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20212026
most citedMultimodal Fake News Detection via CLIP-Guided Learning

6 citations · 26 across the 24 of their papers we have counts for

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5 papers · 1 filter

cs.MM2026

ReVR: Dual-Path Concept Reasoning for Multimodal Fake News Detection

Zhikai Tan, Yuzhou Yang, Qichao Ying +4

Vision-language models (VLMs) support multimodal fake news detection (FND) by producing explicit analyses. Recent methods further improve interpretability by organizing verificatio…

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.MM2022★ 2 cited

A DTCWT-SVD Based Video Watermarking resistant to frame rate conversion

Yifei Wang, Qichao Ying, Zhenxing Qian +2

Videos can be easily tampered, copied and redistributed by attackers for illegal and monetary usage. Such behaviors severely jeopardize the interest of content owners. Despite huge…

cs.MM2021

High-Capacity Framework for Reversible Data Hiding in Encrypted Image Using Pixel Predictions and Entropy Encoding

Yingqiang Qiu, Qichao Ying, Yuyan Yang +3

While the existing vacating room before encryption (VRBE) based schemes can achieve decent embedding rate, the payloads of the existing vacating room after encryption (VRAE) based…