default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYing-Ying Xu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j18]Yu Li, Guo-Hua Zeng, Yong-Jia Liang
, Hong-Rui Yang, Xi-Liang Zhu, Yu-Jia Zhai, Li-Xia Duan, Ying-Ying Xu:
Improving quantitative prediction of protein subcellular locations in fluorescence images through deep generative models. Comput. Biol. Medicine 179: 108913 (2024)- [j17]Lin-Xia Bao, Zhuo-Ming Luo, Xi-Liang Zhu, Ying-Ying Xu:
Automated identification of protein expression intensity and classification of protein cellular locations in mouse brain regions from immunofluorescence images. Medical Biol. Eng. Comput. 62(4): 1105-1119 (2024) - 2023
- [j16]Xi-Liang Zhu, Lin-Xia Bao, Min-Qi Xue, Ying-Ying Xu:
Automatic recognition of protein subcellular location patterns in single cells from immunofluorescence images based on deep learning. Briefings Bioinform. 24(1) (2023) - 2022
- [j15]Ge Wang, Min-Qi Xue, Hong-Bin Shen, Ying-Ying Xu:
Learning protein subcellular localization multi-view patterns from heterogeneous data of imaging, sequence and networks. Briefings Bioinform. 23(2) (2022) - [j14]Min-Qi Xue, Xi-Liang Zhu, Ge Wang, Ying-Ying Xu:
DULoc: quantitatively unmixing protein subcellular location patterns in immunofluorescence images based on deep learning features. Bioinform. 38(3): 827-833 (2022) - [j13]Jin-Xian Hu, Yang Yang, Ying-Ying Xu, Hong-Bin Shen:
GraphLoc: a graph neural network model for predicting protein subcellular localization from immunohistochemistry images. Bioinform. 38(21): 4941-4948 (2022) - [j12]Zhenzhen Xue, Cheng Li, Zhuo-Ming Luo, Shan-Shan Wang, Ying-Ying Xu:
Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers. BMC Bioinform. 23(1): 470 (2022) - [j11]Xi-Liang Zhu, Hong-Bin Shen, Haitao Sun, Li-Xia Duan, Ying-Ying Xu:
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. 17(7): 1303-1311 (2022) - 2020
- [j10]Ying-Ying Xu, Hong-Bin Shen, Robert F. Murphy:
Learning complex subcellular distribution patterns of proteins via analysis of immunohistochemistry images. Bioinform. 36(6): 1908-1914 (2020) - [j9]Zhenzhen Xue, Yanxia Wu, Qing-Zu Gao, Liang Zhao, Ying-Ying Xu:
Automated classification of protein subcellular localization in immunohistochemistry images to reveal biomarkers in colon cancer. BMC Bioinform. 21(1): 398 (2020)
2010 – 2019
- 2018
- [j8]Ying-Ying Xu, Li-Xiu Yao, Hong-Bin Shen:
Bioimage-based protein subcellular location prediction: a comprehensive review. Frontiers Comput. Sci. 12(1): 26-39 (2018) - [j7]Wei Shao, Mingxia Liu, Ying-Ying Xu, Hong-Bin Shen, Daoqiang Zhang:
An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 828-838 (2018) - 2017
- [c3]Jin-Xian Hu, Ying-Ying Xu, Yang Yang, Hong-Bin Shen:
Deep Learning-Based Classification of Protein Subcellular Localization from Immunohistochemistry Images. ACPR 2017: 599-604 - 2016
- [j6]Ying-Ying Xu, Fan Yang, Hong-Bin Shen:
Incorporating organelle correlations into semi-supervised learning for protein subcellular localization prediction. Bioinform. 32(14): 2184-2192 (2016) - [j5]Xi Yin, Ying-Ying Xu, Hong-Bin Shen:
Enhancing the Prediction of Transmembrane β-Barrel Segments with Chain Learning and Feature Sparse Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1016-1026 (2016) - [c2]Changfei Tong, Yu Xu, Jun Li, Ying-Ying Xu, Huaizhong Li:
Internet-Based Urban Bus Travelling Data Acquisition and Missing Data Recovery. MSN 2016: 343-347 - 2015
- [j4]Ying-Ying Xu, Fan Yang, Yang Zhang, Hong-Bin Shen:
Bioimaging-based detection of mislocalized proteins in human cancers by semi-supervised learning. Bioinform. 31(7): 1111-1119 (2015) - 2014
- [j3]Fan Yang, Ying-Ying Xu, Shitong Wang, Hong-Bin Shen:
Image-based classification of protein subcellular location patterns in human reproductive tissue by ensemble learning global and local features. Neurocomputing 131: 113-123 (2014) - 2013
- [j2]Ying-Ying Xu, Fan Yang, Yang Zhang, Hong-Bin Shen:
An image-based multi-label human protein subcellular localization predictor (iLocator) reveals protein mislocalizations in cancer tissues. Bioinform. 29(16): 2032-2040 (2013) - 2012
- [c1]Fan Yang, Ying-Ying Xu, Hong-Bin Shen:
Automated Classification of Protein Subcellular Location Patterns on Images of Human Reproductive Tissues. IScIDE 2012: 254-262
2000 – 2009
- 2009
- [j1]Zhu-Wu Wu, Xue-Feng Song, Ying-Ying Xu, Kun Liu:
A note on a minimax rule for portfolio selection and equilibrium price system. Appl. Math. Comput. 208(1): 49-57 (2009)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-07 00:59 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
