Papers by Zhenzhe Ying

2 papers
Innovative Image Fraud Detection with Cross-Sample Anomaly Analysis: The Power of LLMs (2025.acl-long)

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Challenge: Existing methods for document image fraud detection lack visual clues on tampered regions.
Approach: They propose a framework for detecting logical inconsistencies in document images by leveraging LLMs.
Outcome: The proposed framework outperforms state-of-the-art fraud detection methods by 79.6% on CrossCred and industrial solutions by 21.7% on business data.
PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph (2024.lrec-main)

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Challenge: Existing studies have incorporated different digital traces to better learn the representations of social media users, limited by overloaded text information and hard-to-collect social network information.
Approach: They propose a Pre-training Architecture for Social Media User Modeling based on Text Graph and combine microblogs to represent social media users based upon the text graph model.
Outcome: The proposed framework can represent users based on text even without social network information on microblogs.

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