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cs.IR2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
Xu Guo, Tong Zhang, Fuyun Wang +4
The burgeoning presence of multimodal content-sharing platforms propels the development of personalized recommender systems. Previous works usually suffer from data sparsity and co…
cs.IR2025
Multi-Modal Hypergraph Enhanced LLM Learning for Recommendation
Xu Guo, Tong Zhang, Yuanzhi Wang +6
The burgeoning presence of Large Language Models (LLM) is propelling the development of personalized recommender systems. Most existing LLM-based methods fail to sufficiently explo…
cs.CV2025
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
Fuyun Wang, Tong Zhang, Yuanzhi Wang +4
In Open-set Supervised Anomaly Detection (OSAD), the existing methods typically generate pseudo anomalies to compensate for the scarcity of observed anomaly samples, while overlook…