15 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 6 cited
Continuous Transfer Learning with Label-informed Distribution Alignment
Jun Wu, Jingrui He
Transfer learning has been successfully applied across many high-impact applications. However, most existing work focuses on the static transfer learning setting, and very little i…
cs.LG2019★ 15 cited
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Jun Wu, Jingrui He, Jiejun Xu
Graph data widely exist in many high-impact applications. Inspired by the success of deep learning in grid-structured data, graph neural network models have been proposed to learn…