11 citations · 13 across the 2 of their papers we have counts for
3 papers
cs.IR2021★ 2 cited
SetConv: A New Approach for Learning from Imbalanced Data
Yang Gao, Yi-Fan Li, Yu Lin +2
For many real-world classification problems, e.g., sentiment classification, most existing machine learning methods are biased towards the majority class when the Imbalance Ratio (…
cs.LG2021★ 11 cited
Towards Self-Adaptive Metric Learning On the Fly
Yang Gao, Yi-Fan Li, Swarup Chandra +2
Good quality similarity metrics can significantly facilitate the performance of many large-scale, real-world applications. Existing studies have proposed various solutions to learn…
cs.IR2020
Deep Learning on Knowledge Graph for Recommender System: A Survey
Yang Gao, Yi-Fan Li, Yu Lin +2
Recent advances in research have demonstrated the effectiveness of knowledge graphs (KG) in providing valuable external knowledge to improve recommendation systems (RS). A knowledg…