3 citations · 3 across the 4 of their papers we have counts for
4 papers
Privacy Preserving Inference of Personalized Content for Out of Matrix Users
Michael Sun, Tai Vu, Andrew Wang
Recommender systems for niche and dynamic communities face persistent challenges from data sparsity, cold start users and items, and privacy constraints. Traditional collaborative…
Representation Learning for Frequent Subgraph Mining
Rex Ying, Tianyu Fu, Andrew Wang +3
Identifying frequent subgraphs, also called network motifs, is crucial in analyzing and predicting properties of real-world networks. However, finding large commonly-occurring moti…
Ranking with Slot Constraints
Wentao Guo, Andrew Wang, Bradon Thymes +1
We introduce the problem of ranking with slot constraints, which can be used to model a wide range of application problems -- from college admission with limited slots for differen…
Online variable-weight scheduling with preempting on jobs with linear and exponential penalties
Frederick Tang, Fareed Sheriff, Andrew Wang
We analyze the problem of job scheduling with preempting on weighted jobs that can have either linear or exponential penalties. We review relevant literature on the problem and cre…