1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox
Yunyun Wang, Yao Liu, Songcan Chen
Universal domain adaptation (UniDA) is a general unsupervised domain adaptation setting, which addresses both domain and label shifts in adaptation. Its main challenge lies in how…
cs.CV2022
Dual-Correction Adaptation Network for Noisy Knowledge Transfer
Yunyun Wang, Weiwen Zheng, Songcan Chen
Previous unsupervised domain adaptation (UDA) methods aim to promote target learning via a single-directional knowledge transfer from label-rich source domain to unlabeled target d…
cs.LG2021
Pre-Training on Dynamic Graph Neural Networks
Ke-jia Chen, Jiajun Zhang, Linpu Jiang +2
The pre-training on the graph neural network model can learn the general features of large-scale networks or networks of the same type by self-supervised methods, which allows the…