| 2026 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | EMNLP | 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 |
| 2025 | ICLR | GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks. | Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao |
| 2025 | WWW | 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 |
| 2024 | EMNLP | 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 |
| 2023 | CIKM | 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 |
| 2022 | KDD | Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. | Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao |
| 2021 | AAAI | Inductive Graph Neural Networks for Spatiotemporal Kriging. | Yuankai Wu, Dingyi Zhuang, Aurlie Labbe, Lijun Sun |