| 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 |
| 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 |
| 2022 | KDD | Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. | Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao |
| 2014 | CoDIT | Polyhedral study for the maximum bounded r-tree problem. | Herv Kerivin, Jinhua Zhao |
| 2007 | HPCC | FTSCP: An Efficient Distributed Fault-Tolerant Service Composition Protocol for MANETs. | Zhenguo Gao, Sheng Liu, Ming Ji, Jinhua Zhao, Lihua Liang |
| 2007 | HPCC | A Generic Minimum Dominating Forward Node Set Based Service Discovery Protocol for MANETs. | Zhenguo Gao, Sheng Liu, Mei Yang, Jinhua Zhao, Jiguang Song |