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Conference Open access Sep 2026

BAMFair: Barycenter Aligned Mediation for Fairness Across Multiple Sensitive Attributes

Achieving fairness in machine learning models while maintaining high accuracy is an important but complex task, especially when handling multiple sensitive attributes. Traditional fairness methods often struggle to eliminate bias within subgroups divided by sensitive attributes. Several key challenges have been identif...

Heng-Yu Yue, Fan Wang, Wei-Ming Liu et al. · 0 citations
Book Open access Jul 2026

Fourier Kolmogorov-Arnold Network and Hypergraph Enhanced Contrastive Learning for Recommendation

Recommendation plays a crucial role in the modern Web ecosystem, powering personalized services across e-commerce, social platforms, and online content networks. To model complex user–item interactions in such Web environments, Graph Neural Networks (GNNs) have become a popular and effective approach due to their abili...

Yuwen Liu, Lianyong Qi, Xucheng Zhou et al. · 0 citations

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