9 citations · 15 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 6 cited
Learning to Match Distributions for Domain Adaptation
Chaohui Yu, Jindong Wang, Chang Liu +5
When the training and test data are from different distributions, domain adaptation is needed to reduce dataset bias to improve the model's generalization ability. Since it is diff…
cs.LG2019
Transfer Learning with Dynamic Adversarial Adaptation Network
Chaohui Yu, Jindong Wang, Yiqiang Chen +1
The recent advances in deep transfer learning reveal that adversarial learning can be embedded into deep networks to learn more transferable features to reduce the distribution dis…
cs.LG2019★ 9 cited
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning
Chaohui Yu, Jindong Wang, Yiqiang Chen +1
Deep unsupervised domain adaptation (UDA) has recently received increasing attention from researchers. However, existing methods are computationally intensive due to the computatio…