15 citations · 30 across the 4 of their papers we have counts for
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cs.LG2022★ 4 cited
Adaptive Transfer Learning for Plant Phenotyping
Jun Wu, Elizabeth A. Ainsworth, Sheng Wang +2
Plant phenotyping (Guo et al. 2021; Pieruschka et al. 2019) focuses on studying the diverse traits of plants related to the plants' growth. To be more specific, by accurately measu…
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…