59 citations · 129 across the 5 of their papers we have counts for
5 papers
Lightweight Self-Knowledge Distillation with Multi-source Information Fusion
Xucong Wang, Pengchao Han, Lei Guo
Knowledge Distillation (KD) is a powerful technique for transferring knowledge between neural network models, where a pre-trained teacher model is used to facilitate the training o…
Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation
Lei Guo, Chunxiao Wang, Xinhua Wang +2
Cross-domain Recommendation (CR) has been extensively studied in recent years to alleviate the data sparsity issue in recommender systems by utilizing different domain information.…
Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network
Jinyu Zhang, Huichuan Duan, Lei Guo +2
Cross-domain Sequential Recommendation (CSR) is an emerging yet challenging task that depicts the evolution of behavior patterns for overlapped users by modeling their interactions…
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation
Lei Guo, Jinyu Zhang, Tong Chen +2
Shared-account Cross-domain Sequential Recommendation (SCSR) is an emerging yet challenging task that simultaneously considers the shared-account and cross-domain characteristics i…
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation
Lei Guo, Jinyu Zhang, Li Tang +3
Shared-account Cross-domain Sequential Recommendation (SCSR) task aims to recommend the next item via leveraging the mixed user behaviors in multiple domains. It is gaining immense…