Saishuai Liu

Papers

Total Citations

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About

Saishuai Liu is a researcher at the forefront of applying artificial intelligence to financial security and human-computer interaction. His primary research areas include anti-fraud systems, conversational AI, and intelligent dialogue design for real-world applications. Liu’s most notable contribution is the development of IFDDS (Intelligent Fraud Detection and Dialogue System), an anti-fraud outbound robot that addresses a critical challenge in e-payment security: reducing false positives in risk-blocking systems. By designing a conversational agent that can verify suspicious transactions through natural dialogue, his work helps financial institutions protect customers from fraud without unnecessarily blocking legitimate payments. This innovative approach bridges the gap between automated risk assessment and human-centered verification, demonstrating how AI can enhance both security and user experience. With his paper gaining attention in the field, Liu’s research continues to influence the evolution of intelligent financial services, offering practical solutions to real-world problems in digital payment security.