14 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 11 cited
Similarity Embedding Networks for Robust Human Activity Recognition
Chenglin Li, Carrie Lu Tong, Di Niu +5
Deep learning models for human activity recognition (HAR) based on sensor data have been heavily studied recently. However, the generalization ability of deep models on complex rea…
cs.IR2019★ 6 cited
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation
Fajie Yuan, Xiangnan He, Haochuan Jiang +4
Session-based recommender systems have attracted much attention recently. To capture the sequential dependencies, existing methods resort either to data augmentation techniques or…
cs.LG2019★ 14 cited
Learning Cross-Domain Representation with Multi-Graph Neural Network
Yi Ouyang, Bin Guo, Xing Tang +3
Learning effective embedding has been proved to be useful in many real-world problems, such as recommender systems, search ranking and online advertisement. However, one of the cha…