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Author

Yong-Kang Fu

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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
Preprint Sep 2026

UNIQUE: A Unified Retrieval and Ranking System for Large-Scale Feed Recommendation

Industrial mobile feed systems rely on a retrieval-ranking pipeline to serve large-scale, heterogeneous, and fast-changing content under strict latency constraints. However, existing pipelines still suffer from two critical issues: hierarchical quantization instability in candidate retrieval and information loss betwee...

Zhuang-Chen-Ying-Ying Liu, Yong-Kang Fu, Zuo-Dong Yang et al. · 0 citations

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