Dr. Jingyang Gao

Time：2024-11-15Views：10

Dr. Jingyang Gao

Professor

Email：gaojy@mail.buct.edu.cn




Background

Gao Jingyang, Ph.D., Professor, Doctoral Supervisor, Chair of the Department of Computer Science. She is a Beijing Teaching Master and recipient of the 8th Youth Teacher Award from the Fok Ying Tung Education Foundation. Her main research areas include Artificial Intelligence, Deep Learning-based Medical Image Analysis, Machine Learning and Deep Learning-based Genomics Big Data Analysis, and Pattern Recognition Theory and Applications.

She is a Senior Member of the China Computer Federation (CCF), Senior Member of the Chinese Association for Artificial Intelligence (CAAI), a member of the CCF Special Committee on Artificial Intelligence and Pattern Recognition, and a founding member of the CCF Special Committee on Bioinformatics. She has also served as the chief editor for three textbooks.

Teaching Courses

Fundamentals of Programming

Introduction to Computer Science

University Computing (MOOC platform course for Chinese universities)

C Programming (MOOC Platform Course for Chinese Universities)

Research Projects

Project name

Project source

An integrated method for detecting genomic structural variants based on the fusion of multi-detection theories

National Natural Science Foundation

Enhanced expression and precise detection of genomic deletion variant features

Beijing Natural Science Foundation

Precise detection of lung cancer driver genes based on deep learning and second-generation sequencing data

Beijing University of Chemical Technology-China-Japan Friendship Hospital Joint Foundation Program

Main Achievements and Awards

  1. Beijing Teaching Master

  2. Fok Ying Tung Education Foundation 8th Young Teacher Award

Research Publications

  • Cai L, Wu YF, Gao JY*. DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network. BMC BIOINFORMATICS, DEC 12 2019. 20(1),p665

  • Wu Zhongjia,Wu Yufeng, Gao Jingyang*. InvBFM:finding genomic inversions from high-throughput sequence data based on feature mining. BMC GENOMICS. MAR 5 2020,21(1):p173

  • Bai Ruofei, Gao Liwei, Ling Cheng, Gao Jingyang*. CnnSV-Typer: Calling of structural variation genotype based on CUDA acceleration. 21st IEEE International Conference on High Performance Computing and Communications, HPCC 2019, August 10-12, 2019.

  • Xiaodong Zhang, Jingyang Gao*. Concod: Accurate Consensus-based Approach of Calling Deletions from High-throughput Sequencing Data. The 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen,China,Dec 15-18,2016.（CCF  B类）

  • Lei Cai, Jingyang Gao*. Concod: an effective integration framework of consensus-based calling deletions from next-generation sequencing data. International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 17, No. 2, 2017,pp153-172.

  • Jing Wang, Jingyang Gao*. Deletion genotype calling on the basis of sequence visualization and image classification. Int. J. Data Mining and Bioinformatics.2018, 20(2) ,pp: 109-122.

  • Jing Wang, Jingyang Gao*. CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural Networks. BioMed Research International Volume 2017 (2017), Article ID 6375059, 8 pages.

  • GUAN Rui, GAO Jing-yang*. Machine-learning-aided precise prediction of deletions with next-generation sequencing. Journal of Central South University. 2016.12.31，23(12):3239~3247.

  • Gao Jingyang*. An integrated strategy for genomic deletion variant detection based on AdaBoost. Journal of Southeast University (Natural Science Edition), 2014,44(5),pp924-928.(EI:201444132369).

  • ZHANG Ze-Zhong, GAO Jing-Yang*, LU Gang, ZHAO Di. Deep learning-based image classification method for gastric cancer pathology. Computer Science.2018,11,pp263-268.