Kaiqun Fu

1. Sosnet: A graph convolutional network approach to fine-grained cyberbullying detection

2. Streetnet: preference learning with convolutional neural network on urban crime perception

3. Titan: A spatiotemporal feature learning framework for traffic incident duration prediction

1. CRII: III: Learning Spatiotemporal Impacts of Text-enriched Traffic Events with Injection of Interpretability from Graph Neural Networks and Physics-Informed Machine Learning | NSF-2348443 | Role: PI

2. EAGER: PBI: Collaboration Patterns and Socio-Economic Impacts Analysis in Emerging Science and Technology with Machine Learning Algorithms | NSF-2431845 | Role: PI

1. NSF Panelist

2. IEEE BigData 2024 | Poster Chair

3. IEEE ICDM 2025| Demo Chair

4. Frontier in Big Data | Guest Editor

Group Link: https://kaichunf.github.io/