沈莹 SHEN YING 副教授、博士

https://csyingshen.github.io/main/

yingshen@tongji.edu.cn

主讲课程:

用户交互技术

软件体系结构

模式识别

研究方向:

语音信号处理

自然语言处理

生物信息学

教学工作

主讲课程:

  • 用户交互技术

  • 模式识别

  • 软件体系结构


科研项目

  • 国家自然科学基金面上项目:“基于图卷积网络的RNA二级/三级结构预测”,2020-2023,主持

  • 上海市自然科学基金面上项目:“环视泊车位检测系统中关键技术的研究”,2019~2021,主持

  • 国家自然科学基金青年科学基金项目: “RNA结构功能域识别和提取”,2014.01~2016.12,主持


部分论文简介

刊论文

  • Huizhu Ren and Ying Shen*, "RNA-binding residues prediction using structural features", BMC Bioinformatics, vol. 16, pp. 249, 2015.

  • Ying Shen and Lin Zhang, "Gene function prediction with knowledge from Gene Ontology", Int. J. Data Mining and Bioinformatics, vol. 13, no. 1, pp. 50-62, 2015.

  • Ying Shen, Hau-San Wong, Shaohong Zhang, and Lin Zhang, "RNA structural motif recognition based on least-squares distance", RNA, vol. 19, no. 10, pp. 1183-1191, 2013.

  • Ying Shen, Shaohong Zhang, Hau-San Wong, and Lin Zhang, “Characterization of semantic similarity on Gene Ontology based on a shortest path approach”, Int. J. Data Mining and Bioinformatics, vol. 10, no.1, pp. 33-48, 2014.

  • Lin Zhang, Zhixuan Ding, Hongyu Li, Ying Shen*, Jianwei Lu, "3D Face Recognition Based on Multiple Keypoint Descriptors and Sparse Representation", PLoS ONE, vol. 9, no. 6, e100120:1-9, 2014.

  • Lin Zhang, Zhixuan Ding, Hongyu Li, Ying Shen*, "3D Ear Identification Based on Sparse Representation", PLoS ONE, vol. 9, no. 4, e95506:1-9, 2014.

  • Ying Shen, Hau-San Wong, Shaohong Zhang, and Zhiwen Yu, “Feature-based 3D motif filtering for ribosomal RNA”, Bioinformatics, vol. 27, no. 20, pp. 2828-2835, 2011.

  议论文

  • Yin Shen and Lin Zhang, "The hasp motif: A new type of RNA tertiary interactions", in Proc. ICIC2017.

  • Huizhu Ren, Ying Shen*, and Lin Zhang, "The λ-turn: A new structural motif in ribosomal RNA", in Proc. ICIC2015.

  • Ying Shen and Lin Zhang, "Improving classification accuracy using Gene Ontology information", in: Proc. ICIC2013.

  • Ying Shen, Shaohong Zhang, and Hau-San Wong, "A new method for measuring the semantic similarity on Gene Ontology", in: Proc. BIBM, pp. 533-538, 2010.


专利


获奖经历


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