28 citations · 54 across the 4 of their papers we have counts for
4 papers
Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation
Fuyun Wang, Xingyu Gao, Zhenyu Chen +1
Session-based recommendation (SBR) aims to predict the next item at a certain time point based on anonymous user behavior sequences. Existing methods typically model session repres…
Local-to-Global Panorama Inpainting for Locale-Aware Indoor Lighting Prediction
Jiayang Bai, Zhen He, Shan Yang +4
Predicting panoramic indoor lighting from a single perspective image is a fundamental but highly ill-posed problem in computer vision and graphics. To achieve locale-aware and robu…
Deep Graph Learning for Spatially-Varying Indoor Lighting Prediction
Jiayang Bai, Jie Guo, Chenchen Wan +6
Lighting prediction from a single image is becoming increasingly important in many vision and augmented reality (AR) applications in which shading and shadow consistency between vi…
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion
Jiawei Sheng, Shu Guo, Zhenyu Chen +4
Few-shot Knowledge Graph (KG) completion is a focus of current research, where each task aims at querying unseen facts of a relation given its few-shot reference entity pairs. Rece…