1 citations · 1 across the 2 of their papers we have counts for
4 papers
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…
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…
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…
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding
Ruyao Xu, Taolin Zhang, Chengyu Wang +6
Knowledge-Enhanced Pre-trained Language Models (KEPLMs) improve the performance of various downstream NLP tasks by injecting knowledge facts from large-scale Knowledge Graphs (KGs)…