45 citations · 52 across the 7 of their papers we have counts for
7 papers
Few-shot News Recommendation via Cross-lingual Transfer
Taicheng Guo, Lu Yu, Basem Shihada +1
The cold-start problem has been commonly recognized in recommendation systems and studied by following a general idea to leverage the abundant interaction records of warm users to…
SAIL: Self-Augmented Graph Contrastive Learning
Lu Yu, Shichao Pei, Lizhong Ding +4
This paper studies learning node representations with graph neural networks (GNNs) for unsupervised scenario. Specifically, we derive a theoretical analysis and provide an empirica…
Addressing Class-Imbalance Problem in Personalized Ranking
Lu Yu, Shichao Pei, Chuxu Zhang +4
Pairwise ranking models have been widely used to address recommendation problems. The basic idea is to learn the rank of users' preferred items through separating items into \emph{…
Identifying the Academic Rising Stars
Chuxu Zhang, Chuang Liu, Lu Yu +2
Predicting the fast-rising young researchers (Academic Rising Stars) in the future provides useful guidance to the research community, e.g., offering competitive candidates to univ…
ILCR: Item-based Latent Factors for Sparse Collaborative Retrieval
Lu Yu, Junming Huang, Chuang Liu +1
Interactions between search and recommendation have recently attracted significant attention, and several studies have shown that many potential applications involve with a joint p…
Multi-Linear Interactive Matrix Factorization
Lu Yu, Chuang Liu, Zi-Ke Zhang
Recommender systems, which can significantly help users find their interested items from the information era, has attracted an increasing attention from both the scientific and app…