Dingyi Zhuang

According to our database, Dingyi Zhuang authored at least 41 papers between 2021 and 2026.

Collaborative distances:

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

2026

Ozone: A Unified Platform for Transportation Research.

Ou Zheng, Ruyi Feng, Yufeng Yang, Shengxuan Ding, Lishengsa Yue, Ye Li, Yunhan Zheng, Minwei Kong, Dingyi Zhuang, Ao Qu, Zhibin Li, Dongjie Wang, Wangyang Ying

CoRR, April, 2026

Risk-Controllable Multi-View Diffusion for Driving Scenario Generation.

Hongyi Lin, Wenxiu Shi, Heye Huang, Dingyi Zhuang, Song Zhang, Yang Liu, Xiaobo Qu, Jinhua Zhao

CoRR, March, 2026

TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction.

Dahai Yu, Rongchao Xu, Dingyi Zhuang, Yuheng Bu, Shenhao Wang, Guang Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing.

Yuhan Tang, Kangxin Cui, Jung Ho Park, Yibo Zhao, Xuan Jiang, Haoze He, Dingyi Zhuang, Shenhao Wang, Jiangbo Yu, Harilaos N. Koutsopoulos, Jinhua Zhao

CoRR, December, 2025

Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles.

Haicheng Liao, Huanming Shen, Bonan Wang, Yongkang Li, Yihong Tang, Chengyue Wang, Dingyi Zhuang, Kehua Chen, Hai Yang, Chengzhong Xu, Zhenning Li

CoRR, December, 2025

TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting.

Lingyu Jiang, Lingyu Xu, Peiran Li, Qianwen Ge, Dingyi Zhuang, Shuo Xing, Wenjing Chen, Xiangbo Gao, Ting-Hsuan Chen, Xueying Zhan, Xin Zhang, Ziming Zhang, Zhengzhong Tu, Michael Zielewski, Kazunori D. Yamada, Fangzhou Lin

CoRR, November, 2025

Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems.

Xinyu Chen, Dingyi Zhuang, HanQin Cai, Shenhao Wang, Jinhua Zhao

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library.

Minwei Kong, Ao Qu, Xiaotong Guo, Wenbin Ouyang, Chonghe Jiang, Han Zheng, Yining Ma, Dingyi Zhuang, Yuhan Tang, Junyi Li, Hai Wang, Cathy Wu, Jinhua Zhao

CoRR, October, 2025

Interpretable Time Series Autoregression for Periodicity Quantification.

Xinyu Chen, Vassilis Digalakis Jr, Lijun Ding, Dingyi Zhuang, Jinhua Zhao

CoRR, June, 2025

Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models.

Mingyi He, Yuebing Liang, Shenhao Wang, Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Li Tian, Jinhua Zhao

CoRR, May, 2025

Reimagining Urban Science: Scaling Causal Inference with Large Language Models.

Yutong Xia, Ao Qu, Yunhan Zheng, Yihong Tang, Dingyi Zhuang, Yuxuan Liang, Cathy Wu, Roger Zimmermann, Jinhua Zhao

CoRR, April, 2025

Virtual Nodes Improve Long-term Traffic Prediction.

Xiaoyang Cao, Dingyi Zhuang, Jinhua Zhao, Shenhao Wang

CoRR, January, 2025

Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study.

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Towards Foundation Model for Spatiotemporal Data Analysis.

Yuankai Wu, Xinyu Chen, Dingyi Zhuang

Proceedings of the 19th International Symposium on Spatial and Temporal Data, 2025

GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks.

Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction.

Dahai Yu, Dingyi Zhuang, Lin Jiang, Rongchao Xu, Xinyue Ye, Yuheng Bu, Shenhao Wang, Guang Wang

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning.

Yihong Tang, Ao Qu, Zhaokai Wang, Dingyi Zhuang, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Time Series Supplier Allocation via Deep Black-Litterman Model.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

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

IEEE Trans. Intell. Transp. Syst., August, 2024

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning.

Yihong Tang, Ao Qu, Zhaokai Wang, Dingyi Zhuang, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao

CoRR, 2024

Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network.

Dingyi Zhuang, Qingyi Wang, Yunhan Zheng, Xiaotong Guo, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao

CoRR, 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

SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks.

Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 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

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 26th 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