| 2026 | KDD | MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction. | Ronghui Xu, Jihao Chen, Jindong Tian, Chenjuan Guo, Bin Yang |
| 2026 | WSDM | Waterlogformer: A Multimodal Model for Waterlogging Prediction. | Yinan Chen, Ronghui Xu, Endai Shu, Chenjuan Guo, Bin Yang |
| 2025 | CIKM | FinD | Jieyuan Mei, Jindong Tian, Ronghui Xu, Hanyue Wei, Chenjuan Guo, Bin Yang |
| 2025 | ICLR | Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems. | Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang |
| 2025 | ICLR | Incremental Causal Effect for Time to Treatment Initialization. | Andrew Ying, Zhichen Zhao, Ronghui Xu |
| 2025 | KDD | MM-Path: Multi-modal, Multi-granularity Path Representation Learning. | Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang |
| 2025 | KDD | SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation. | Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Bin Yang, Jilin Hu |
| 2025 | WWW | Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models. | Yongfu Wei, Yan Lin, Hongfan Gao, Ronghui Xu, Sean Bin Yang, Jilin Hu |
| 2024 | CIKM | Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. | Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang |
| 2024 | KDD | PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. | Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang |
| 2023 | IJCAI | Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. | Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen |