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.

Multiknowledge and LLM-inspired heterogeneous graph neural network for fake news detection

Published in IEEE Transactions on Computational Social Systems, 2025

This paper extends fake news detection with a richer semantic view that combines multiple knowledge sources and LLM-inspired semantic mining in one heterogeneous graph framework. It focuses on modeling relations among news, entities, and topics more explicitly so the detector can capture both factual inconsistency and higher-level semantic signals. The resulting model improves fake news detection performance across benchmark datasets while preserving the graph-based structure that underpins the earlier line of work.

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