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Author

Ru-Jun Wang

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Conference Sep 2026

A lightweight graph convolutional network-based session recommendation method based on multihop attention mechanism

Conversational recommendation aims to predict a user's next potentially interesting item based on a series of historical clicks generated in an anonymous session. In recent years, Graph Convolutional Networks (GCNs) have achieved great success in this field due to their excellent ability to capture complex item transfo...

Xua Li, Ru-Jun Wang · 0 citations
Conference Sep 2026

A few-sample image classification method based on contrastive learning and data augmentation

Few-Shot Image Classification (FSL) aims to identify and classify new image categories using only a very small number of labeled samples. Addressing the shortcomings of existing meta-learning and metric learning methods, such as insufficient generalization of feature representations with very few samples, overfitting,...

Xua Li, Ru-Jun Wang · 0 citations

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