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Xiangrui Zeng

Showing results (1-10 of 58) with videos related to

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Computational Intelligence and Neuroscience|September 9, 2022
Length of Stay Prediction Model of Indoor Patients Based on Light Gradient Boosting MachineXiangrui Zeng
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|March 15, 2021
Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and AveragingXiangrui Zeng, Min Xu
Proceedings. IEEE International Conference on Computer Vision|April 8, 2022
End-to-end robust joint unsupervised image alignment and clusteringXiangrui Zeng, Gregory Howe, Min Xu
Heliyon|December 25, 2023
A widely applicable and robust LightGBM - Artificial neural network forecasting model for short-term wind power densityXiangrui Zeng, Nibras Abdullah, Baixue Liang
Biomedical Engineering Online|October 28, 2024
Self-supervised learning framework application for medical image analysis: a review and summaryXiangrui Zeng, Nibras Abdullah, Putra Sumari
Frontiers in Molecular Biosciences|July 22, 2022
FSCC: Few-Shot Learning for Macromolecule Classification Based on Contrastive Learning and Distribution Calibration in Cryo-Electron TomographyShan Gao, Xiangrui Zeng, Min Xu, et al.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|June 18, 2019
Feature Decomposition Based Saliency Detection in Electron Cryo-TomogramsBo Zhou, Qiang Guo, Xiangrui Zeng, et al.
Bioinformatics (Oxford, England)|June 29, 2018
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classificationYixiu Zhao, Xiangrui Zeng, Qiang Guo, et al.
Bioinformatics (Oxford, England)|September 13, 2019
Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomogramsRuogu Lin, Xiangrui Zeng, Kris Kitani, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|October 3, 2022
Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized TransformationsMostofa Rafid Uddin, Gregory Howe, Xiangrui Zeng, et al.
Pageof 6

Showing results (1-10 of 58) with videos related to

Sort By:
Pageof 6
Computational Intelligence and Neuroscience|September 9, 2022
Length of Stay Prediction Model of Indoor Patients Based on Light Gradient Boosting MachineXiangrui Zeng
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|March 15, 2021
Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and AveragingXiangrui Zeng, Min Xu
Proceedings. IEEE International Conference on Computer Vision|April 8, 2022
End-to-end robust joint unsupervised image alignment and clusteringXiangrui Zeng, Gregory Howe, Min Xu
Heliyon|December 25, 2023
A widely applicable and robust LightGBM - Artificial neural network forecasting model for short-term wind power densityXiangrui Zeng, Nibras Abdullah, Baixue Liang
Biomedical Engineering Online|October 28, 2024
Self-supervised learning framework application for medical image analysis: a review and summaryXiangrui Zeng, Nibras Abdullah, Putra Sumari
Frontiers in Molecular Biosciences|July 22, 2022
FSCC: Few-Shot Learning for Macromolecule Classification Based on Contrastive Learning and Distribution Calibration in Cryo-Electron TomographyShan Gao, Xiangrui Zeng, Min Xu, et al.
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|June 18, 2019
Feature Decomposition Based Saliency Detection in Electron Cryo-TomogramsBo Zhou, Qiang Guo, Xiangrui Zeng, et al.
Bioinformatics (Oxford, England)|June 29, 2018
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classificationYixiu Zhao, Xiangrui Zeng, Qiang Guo, et al.
Bioinformatics (Oxford, England)|September 13, 2019
Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomogramsRuogu Lin, Xiangrui Zeng, Kris Kitani, et al.
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|October 3, 2022
Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized TransformationsMostofa Rafid Uddin, Gregory Howe, Xiangrui Zeng, et al.
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