Ying-Ying Xu

23 papers Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Diffusion-based generation of cell images with quantitative fluorescence for precise and interpretable protein subcellular localization.
Displays
Ying-Yi Wang, Yu Li, Ying He, Yang Xiong, Yi-Lin Li, Ying-Ying Xu
2025 J jnl
Knowledge-enhanced protein subcellular localization prediction from 3D fluorescence microscope images.
Bioinform.
Guo-Hua Zeng, Xing-Zheng Zhu, Hong-Rui Yang, Yong-Jia Liang, Yu-Jia Zhai, Ying-Ying Xu
2024 J jnl
Automated identification of protein expression intensity and classification of protein cellular locations in mouse brain regions from immunofluorescence images.
Medical Biol. Eng. Comput.
Lin-Xia Bao, Zhuo-Ming Luo, Xi-Liang Zhu, Ying-Ying Xu
2024 J jnl
Improving quantitative prediction of protein subcellular locations in fluorescence images through deep generative models.
Comput. Biol. Medicine
Yu Li, Guo-Hua Zeng, Yong-Jia Liang, Hong-Rui Yang, Xi-Liang Zhu, Yu-Jia Zhai, Li-Xia Duan, Ying-Ying Xu
2023 J jnl
Automatic recognition of protein subcellular location patterns in single cells from immunofluorescence images based on deep learning.
Briefings Bioinform.
Xi-Liang Zhu, Lin-Xia Bao, Min-Qi Xue, Ying-Ying Xu
2022 J jnl
Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers.
BMC Bioinform.
Zhenzhen Xue, Cheng Li, Zhuo-Ming Luo, Shan-Shan Wang, Ying-Ying Xu
2022 J jnl
DULoc: quantitatively unmixing protein subcellular location patterns in immunofluorescence images based on deep learning features.
Bioinform.
Min-Qi Xue, Xi-Liang Zhu, Ge Wang, Ying-Ying Xu
2022 J jnl
GraphLoc: a graph neural network model for predicting protein subcellular localization from immunohistochemistry images.
Bioinform.
Jin-Xian Hu, Yang Yang, Ying-Ying Xu, Hong-Bin Shen
2022 J jnl
Improving segmentation and classification of renal tumors in small sample 3D CT images using transfer learning with convolutional neural networks.
Int. J. Comput. Assist. Radiol. Surg.
Xi-Liang Zhu, Hong-Bin Shen, Haitao Sun, Li-Xia Duan, Ying-Ying Xu
2022 J jnl
Learning protein subcellular localization multi-view patterns from heterogeneous data of imaging, sequence and networks.
Briefings Bioinform.
Ge Wang, Min-Qi Xue, Hong-Bin Shen, Ying-Ying Xu
2020 J jnl
Automated classification of protein subcellular localization in immunohistochemistry images to reveal biomarkers in colon cancer.
BMC Bioinform.
Zhenzhen Xue, Yanxia Wu, Qing-Zu Gao, Liang Zhao, Ying-Ying Xu
2020 J jnl
Learning complex subcellular distribution patterns of proteins via analysis of immunohistochemistry images.
Bioinform.
Ying-Ying Xu, Hong-Bin Shen, Robert F. Murphy
2018 J jnl
An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wei Shao, Mingxia Liu, Ying-Ying Xu, Hong-Bin Shen, Daoqiang Zhang
2018 J jnl
Bioimage-based protein subcellular location prediction: a comprehensive review.
Frontiers Comput. Sci.
Ying-Ying Xu, Li-Xiu Yao, Hong-Bin Shen
2017 — conf
Deep Learning-Based Classification of Protein Subcellular Localization from Immunohistochemistry Images.
ACPR
Jin-Xian Hu, Ying-Ying Xu, Yang Yang, Hong-Bin Shen
2016 J jnl
Enhancing the Prediction of Transmembrane β-Barrel Segments with Chain Learning and Feature Sparse Representation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xi Yin, Ying-Ying Xu, Hong-Bin Shen
2016 J jnl
Incorporating organelle correlations into semi-supervised learning for protein subcellular localization prediction.
Bioinform.
Ying-Ying Xu, Fan Yang, Hong-Bin Shen
2016 — conf
Internet-Based Urban Bus Travelling Data Acquisition and Missing Data Recovery.
MSN
Changfei Tong, Yu Xu, Jun Li, Ying-Ying Xu, Huaizhong Li
2015 J jnl
Bioimaging-based detection of mislocalized proteins in human cancers by semi-supervised learning.
Bioinform.
Ying-Ying Xu, Fan Yang, Yang Zhang, Hong-Bin Shen
2014 J jnl
Image-based classification of protein subcellular location patterns in human reproductive tissue by ensemble learning global and local features.
Neurocomputing
Fan Yang, Ying-Ying Xu, Shitong Wang, Hong-Bin Shen
2013 J jnl
An image-based multi-label human protein subcellular localization predictor (
Bioinform.
Ying-Ying Xu, Fan Yang, Yang Zhang, Hong-Bin Shen
2012 — conf
Automated Classification of Protein Subcellular Location Patterns on Images of Human Reproductive Tissues.
IScIDE
Fan Yang, Ying-Ying Xu, Hong-Bin Shen
2009 J jnl
A note on a minimax rule for portfolio selection and equilibrium price system.
Appl. Math. Comput.
Zhu-Wu Wu, Xue-Feng Song, Ying-Ying Xu, Kun Liu