| 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 |
| 2026 | KDD | Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion. | Baoshen Guo, Zhiqing Hong, Junyi Li, Shenhao Wang, Jinhua Zhao |
| 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 |
| 2022 | KDD | Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. | Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao |