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cs.AI2026
Reconstructing Fraudulent Strategies in Online Payments via Interpretable Inverse Reinforcement Learning
Huilin He, Weiyu Han, Linbo Shao +4
Payment fraud causes financial losses and undermines users' trust in web payment services. Although fraud detection is a critical defense for payment security, complex and diverse…
cs.AI2026
Behavior-Grounded Semantic Enrichment for Financial Fraud Modeling and Reasoning
Linbo Shao, Huilin He, Yating Lou +1
In financial fraud detection, rich semantic context can provide important evidence for transaction behavior modeling and fraud reasoning. However, public real-world financial datas…
cs.AI2026
Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection
Zhixing Zuo, Huilin He, Jiasheng Wu +1
In recent years, Large Language Models (LLMs) have shown great capability in processing graph tasks such as fraud detection. However, most existing methods rely heavily on rich tex…