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Author

Beining Bao

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Preprint Sep 2026

MuSeR: Scalable Long-sequence Recommendation with Multi-interest Modeling

The contribution is a system-level integration that makes long-term, multi-interest, and multimodal modeling jointly deployable in a real-time production pipeline, together with the engineering practices required to sustain it.

Yong-Kang Fu, Bei-Ning Bao, Yu Jiang et al. · 0 citations
Book Open access Aug 2026

A Serial Two-Stage Framework for Robust Multimodal Fake News Detection via Adaptive Reasoning

The proliferation of social media has created fertile ground for misinformation, a challenge further intensified by recent advances in generative artificial intelligence. Modern fake news increasingly takes the form of sophisticated multimodal campaigns, where synthetic images and stylistically manipulated text are joi...

Mao-Lin Wang, Ziting Mai, Zi-Chun Liu et al. · 0 citations
Book Open access Aug 2026

A Serial Two-Stage Framework for Robust Multimodal Fake News Detection via Adaptive Reasoning

DAR-Lite is proposed, a serial two-stage framework that rethinks the detection pipeline through explicit decoupling of representation denoising and contextual reasoning, and achieves a favorable balance between detection performance and computational cost.

Maolin Wang, Ziting Mai, Zichun Liu et al. · 0 citations

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