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徐莹莹

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姓名:徐莹莹

职称:副教授

联系邮箱:yyxu@smu.edu.cn  


学习经历(学士、硕士、博士):

2011.09-2017.06 上海交通大学,模式识别与智能系统,博士

2015.09-2016.09 美国卡内基梅隆大学,计算生物学,联合培养博士生

2007.09-2011.06 ,东北大学秦皇岛分校,测控技术与仪器,学士


工作经历:

2017.07至今 南方医科大学生物医学工程学院医学信息研究所,副教授


研究方向:

生物图像信息学与模式识别


主要科研课题:

1、国家自然科学基金青年项目,61803196,基于多尺度空间建模的蛋白质亚细胞定位预测及应用研究,2019.01-2021.1227万,主持

2、广东省自然科学基金,2018030310282,免疫组化显微图像中蛋白质的复杂亚细胞位置模式的定量分析及应用研究,2018.05-2021.0410万,主持


代表性论文:

(1) Ying-Ying Xu, Hang Zhou, Robert F. Murphy, and Hong-Bin Shen*, Consistency and variation of protein subcellular location annotations, PROTEINS: Structure, Function, and Bioinformatics, 2020, In press. (SCI)

(2) Zhen-Zhen 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 Bioinformatics, 2020, 21:398. (SCI)

(3) Ying-Ying Xu, Hong-Bin Shen*, Robert F. Murphy*, Learning complex subcellular distribution patterns of proteins via analysis of immunohistochemistry images, Bioinformatics, 2020, 36(6): 1908-1914. (SCI, 中科院小类一区)

(4) Ying-Ying Xu, Li-Xiu Yao, Hong-Bin Shen*, Bioimage-based protein subcellular location prediction: a comprehensive review, Frontiers of Computer Science, 2018, 12(1): 26-39. (SCI)

(5) Wei Shao, Ming-Xia Liu, Ying-Ying Xu, Hong-Bin Shen, Dao-Qiang Zhang, An organelle correlation-guided feature selection approach for classifying multi-label subcellular bioimages, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, 15(3):828-838. (SCI)

(6) Jian-Xian Hu, Ying-Ying Xu, Yang Yang, Hong-Bin Shen*, Deep Learning-Based Classification of Protein Subcellular Localization from Immunohistochemistry Images, 4th IAPR Asian Conference on Pattern Recognition (ACPR 2017), 599-604, Nanjing, 2017.

(7) Ying-Ying Xu, Fan Yang, Hong-Bin Shen*, Incorporating organelle correlations into semi-supervised learning for protein subcellular localization prediction, Bioinformatics, 2016, 32:2184-2192. (SCI, 中科院小类一区)

(8) Xi Yin, Ying-Ying Xu, Hong-Bin Shen*, Enhancing the prediction of transmembrane beta-barrel segments with chain learning and feature sparse representation, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016, 13(6):1016-1026. (SCI)

(9) Ying-Ying Xu, Fan Yang, Yang Zhang, Hong-Bin Shen*, Bioimaging based detection of mislocalized proteins in human cancers by semi-supervised learning, Bioinformatics, 2015, 31:1111-1119. (SCI, 中科院小类一区)

(10) Fan Yang, Ying-Ying Xu, Shi-Tong Wang, Hong-Bin Shen*, Image-based classification of protein subcellular location patterns in human reproductive tissue by ensemble learning global and local features, Neurocomputing, 2014, 131:113-123. (SCI)

(11) Fan Yang, Ying-Ying Xu, Hong-Bin Shen*, Many local pattern texture features: which is better for image-based multi-label human protein subcellular localization classification?, The Scientific World Journal, 2014: 429049.

(12) 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, Bioinformatics, 2013, 29:2032-2040. (SCI, 中科院小类一区)

(13) Fan Yang,Ying-Ying Xu,Hong-Bin Shen*, Automated classification of protein subcellular location patterns on images of human reproductive tissues,3rd Sino-foreign-interchange workshop on Intelligent Science and Intelligent Data Engineering (IScIDE 2012), 254-262, Nanjing, 2012.


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