Dingyi Zhuang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Spatio Temporal

Negative Binomial

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

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 (2024)
Xiaotong Guo, Hanyong Xu, Dingyi Zhuang, Yunhan Zheng, Jinhua Zhao
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System. CoRR (2024)
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) (2024)
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 (2024)
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 (2024)
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)
Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. IEEE Trans. Intell. Transp. Syst. 24 (5) (2023)
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 (2023)
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)
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 (2023)
Qingyi Wang, Shenhao Wang, Dingyi Zhuang, Haris N. Koutsopoulos, Jinhua Zhao
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks. CoRR (2023)
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)
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 (2023)
Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Shenhao Wang, Jinhua Zhao
Fairness-enhancing deep learning for ride-hailing demand prediction. CoRR (2023)
Baichuan Mo, Hanyong Xu, Dingyi Zhuang, Ruoyun Ma, Xiaotong Guo, Jinhua Zhao
Large Language Models for Travel Behavior Prediction. CoRR (2023)
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 (2023)
Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu
The Braess's Paradox in Dynamic Traffic. ITSC (2022)
Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. CoRR (2022)
Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu
The Braess Paradox in Dynamic Traffic. CoRR (2022)
Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. KDD (2022)
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) (2022)
Yuankai Wu, Dingyi Zhuang, Mengying Lei, Aurélie Labbe, Lijun Sun
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging. CoRR (2021)
Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun
Inductive Graph Neural Networks for Spatiotemporal Kriging. AAAI (2021)
Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. CoRR (2021)
Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun
Inductive Graph Neural Networks for Spatiotemporal Kriging. CoRR (2020)