Youshan Zhang, and Brian D. Davison. Weighted Pseudo Labeling Refinement for Plant Identification. In Conference and Labs of the Evaluation Forum (CLEF) (Working Notes) 2021.
Youshan Zhang, and Brian D. Davison. Enhanced Separable Disentanglement for Unsupervised Domain Adaptation. In 2021 IEEE International Conference on Image Processing (ICIP).
Youshan Zhang, and Brian D. Davison. Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2021). [paper][bibtex]
Youshan Zhang, and Brian D. Davison. Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2021). [paper][bibtex][codes][presentation]
Youshan Zhang, and Brian D. Davison. Correlated Adversarial Joint Discrepancy Adaptation Network. In Content-Based Multimedia Indexing (CBMI 2021). [paper]
Youshan Zhang, and Brian D. Davison. Adversarial Regression Learning for Bone Age Estimation. In 27th Information Processing in Medical Imaging (IPMI 2021). [paper][bibtex]
Youshan Zhang, and Brian D. Davison. Adversarial Continuous Learning on Unsupervised Domain Adaptation. In 25th International Conference on Pattern Recognition Workshop (ICPRW 2021). [paper][bibtex]
Youshan Zhang, and Brian D. Davison. Adversarial Reinforcement Learning for Unsupervised Domain Adaptation. In 2021 IEEE Winter Conference on Applications of Computer Vision, PP. 635-644.[paper][bibtex][talk]
Youshan Zhang, and Brian D. Davison. Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge. Conference and Labs of the Evaluation Forum (CLEF) (Working Notes) 2020. [paper][bibtex]
Youshan Zhang, and Brian D. Davison. Domain Adaptation for Object Recognition Using Subspace Sampling Demons. Multimedia Tools and Applications (2020). https://doi.org/10.1007/s11042-020-09336-0. [paper][bibtex]
Youshan ZHANG, and Brian Davison. Impact of ImageNet Model Selection on Domain Adaptation. In 2020 IEEE Winter Applications of Computer Vision Workshops (WACVW). pp. 173-182. 2020. [paper][codes][slides][post][bibtex]
Youshan Zhang, Sihong Xie, and Brian D. Davison. Transductive Learning Via Improved Geodesic Sampling. In BMVC, pp. 122. 2019. [paper][bibtex]
Youshan Zhang, and Brian D. Davison. Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet. arXiv preprint arXiv:1904.02322. (2019). [paper][codes][bibtex]
Youshan Zhang, Jon-Patrick Allem, Jennifer Beth Unger, and Tess Boley Cruz. "Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using convolutional neural network and support vector machine classification." Journal of medical Internet research 20, no. 11 (2018): e10513. [paper][codes][bibtex]
Youshan Zhang. Bayesian Geodesic Regression on Riemannian Manifolds. In BMVC 2020. [paper][presentation]
Youshan Zhang, and Brian D. Davison. "ShapeNet: Age-focused Landmark Shape Prediction with Regressive CNN." In 2019 International Conference on Content-Based Multimedia Indexing (CBMI), pp. 1-6. IEEE, 2019. [paper][codes][bibtex]
Youshan Zhang, Jiarui Xing, and Miaomiao Zhang. "Mixture Probabilistic Principal Geodesic Analysis." In Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, pp. 196-208. Springer, Cham, 2019. [paper][bibtex]
Youshan Zhang. A Fast Multi-phases Demon Image Registration for Atlas Building. In Proceedings of the Future Technologies Conference. Springer, Cham, 2019. [paper][bibtex]
Youshan Zhang. K-means Principal Geodesic Analysis on Riemannian Manifolds. In Proceedings of the Future Technologies Conference, pp. 578-589. Springer, Cham, 2019. [paper][bibtex]
Youshan Zhang. Bayesian Estimation for Fast Sequential Diffeomorphic Image Variability. In Science and Information Conference, pp. 687-699. Springer, Cham, 2019. [paper][bibtex]
Youshan Zhang, and Brian D. Davison, Vivien W. Talghader, Zhiyu Chen, Zhiyong Xiao, Gary Kunkel. Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net. In Proceedings of the Future Technologies Conference. 2021.
Youshan Zhang and Qi Li. "A regressive convolution neural network and support vector regression model for electricity consumption forecasting." In Future of Information and Communication Conference, pp. 33-45. Springer, Cham, 2019. [Best Student Paper Award] [paper] [codes][bibtex]
Youshan Zhang, Liangdong Guo, Qi Li, and Junhui Li. "Electricity consumption forecasting method based on MPSO-BP neural network model." In 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016). Atlantis Press, 2016. [paper][bibtex]