Dingyi Zhuang

According to our database, Dingyi Zhuang authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning.

Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Kebing Hou, Dingyi Zhuang, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma

CoRR, 2024

Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model.

Jiayuan Luo, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Dingyi Zhuang, Hao Chen, Xinke Jiang

CoRR, 2024

Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System.

Xiaotong Guo, Hanyong Xu, Dingyi Zhuang, Yunhan Zheng, Jinhua Zhao

CoRR, 2024

2023

Low-Rank Hankel Tensor Completion for Traffic Speed Estimation.

Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun

IEEE Trans. Intell. Transp. Syst., May, 2023

Large Language Models for Travel Behavior Prediction.

Baichuan Mo, Hanyong Xu, Dingyi Zhuang, Ruoyun Ma, Xiaotong Guo, Jinhua Zhao

CoRR, 2023

Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction.

Xiaowei Gao, Xinke Jiang, Dingyi Zhuang, Huanfa Chen, Shenhao Wang, James Haworth

CoRR, 2023

Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN).

Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang

CoRR, 2023

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks.

Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun

CoRR, 2023

Fairness-enhancing deep learning for ride-hailing demand prediction.

Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Shenhao Wang, Jinhua Zhao

CoRR, 2023

Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks.

Qingyi Wang, Shenhao Wang, Dingyi Zhuang, Haris N. Koutsopoulos, Jinhua Zhao

CoRR, 2023

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks.

Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun, Shenhao Wang, Yulin Hu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Uncertainty Quantification in the Road-Level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN) (Short Paper).

Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang

Proceedings of the 12th International Conference on Geographic Information Science, 2023

Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction.

Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Universal Framework of Spatiotemporal Bias Block for Long-Term Traffic Forecasting.

Fuqiang Liu, Jiawei Wang, Jingbo Tian, Dingyi Zhuang, Luis Miranda-Moreno, Lijun Sun

IEEE Trans. Intell. Transp. Syst., 2022

The Braess Paradox in Dynamic Traffic.

Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu

CoRR, 2022

Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks.

Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

The Braess's Paradox in Dynamic Traffic.

Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging.

Yuankai Wu, Dingyi Zhuang, Mengying Lei, Aurélie Labbe, Lijun Sun

CoRR, 2021

Inductive Graph Neural Networks for Spatiotemporal Kriging.

Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021