Wang, S Wang, D Zhuang, H Koutsopoulos, J Zhao IEEE Transactions on Intelligent Transportation Systems, 2024 | 27 | 2024 |
| Understanding the bike sharing travel demand and cycle lane network: The case of Shanghai D Zhuang, JG Jin, Y Shen, W Jiang International journal of sustainable transportation 15 (2), 111-123, 2021 | 26 | 2021 |
| Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction X Jiang, D Zhuang, X Zhang, H Chen, J Luo, X Gao Proceeding of CIKM 2023, 2023 | 21 | 2023 |
| From compound word to metropolitan station: Semantic similarity analysis using smart card data D Zhuang, S Hao, DH Lee, JG Jin Transportation Research Part C: Emerging Technologies 114, 322-337, 2020 | 19 | 2020 |
| ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks Z Wang, D Zhuang, Y Li, J Zhao, P Sun Proceeding of the 26th IEEE International Conference on Intelligent …, 2023 | 15 | 2023 |
| A universal framework of spatiotemporal bias block for long-term traffic forecasting F Liu, J Wang, J Tian, D Zhuang, L Miranda-Moreno, L Sun IEEE Transactions on Intelligent Transportation Systems 23 (10), 19064-19075, 2022 | 15 | 2022 |
| Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning Y Tang, Z Wang, A Qu, Y Yan, K Hou, D Zhuang, X Guo, J Zhao, Z Zhao, ... KDD UrbComp 2024 (Best Paper Award), 2024 | 13 | 2024 |
| Spatiotemporal graph neural networks with uncertainty quantification for traffic incident risk prediction X Gao, X Jiang, D Zhuang, H Chen, S Wang, J Haworth CoRR, 2023 | 13 | 2023 |
| Fairness-enhancing deep learning for ride-hailing demand prediction Y Zheng, Q Wang, D Zhuang, S Wang, J Zhao IEEE Open Journal of Intelligent Transportation Systems, 2023 | 12 | 2023 |
| Large language models for travel behavior prediction B Mo, H Xu, D Zhuang, R Ma, X Guo, J Zhao arXiv preprint arXiv:2312.00819, 2023 | 9 | 2023 |
| Uncertainty-aware probabilistic graph neural networks for road-level traffic crash prediction X Gao, X Jiang, J Haworth, D Zhuang, S Wang, H Chen, S Law Accident Analysis & Prevention 208, 107801, 2024 | 5 | 2024 |
| Timeseries suppliers allocation risk optimization via deep black litterman model J Luo, W Zhang, Y Fang, X Gao, D Zhuang, H Chen, X Jiang AAAI 2025, 2024 | 5 | 2024 |
| Fairness-enhancing vehicle rebalancing in the ride-hailing system X Guo, H Xu, D Zhuang, Y Zheng, J Zhao arXiv preprint arXiv:2401.00093, 2023 | 5 | 2023 |
| SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks D Zhuang, Y Bu, G Wang, S Wang, J Zhao Neural Information Processing Systems (NeurIPS) Temporal Graph Learning …, 2023 | 5 | 2023 |
| The Braess Paradox in Dynamic Traffic D Zhuang, Y Huang, V Jayawardana, J Zhao, D Suo, C Wu 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 4 | 2022 |
| ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning Y Tang, Z Wang, A Qu, Y Yan, Z Wu, D Zhuang, J Kai, K Hou, X Guo, ... EMNLP 2024, 2024 | 3 | 2024 |
Jinhua ZhaoProfessor of Cities and Transportation, Massachusetts Institute of TechnologyEmail yang diverifikasi di mit.edu