Xiaoxiao Ma

Xiaoxiao Ma

I am a Senior Applied Scientist at Oracle with 9+ years of experience across industry and research, including work at Amazon and internships in Australia. My work and research focus on agentic AI systems, natural language processing, large language models, automatic prompt optimization, RAG, graph neural networks, recommender systems, anomaly detection, deep generative models, and deep learning.

Contrastive multi-knowledge graph learning for fake news detection

Published in IEEE Transactions on Network Science and Engineering, 2025

This work studies fake news detection through multiple knowledge graphs and a contrastive learning objective designed to strengthen useful semantic relations while separating misleading signals. The method learns representations from complementary knowledge sources instead of relying only on article text or a single graph view. The published results show that this multi-knowledge contrastive setup improves robustness and detection quality on standard fake news benchmarks.

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