Rongfan Li

According to our database, Rongfan Li authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

GNN-Based Spatio-Temporal Manifold Learning: An Application of Landslide Prediction.

Liu Yu, Rongfan Li, Kunpeng Zhang, Siyuan Liu, Goce Trajcevski, Jin Wu, Fan Zhou

Mach. Learn., May, 2026

2024

Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction.

Xovee Xu, Ting Zhong, Fan Zhou, Rongfan Li, Goce Trajcevski, Qinggang Meng

IEEE Trans. Cybern., January, 2024

2023

High Detectivity of PbS Films Deposited on Quartz Substrates: The Role of Enhanced Photogenerated Carrier Separation.

Quanjiang Lv, Rongfan Li, Liangchao Fan, Zhi Huang, Zhenyu Huan, Mingyang Yu, Haohua Li, Guiwu Liu, Guanjun Qiao, Junlin Liu

Sensors, October, 2023

2022

Landslide Displacement Prediction via Attentive Graph Neural Network.

Ping Kuang, Rongfan Li, Ying Huang, Jin Wu, Xucheng Luo, Fan Zhou

Remote. Sens., 2022

Detecting Runtime Exceptions by Deep Code Representation Learning with Attention-Based Graph Neural Networks.

Rongfan Li, Bihuan Chen, Fengyi Zhang, Chao Sun, Xin Peng

Proceedings of the IEEE International Conference on Software Analysis, 2022

Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning.

Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Probabilistic Fine-Grained Urban Flow Inference with Normalizing Flows.

Ting Zhong, Haoyang Yu, Rongfan Li, Xovee Xu, Xucheng Luo, Fan Zhou

Proceedings of the IEEE International Conference on Acoustics, 2022

A Probabilistic Framework for Land Deformation Prediction (Student Abstract).

Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Dynamic Manifold Learning for Land Deformation Forecasting.

Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A hybrid code representation learning approach for predicting method names.

Fengyi Zhang, Bihuan Chen, Rongfan Li, Xin Peng

J. Syst. Softw., 2021

Land Deformation Prediction via Slope-Aware Graph Neural Networks.

Fan Zhou, Rongfan Li, Goce Trajcevski, Kunpeng Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021