An introduction to my research interests and recent work in Large Language Models, Multimodal Learning, and Social Computing.
Aug 15, 2025
We address fairness issues in graph anomaly detection, providing benchmark datasets and comprehensive evaluation frameworks for fair anomaly detection on graphs....
Jul 4, 2024
A novel subgraph reasoning paradigm for fake news detection that provides explainability while improving generalization through reinforcement learning and hierarchical graph attention networks.
Jun 1, 2022
We propose a fine-grained reasoning framework for fake news detection by following the human information-processing model and designing a prior-aware bi-channel kernel graph network....
Jan 1, 2022