1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
Qiying Pan, Ruofan Wu, Tengfei Liu +3
Federated training of Graph Neural Networks (GNN) has become popular in recent years due to its ability to perform graph-related tasks under data isolation scenarios while preservi…
cs.CV2023
End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters
Guiqin Zhao, Lianlei Shan, Weiqiang Wang
Change detection based on remote sensing images has been a prominent area of interest in the field of remote sensing. Deep networks have demonstrated significant success in detecti…
cs.CV2023★ 1 cited
Compositional Prototypical Networks for Few-Shot Classification
Qiang Lyu, Weiqiang Wang
It is assumed that pre-training provides the feature extractor with strong class transferability and that high novel class generalization can be achieved by simply reusing the tran…