Ronghui Xu

According to our database, Ronghui Xu authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

MM-Path: Multi-modal, Multi-granularity Path Representation Learning.

Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks.

Chenjuan Guo, Ronghui Xu, Bin Yang, Yuan Ye, Tung Kieu, Yan Zhao, Christian S. Jensen

Proc. VLDB Endow., July, 2024

Modeling question difficulty for unbiased cognitive diagnosis: A causal perspective.

Xin Chen, Shaofei Feng, Min Yang, Kai Zhao, Ronghui Xu, Chaoran Cui, Meng Chen

Knowl. Based Syst., 2024

MM-Path: Multi-modal, Multi-granularity Path Representation Learning - Extended Version.

Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang

CoRR, 2024

Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems.

Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang

CoRR, 2024

DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone.

Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Jilin Hu, Bin Yang

CoRR, 2024

Orca: 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

CoRR, 2024

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version.

Chenjuan Guo, Ronghui Xu, Bin Yang, Ye Yuan, Tung Kieu, Yan Zhao, Christian S. Jensen

CoRR, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs.

Ronghui Xu, Weiming Huang, Jun Zhao, Meng Chen, Liqiang Nie

ACM Trans. Intell. Syst. Technol., December, 2023

TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation.

Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie

ACM Trans. Inf. Syst., October, 2023

Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information.

Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Embedding Hierarchical Structures for Venue Category Representation.

Meng Chen, Lei Zhu, Ronghui Xu, Yang Liu, Xiaohui Yu, Yilong Yin

ACM Trans. Inf. Syst., 2022

CAVE-SC: Inferring categories for venues using check-ins.

Haoran Xu, Ronghui Xu, Meng Chen, Yang Liu, Xiaohui Yu

Inf. Sci., 2022