Ronghui Xu (徐榕荟)
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 Spatial-temporal Data Analyze. Feel free to reach out if you’re interested in my work!
Contact Information
- GitHub
- Google Scholar
- rhxu[at]stu.ecnu.edu.cn
Research Publications
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.
- 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.
- 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.
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. https://doi.org/10.14778/3681954.3681971.
- 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. https://doi.org/10.1145/3627673.3679973.
- 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. https://doi.org/10.1016/j.knosys.2024.111750.
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.
http://dx.doi.org/10.1145/3627824. - 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. http://dx.doi.org/10.1145/3582553.
- 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. http://dx.doi.org/10.24963/ijcai.2023/271.
2022：
- Haoran Xu, Ronghui Xu, Meng Chen, Yang Liu, Xiaohui Yu. 2022. CAVE-SC: Inferring categories for venues using check-ins. Information Sciences. https://doi.org/10.1016/j.ins.2022.08.056.
2021：
- Meng Chen, Lei Zhu, Ronghui Xu, Yang Liu, Xiaohui Yu, Yilong Yin. 2021. Embedding Hierarchical Structures for Venue Category Representation. ACM TOIS. https://doi.org/10.1145/3478285.