138 citations · 317 across the 10 of their papers we have counts for
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stat.ML2020★ 5 cited
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data
Hai Shu, Zhe Qu, Hongtu Zhu
Modern biomedical studies often collect multi-view data, that is, multiple types of data measured on the same set of objects. A popular model in high-dimensional multi-view data an…
stat.ML2019★ 1 cited
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets
Hai Shu, Zhe Qu
A representative model in integrative analysis of two high-dimensional correlated datasets is to decompose each data matrix into a low-rank common matrix generated by latent factor…
stat.ML2019★ 70 cited
Sensitivity Analysis of Deep Neural Networks
Hai Shu, Hongtu Zhu
Deep neural networks (DNNs) have achieved superior performance in various prediction tasks, but can be very vulnerable to adversarial examples or perturbations. Therefore, it is cr…