Ronghui Xu (徐榕荟)

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I am a PhD student from Decision Intelligence Lab, East China Normal University, supervised by Prof. Bin Yang. I completed my master’s degree at Shandong University in 2023, where I was advised by Prof. Meng Chen. I served as a reviewer for ICLR 2025 and KDD 2025.

My research focuses on Spatio-temporal Data Analysis. Feel free to reach out if you’re interested in my work!

Contact Information

Research Publications

2026：

  • Ronghui Xu, Jihao Chen, Jindong Tian, Chenjuan Guo, Bin Yang. 2026. MoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction. [SIGKDD].
  • Yinan Chen, Ronghui Xu, Endai Shu, Chenjuan Guo, Bin Yang. 2026. Waterlogformer: A Multimodal Model for Waterlogging Prediction. [WSDM].

2025：

  • Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang. 2025. MM-Path: Multi-modal, Multi-granularity Path Representation Learning. [SIGKDD]. (Paper link)
  • Jieyuan Mei, Jindong Tian, Ronghui Xu, Hanyue Wei, Chenjuan Guo, Bin Yang. FinD3: A Dual 3D State Space Model with Dynamic Hypergraph for Financial Stock Prediction. [CIKM]. (Paper link)
  • Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang. 2025. Air quality prediction with physics-informed dual neural odes in open systems. [ICLR]. (Paper link)
  • Yongfu Wei, Yan Lin, Hongfan Gao, Ronghui Xu, Sean Bin Yang, Jilin Hu. 2025. Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models. [WWW]. (Paper link)

2024：

  • Chenjuan Guo, Ronghui Xu, Bin Yang, Ye Yuan, Tung Kieu, Yan Zhao, Christian S Jensen. 2024. Efficient stochastic routing in path-centric uncertain road networks. [PVLDB]. (Paper link)
  • Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang. 2024. Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. [CIKM]. (Paper link)
  • Xin Chen, Shaofei Feng, Min Yang, Kai Zhao, Ronghui Xu, Chaoran Cui, Meng Chen. 2024. Modeling question difficulty for unbiased cognitive diagnosis: A causal perspective. [KBS]. (Paper link)

2023：

  • Ronghui Xu, Weiming Huang, Jun Zhao, Meng Chen, Liqiang Nie. 2023. A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs. [ACM TIST]. (Paper link)
  • Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie. 2023. TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. [ACM TOIS]. (Paper link)
  • Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen. 2023. Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. [IJCAI]. (Paper link)

2022：

  • Haoran Xu, Ronghui Xu, Meng Chen, Yang Liu, Xiaohui Yu. 2022. CAVE-SC: Inferring categories for venues using check-ins. [Information Sciences]. (Paper link)

2021：

  • Meng Chen, Lei Zhu, Ronghui Xu, Yang Liu, Xiaohui Yu, Yilong Yin. 2021. Embedding Hierarchical Structures for Venue Category Representation. [ACM TOIS]. (Paper link)