83 citations · 160 across the 7 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 9 cited
Techniques for Automated Machine Learning
Yi-Wei Chen, Qingquan Song, Xia Hu
Automated machine learning (AutoML) aims to find optimal machine learning solutions automatically given a machine learning problem. It could release the burden of data scientists f…
cs.LG2019
Coupled Variational Recurrent Collaborative Filtering
Qingquan Song, Shiyu Chang, Xia Hu
We focus on the problem of streaming recommender system and explore novel collaborative filtering algorithms to handle the data dynamicity and complexity in a streaming manner. Alt…
cs.LG2019
Multi-Label Adversarial Perturbations
Qingquan Song, Haifeng Jin, Xiao Huang +1
Adversarial examples are delicately perturbed inputs, which aim to mislead machine learning models towards incorrect outputs. While most of the existing work focuses on generating…