60 citations · 60 across the 3 of their papers we have counts for
3 papers
cs.IR2022★ 60 cited
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation
Chenglin Li, Yuanzhen Xie, Chenyun Yu +5
Cross-domain recommendation is an important method to improve recommender system performance, especially when observations in target domains are sparse. However, most existing tech…
cs.LG2022
Stochastic and Private Nonconvex Outlier-Robust PCA
Tyler Maunu, Chenyu Yu, Gilad Lerman
We develop theoretically guaranteed stochastic methods for outlier-robust PCA. Outlier-robust PCA seeks an underlying low-dimensional linear subspace from a dataset that is corrupt…
cs.IT2021
An Open Problem on Sparse Representations in Unions of Bases
Yi Shen, Chenyun Yu, Yuan Shen +1
We consider sparse representations of signals from redundant dictionaries which are unions of several orthonormal bases. The spark introduced by Donoho and Elad plays an important…