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20232026
most citedMulti-modal Fake News Detection on Social Media via Multi-grained Information Fusion

2 citations · 4 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Grounding and Explaining Visual Evidence for AI-Generated Image Detection in Human-Centric Scenes

Kun Guo, Yuzhou Yang, Haoyue Wang +3

Rapid advances in image generation models call for interpretable AI-generated image detection methods that not only determine authenticity but also provide supporting visual eviden…

cs.MM2026

Self-Reflective Multi-modal Reasoning for Short-Video Fake News Detection

Pinjie Xu, Yuzhou Yang, Zhikai Tan +4

Recent fake news detection pipelines increasingly leverage large language models and vision-language models for reasoning-based analysis. However, several challenges remain open: i…

cs.MM2026

RoE-FND: Synergizing LLMs with Experiential Learning for Effective and Generalizable Evidence-Based Fake News Detection

Yuzhou Yang, Qichao Ying, Sheng Li +3

The proliferation of deceptive content in social networks necessitates robust Fake News Detection (FND) systems. Existing pipelines either train detectors on labeled data or levera…

cs.CL2025

RoE-FND: A Case-Based Reasoning Approach with Dual Verification for Fake News Detection via LLMs

Yuzhou Yang, Yangming Zhou, Zhiying Zhu +3

The proliferation of deceptive content online necessitates robust Fake News Detection (FND) systems. While evidence-based approaches leverage external knowledge to verify claims, e…

cs.IR2024

Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences

Yuzhou Yang, Yangming Zhou, Qichao Ying +2

Pioneer researches recognize evidences as crucial elements in fake news detection apart from patterns. Existing evidence-aware methods either require laborious pre-processing proce…

cs.CV2024★ 1 cited

Fact-checking based fake news detection: a review

Yuzhou Yang, Yangming Zhou, Qichao Ying +3

This paper reviews and summarizes the research results on fact-based fake news from the perspectives of tasks and problems, algorithm strategies, and datasets. First, the paper sys…

cs.CV2024★ 1 cited

PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning

Xuntao Liu, Yuzhou Yang, Qichao Ying +3

Deceptive images can be shared in seconds with social networking services, posing substantial risks. Tampering traces, such as boundary artifacts and high-frequency information, ha…

cs.CV2023★ 2 cited

Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion

Yangming Zhou, Yuzhou Yang, Qichao Ying +2

The easy sharing of multimedia content on social media has caused a rapid dissemination of fake news, which threatens society's stability and security. Therefore, fake news detecti…