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Zhenfeng Zhu

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Sep 2026

Information-Bottlenecked Variational Autoencoder for Top-N Recommendation via Gating Mechanism

Generative models for top- \(N\) recommendation have garnered significant attention, with Variational Autoencoder (VAE) emerging as a promising approach for modeling user preferences. Yet, traditional VAE-based models encounter two major challenges: simplistic priors may cause posterior collapse, resulting in ineffecti...

Xiao-Bo Guo, Shaoshuai Li, You-Ru Li et al. · 0 citations
Jul 2026

Aligning Condensed Graph via Hashing: A New Insight for Federated Graph Learning.

An efficient hash-based semantic encoding strategy is proposed to model each local client while balancing coordinated resilience and semantic consistency and an elaborate graph condenser is derived based on the above strategy, which condenses original graphs with semantics and structure-preserving property to maintain...

Yeyu Yan, Shuai Zheng, Zhenfeng Zhu et al. · 0 citations

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