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2020 – today
- 2025
[i21]Xiaoyang Cao, Dingyi Zhuang, Jinhua Zhao, Shenhao Wang:
Virtual Nodes Improve Long-term Traffic Prediction. CoRR abs/2501.10048 (2025)- [i20]Dingyi Zhuang, Hanyong Xu, Xiaotong Guo, Yunhan Zheng, Shenhao Wang, Jinhua Zhao:
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study. CoRR abs/2501.11214 (2025) - 2024
- [j3]Qingyi Wang
, Shenhao Wang, Dingyi Zhuang, Haris N. Koutsopoulos, Jinhua Zhao:
Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks. IEEE Trans. Intell. Transp. Syst. 25(8): 8770-8781 (2024) - [c8]Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Zhaofeng Wu, Dingyi Zhuang, Jushi Kai, Kebing Hou, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma:
ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning. EMNLP (Industry Track) 2024: 1413-1432 - [c7]Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao:
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. SIGSPATIAL/GIS 2024: 160-172 - [i19]Xiaotong Guo, Hanyong Xu, Dingyi Zhuang, Yunhan Zheng, Jinhua Zhao:
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System. CoRR abs/2401.00093 (2024) - [i18]Jiayuan Luo, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Dingyi Zhuang, Hao Chen, Xinke Jiang:
Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model. CoRR abs/2401.17350 (2024) - [i17]Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Kebing Hou, Dingyi Zhuang, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma:
Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning. CoRR abs/2402.07204 (2024) - [i16]Dingyi Zhuang, Qingyi Wang, Yunhan Zheng, Xiaotong Guo, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao:
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network. CoRR abs/2405.14079 (2024) - [i15]Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao:
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. CoRR abs/2409.08766 (2024) - [i14]Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao:
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks. CoRR abs/2410.09570 (2024) - [i13]Yihong Tang, Ao Qu, Zhaokai Wang, Dingyi Zhuang, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao:
Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning. CoRR abs/2410.16162 (2024) - 2023
- [j2]Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun:
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. IEEE Trans. Intell. Transp. Syst. 24(5): 4862-4871 (2023) - [c6]Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao:
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. CIKM 2023: 3983-3987 - [c5]Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang:
Uncertainty Quantification in the Road-Level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN) (Short Paper). GIScience 2023: 33:1-33:6 - [c4]Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun, Shenhao Wang, Yulin Hu:
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks. ITSC 2023: 1454-1459 - [i12]Qingyi Wang, Shenhao Wang, Dingyi Zhuang, Haris N. Koutsopoulos, Jinhua Zhao:
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks. CoRR abs/2303.04040 (2023) - [i11]Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Shenhao Wang, Jinhua Zhao:
Fairness-enhancing deep learning for ride-hailing demand prediction. CoRR abs/2303.05698 (2023) - [i10]Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun:
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks. CoRR abs/2305.06480 (2023) - [i9]Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao:
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. CoRR abs/2306.09882 (2023) - [i8]Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang:
Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN). CoRR abs/2307.13816 (2023) - [i7]Xiaowei Gao, Xinke Jiang, Dingyi Zhuang, Huanfa Chen, Shenhao Wang, James Haworth:
Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction. CoRR abs/2309.05072 (2023) - [i6]Baichuan Mo, Hanyong Xu, Dingyi Zhuang, Ruoyun Ma, Xiaotong Guo, Jinhua Zhao:
Large Language Models for Travel Behavior Prediction. CoRR abs/2312.00819 (2023) - 2022
- [j1]Fuqiang Liu, Jiawei Wang, Jingbo Tian, Dingyi Zhuang, Luis Miranda-Moreno, Lijun Sun:
A Universal Framework of Spatiotemporal Bias Block for Long-Term Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. 23(10): 19064-19075 (2022) - [c3]Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu:
The Braess's Paradox in Dynamic Traffic. ITSC 2022: 1018-1023 - [c2]Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao:
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. KDD 2022: 4639-4647 - [i5]Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu:
The Braess Paradox in Dynamic Traffic. CoRR abs/2203.03726 (2022) - [i4]Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao:
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. CoRR abs/2208.05908 (2022) - 2021
- [c1]Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun:
Inductive Graph Neural Networks for Spatiotemporal Kriging. AAAI 2021: 4478-4485 - [i3]Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun:
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. CoRR abs/2105.11335 (2021) - [i2]Yuankai Wu, Dingyi Zhuang, Mengying Lei, Aurélie Labbe, Lijun Sun:
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging. CoRR abs/2109.12144 (2021) - 2020
- [i1]Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun:
Inductive Graph Neural Networks for Spatiotemporal Kriging. CoRR abs/2006.07527 (2020)
Coauthor Index
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