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Weihong Luo

2 accepted papers

2025

SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation

NeurIPS 2025poster

Contrastive learning has shown effectiveness in improving sequential recommendation models. However, existing methods still face challenges in generating high-quality contrastive pairs: they either rely on random perturbations that corrupt user preference patterns or depend on sparse collaborative d…

Cited by 0SourcecodeScholar
2023

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network

NeurIPS 2023poster

Deep sparse networks are widely investigated as a neural network architecture for prediction tasks with high-dimensional sparse features, with which feature interaction selection is a critical component. While previous methods primarily focus on how to search feature interaction in a coarse-grained…