Rongfan Li

Orcid: 0000-0001-8055-8909

According to our database1, Rongfan Li authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Learning Spatiotemporal Manifold Representation for Probabilistic Land Deformation Prediction.
IEEE Trans. Cybern., January, 2024

2023
High Detectivity of PbS Films Deposited on Quartz Substrates: The Role of Enhanced Photogenerated Carrier Separation.
Sensors, October, 2023

2022
Landslide Displacement Prediction via Attentive Graph Neural Network.
Remote. Sens., 2022

Detecting Runtime Exceptions by Deep Code Representation Learning with Attention-Based Graph Neural Networks.
Proceedings of the IEEE International Conference on Software Analysis, 2022

Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning.
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.
Proceedings of the IEEE International Conference on Acoustics, 2022

A Probabilistic Framework for Land Deformation Prediction (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Dynamic Manifold Learning for Land Deformation Forecasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A hybrid code representation learning approach for predicting method names.
J. Syst. Softw., 2021

Land Deformation Prediction via Slope-Aware Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


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