Dingyi Zhuang - RankMe

50 papers A* 5A 1B 1Journal 35Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Risk-Controllable Multi-View Diffusion for Driving Scenario Generation. CoRR Hongyi Lin, Wenxiu Shi, Heye Huang, Dingyi Zhuang, Song Zhang, Yang Liu, Xiaobo Qu, Jinhua Zhao
2026	A*	`conf`	TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction. AAAI Dahai Yu, Rongchao Xu, Dingyi Zhuang, Yuheng Bu, Shenhao Wang, Guang Wang
2026	J	`jnl`	TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction. CoRR Dahai Yu, Rongchao Xu, Dingyi Zhuang, Yuheng Bu, Shenhao Wang, Guang Wang
2025	J	`jnl`	AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library. CoRR 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
2025	J	`jnl`	Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems. IEEE Trans. Pattern Anal. Mach. Intell. Xinyu Chen, Dingyi Zhuang, HanQin Cai, Shenhao Wang, Jinhua Zhao
2025	A*	`conf`	GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks. ICLR Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao
2025	J	`jnl`	Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models. CoRR Mingyi He, Yuebing Liang, Shenhao Wang, Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Li Tian, Jinhua Zhao
2025	J	`jnl`	Interpretable Time Series Autoregression for Periodicity Quantification. CoRR Xinyu Chen, Vassilis Digalakis Jr, Lijun Ding, Dingyi Zhuang, Jinhua Zhao
2025	—	`conf`	Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study. WWW (Companion Volume) Dingyi Zhuang, Hanyong Xu, Xiaotong Guo, Yunhan Zheng, Shenhao Wang, Jinhua Zhao
2025	J	`jnl`	Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study. CoRR Dingyi Zhuang, Hanyong Xu, Xiaotong Guo, Yunhan Zheng, Shenhao Wang, Jinhua Zhao
2025	J	`jnl`	RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing. CoRR Yuhan Tang, Kangxin Cui, Jung Ho Park, Yibo Zhao, Xuan Jiang, Haoze He, Dingyi Zhuang, Shenhao Wang, Jiangbo Yu, Harilaos N. Koutsopoulos, Jinhua Zhao
2025	J	`jnl`	Reimagining Urban Science: Scaling Causal Inference with Large Language Models. CoRR Yutong Xia, Ao Qu, Yunhan Zheng, Yihong Tang, Dingyi Zhuang, Yuxuan Liang, Cathy Wu, Roger Zimmermann, Jinhua Zhao
2025	—	`conf`	Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning. EMNLP (Findings) Yihong Tang, Ao Qu, Zhaokai Wang, Dingyi Zhuang, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao
2025	J	`jnl`	Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles. CoRR Haicheng Liao, Huanming Shen, Bonan Wang, Yongkang Li, Yihong Tang, Chengyue Wang, Dingyi Zhuang, Kehua Chen, Hai Yang, Chengzhong Xu, Zhenning Li
2025	A*	`conf`	Time Series Supplier Allocation via Deep Black-Litterman Model. AAAI Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo
2025	J	`jnl`	TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting. CoRR 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
2025	B	`conf`	Towards Foundation Model for Spatiotemporal Data Analysis. SSTD Yuankai Wu, Xinyu Chen, Dingyi Zhuang
2025	—	`conf`	UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction. SIGSPATIAL/GIS Dahai Yu, Dingyi Zhuang, Lin Jiang, Rongchao Xu, Xinyue Ye, Yuheng Bu, Shenhao Wang, Guang Wang
2025	J	`jnl`	UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction. CoRR Dahai Yu, Dingyi Zhuang, Lin Jiang, Rongchao Xu, Xinyue Ye, Yuheng Bu, Shenhao Wang, Guang Wang
2025	J	`jnl`	Virtual Nodes Improve Long-term Traffic Prediction. CoRR Xiaoyang Cao, Dingyi Zhuang, Jinhua Zhao, Shenhao Wang
2024	J	`jnl`	Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network. CoRR Dingyi Zhuang, Qingyi Wang, Yunhan Zheng, Xiaotong Guo, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao
2024	J	`jnl`	Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System. CoRR Xiaotong Guo, Hanyong Xu, Dingyi Zhuang, Yunhan Zheng, Jinhua Zhao
2024	J	`jnl`	GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks. CoRR Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao
2024	—	`conf`	ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning. EMNLP (Industry Track) Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Zhaofeng Wu, Dingyi Zhuang, Jushi Kai, Kebing Hou, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma
2024	—	`conf`	SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. SIGSPATIAL/GIS Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao
2024	J	`jnl`	SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. CoRR Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao
2024	J	`jnl`	Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning. CoRR Yihong Tang, Ao Qu, Zhaokai Wang, Dingyi Zhuang, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao
2024	J	`jnl`	Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning. CoRR Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Kebing Hou, Dingyi Zhuang, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma
2024	J	`jnl`	Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model. CoRR Jiayuan Luo, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Dingyi Zhuang, Hao Chen, Xinke Jiang
2024	J	`jnl`	Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks. IEEE Trans. Intell. Transp. Syst. Qingyi Wang, Shenhao Wang, Dingyi Zhuang, Haris N. Koutsopoulos, Jinhua Zhao
2023	J	`jnl`	Fairness-enhancing deep learning for ride-hailing demand prediction. CoRR Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Shenhao Wang, Jinhua Zhao
2023	J	`jnl`	Large Language Models for Travel Behavior Prediction. CoRR Baichuan Mo, Hanyong Xu, Dingyi Zhuang, Ruoyun Ma, Xiaotong Guo, Jinhua Zhao
2023	J	`jnl`	Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. IEEE Trans. Intell. Transp. Syst. Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun
2023	—	`conf`	ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks. ITSC Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun, Shenhao Wang, Yulin Hu
2023	J	`jnl`	ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks. CoRR Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun
2023	J	`jnl`	Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction. CoRR Xiaowei Gao, Xinke Jiang, Dingyi Zhuang, Huanfa Chen, Shenhao Wang, James Haworth
2023	—	`conf`	Uncertainty Quantification in the Road-Level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN) (Short Paper). GIScience Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang
2023	J	`jnl`	Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network(STZINB-GNN). CoRR Xiaowei Gao, James Haworth, Dingyi Zhuang, Huanfa Chen, Xinke Jiang
2023	J	`jnl`	Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks. CoRR Qingyi Wang, Shenhao Wang, Dingyi Zhuang, Haris N. Koutsopoulos, Jinhua Zhao
2023	A	`conf`	Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. CIKM Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao
2023	J	`jnl`	Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. CoRR Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao
2022	J	`jnl`	A Universal Framework of Spatiotemporal Bias Block for Long-Term Traffic Forecasting. IEEE Trans. Intell. Transp. Syst. Fuqiang Liu, Jiawei Wang, Jingbo Tian, Dingyi Zhuang, Luis Miranda-Moreno, Lijun Sun
2022	J	`jnl`	The Braess Paradox in Dynamic Traffic. CoRR Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu
2022	—	`conf`	The Braess's Paradox in Dynamic Traffic. ITSC Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu
2022	A*	`conf`	Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. KDD Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao
2022	J	`jnl`	Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. CoRR Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao
2021	A*	`conf`	Inductive Graph Neural Networks for Spatiotemporal Kriging. AAAI Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun
2021	J	`jnl`	Low-Rank Hankel Tensor Completion for Traffic Speed Estimation. CoRR Xudong Wang, Yuankai Wu, Dingyi Zhuang, Lijun Sun
2021	J	`jnl`	Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging. CoRR Yuankai Wu, Dingyi Zhuang, Mengying Lei, Aurélie Labbe, Lijun Sun
2020	J	`jnl`	Inductive Graph Neural Networks for Spatiotemporal Kriging. CoRR Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun