5 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CR2021★ 4 cited
Few-shot Backdoor Defense Using Shapley Estimation
Jiyang Guan, Zhuozhuo Tu, Ran He +1
Deep neural networks have achieved impressive performance in a variety of tasks over the last decade, such as autonomous driving, face recognition, and medical diagnosis. However,…
cs.LG2021★ 5 cited
Improving Subgraph Recognition with Variational Graph Information Bottleneck
Junchi Yu, Jie Cao, Ran He
Subgraph recognition aims at discovering a compressed substructure of a graph that is most informative to the graph property. It can be formulated by optimizing Graph Information B…
eess.IV2019★ 1 cited
Spectral Graph Transformer Networks for Brain Surface Parcellation
Ran He, Karthik Gopinath, Christian Desrosiers +1
The analysis of the brain surface modeled as a graph mesh is a challenging task. Conventional deep learning approaches often rely on data lying in the Euclidean space. As an extens…