1.3k citations · 1.5k across the 7 of their papers we have counts for
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cs.LG2021★ 24 cited
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis +1
In many domains, including healthcare, biology, and climate science, time series are irregularly sampled with varying time intervals between successive readouts and different subse…
cs.LG2020★ 122 cited
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
Xiang Zhang, Marinka Zitnik
Deep learning methods for graphs achieve remarkable performance across a variety of domains. However, recent findings indicate that small, unnoticeable perturbations of graph struc…
cs.LG2015★ 3 cited
Universum Prescription: Regularization using Unlabeled Data
Xiang Zhang, Yann LeCun
This paper shows that simply prescribing "none of the above" labels to unlabeled data has a beneficial regularization effect to supervised learning. We call it universum prescripti…