Chunxiang Jin

Papers

Total Citations

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About

Chunxiang Jin is a researcher at the intersection of artificial intelligence, spoken dialogue systems, and financial technology. Their primary research focuses on developing intelligent conversational agents for critical real-world applications, particularly in debt collection and fraud prevention within the FinTech sector. Jin’s most cited work, "Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection" (2020, 9 citations), introduces a novel approach that moves beyond rigid dialogue flows by using behavior cloning to create more adaptive and effective outbound calling systems. This work addresses the growing need for automation in internet finance lending. Building on this, Jin’s subsequent paper, "IFDDS: An Anti-fraud Outbound Robot" (2021, 2 citations), tackles the critical challenge of payment fraud, designing a system that can intelligently verify risky transactions without falsely blocking legitimate payments—a delicate balance that protects both customers and businesses. Through these contributions, Jin demonstrates a clear commitment to deploying AI that is both practical and socially beneficial, directly impacting the efficiency and security of modern financial services.