1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2025
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
Jinfeng Xu, Zheyu Chen, Jinze Li +6
The data sparsity problem significantly hinders the performance of recommender systems, as traditional models rely on limited historical interactions to learn user preferences and…
cs.IR2025★ 1 cited
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
Jinfeng Xu, Zheyu Chen, Wei Wang +3
Recent works in multimodal recommendations, which leverage diverse modal information to address data sparsity and enhance recommendation accuracy, have garnered considerable intere…
cs.IR2025
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering
Zheyu Chen, Jinfeng Xu, Yutong Wei +1
Contrastive Learning (CL) has recently emerged as a powerful technique in recommendation systems, particularly for its capability to harness self-supervised signals from perturbed…