25 citations · 87 across the 23 of their papers we have counts for
23 papers
Complex Image Generation SwinTransformer Network for Audio Denoising
Youshan Zhang, Jialu Li
Achieving high-performance audio denoising is still a challenging task in real-world applications. Existing time-frequency methods often ignore the quality of generated frequency d…
Deep Feature Registration for Unsupervised Domain Adaptation
Youshan Zhang, Brian D. Davison
While unsupervised domain adaptation has been explored to leverage the knowledge from a labeled source domain to an unlabeled target domain, existing methods focus on the distribut…
Stall Number Detection of Cow Teats Key Frames
Youshan Zhang
In this paper, we present a small cow stall number dataset named CowStallNumbers, which is extracted from cow teat videos with the goal of advancing cow stall number detection. Thi…
Lung segmentation with NASNet-Large-Decoder Net
Youshan Zhang
Lung cancer has emerged as a severe disease that threatens human life and health. The precise segmentation of lung regions is a crucial prerequisite for localizing tumors, which ca…
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…
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…
A Survey of Unsupervised Domain Adaptation for Visual Recognition
Youshan Zhang
While huge volumes of unlabeled data are generated and made available in many domains, the demand for automated understanding of visual data is higher than ever before. Most existi…
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…
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…
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…
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…
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation
Youshan Zhang, Brian D. Davison
Unsupervised Domain adaptation is an effective method in addressing the domain shift issue when transferring knowledge from an existing richly labeled domain to a new domain. Exist…
Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation
Youshan Zhang, Brian D. Davison
Domain adaptation (DA) mitigates the domain shift problem when transferring knowledge from one annotated domain to another similar but different unlabeled domain. However, existing…
Adversarial Regression Learning for Bone Age Estimation
Youshan Zhang, Brian D. Davison
Estimation of bone age from hand radiographs is essential to determine skeletal age in diagnosing endocrine disorders and depicting the growth status of children. However, existing…
Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge
Youshan Zhang, Brian D. Davison
Domain adaptation is one of the most crucial techniques to mitigate the domain shift problem, which exists when transferring knowledge from an abundant labeled sourced domain to a…
Bayesian Geodesic Regression on Riemannian Manifolds
Youshan Zhang
Geodesic regression has been proposed for fitting the geodesic curve. However, it cannot automatically choose the dimensionality of data. In this paper, we develop a Bayesian geode…
Impact of ImageNet Model Selection on Domain Adaptation
Youshan Zhang, Brian D. Davison
Deep neural networks are widely used in image classification problems. However, little work addresses how features from different deep neural networks affect the domain adaptation…
Mixture Probabilistic Principal Geodesic Analysis
Youshan Zhang, Jiarui Xing, Miaomiao Zhang
Dimensionality reduction on Riemannian manifolds is challenging due to the complex nonlinear data structures. While probabilistic principal geodesic analysis~(PPGA) has been propos…
Corticospinal Tract (CST) reconstruction based on fiber orientation distributions(FODs) tractography
Youshan Zhang
The Corticospinal Tract (CST) is a part of pyramidal tract (PT), and it can innervate the voluntary movement of skeletal muscle through spinal interneurons (the 4th layer of the Re…
Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet
Youshan Zhang, Brian D. Davison
Deep neural networks have been widely used in computer vision. There are several well trained deep neural networks for the ImageNet classification challenge, which has played a sig…
Electricity consumption forecasting method based on MPSO-BP neural network model
Youshan Zhang, Liangdong Guo, Qi Li +1
This paper deals with the problem of the electricity consumption forecasting method. An MPSO-BP (modified particle swarm optimization-back propagation) neural network model is cons…
Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using Convolutional Neural Network and Support Vector Machine classification
Youshan Zhang, Jon-Patrick Allem, Jennifer B. Unger +1
Background: Instagram, with millions of posts per day, can be used to inform public health surveillance targets and policies. However, current research relying on image-based data…
A Regressive Convolution Neural network and Support Vector Regression Model for Electricity Consumption Forecasting
Youshan Zhang, Qi Li
Electricity consumption forecasting has important implications for the mineral companies on guiding quarterly work, normal power system operation, and the management. However, elec…