activity
20182022
most citedModified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet

13 citations · 26 across the 12 of their papers we have counts for

collaborators

18 papers

cs.SD20221 cited

BirdSoundsDenoising: Deep Visual Audio Denoising for Bird Sounds

Youshan Zhang, Jialu Li

Audio denoising has been explored for decades using both traditional and deep learning-based methods. However, these methods are still limited to either manually added artificial n…

cs.LG20225 cited

House Price Prediction Based On Deep Learning

Yuying Wu, Youshan Zhang

Since ancient times, what Chinese people have been pursuing is very simple, which is nothing more than "to live and work happily, to eat and dress comfortable". Today, more than 40…

cs.LG2021

Deep Least Squares Alignment for Unsupervised Domain Adaptation

Youshan Zhang, Brian D. Davison

Unsupervised domain adaptation leverages rich information from a labeled source domain to model an unlabeled target domain. Existing methods attempt to align the cross-domain distr…

cs.CV20211 cited

Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net

Youshan Zhang, Brian D. Davison, Vivien W. Talghader +3

Transmission electron microscopy (TEM) is one of the primary tools to show microstructural characterization of materials as well as film thickness. However, manual determination of…

cs.CV2021

Enhanced Separable Disentanglement for Unsupervised Domain Adaptation

Youshan Zhang, Brian D. Davison

Domain adaptation aims to mitigate the domain gap when transferring knowledge from an existing labeled domain to a new domain. However, existing disentanglement-based methods do no…

cs.CV2021

Correlated Adversarial Joint Discrepancy Adaptation Network

Youshan Zhang, Brian D. Davison

Domain adaptation aims to mitigate the domain shift problem when transferring knowledge from one domain into another similar but different domain. However, most existing works rely…