MLBDBI 2019

Welcome Dr. Jingyu Ye from BGI Research, China to be committee member！

Dr. Jingyu Ye, BGI Research, Shenzhen, China

Research Area:

Medical image analysis, image forensics, Deep learning, and pattern recognition

Research Experience:

Dr. Jingyu Ye has joined BGI Research, Shenzhen, China, since 2017, and is currently a senior algorithm engineer and researcher there. He obtained his B.E. degree from Beihang University, Beijing, China; his Ph.D. degree and M.S. degree from New Jersey Institute of Technology, Newark, NJ, USA. His research interests include medical image analysis, multimedia forensics and security, deep learning, and pattern recognition.

[1] Jingyu Ye, Yuxi Shi, Guanshuo Xu, and Yun Q. Shi, “A convolutional neural network based seam carving detection scheme for uncompressed digital images,” Proc. 17th Int. Workshop Digital Forensics and Watermark, 2018. DOI: 10.1007/978-3-030-11389-6_1.

[2] Jingyu Ye, Zhangyi Shen, Piyush Behrani, Feng Ding, and Yun Q. Shi, “Detecting USM image sharpening by using CNN,” Signal Processing: Image Communication. 2018. DOI: 10.1016/j.image.2018.04.016.

[3] Jingyu Ye and Yun Q. Shi, “A hybrid feature model for detecting seam carving detection,” Proc. 16th Int. Workshop Forensics and Watermark, 2017. DOI: 10.1007/978-3-319-64185-0_7.

[4] Jingyu Ye and Yun Q. Shi, “An effective method for seam carving detection,” Journal of Inf. Security and Applications, 2017. DOI: 10.1016/j.jisa.2017.04.003.

[5] Jingyu Ye and Yun Q. Shi, “A local derivative pattern based image forensic framework for seam carving detection,” Proc. 15th Int. Workshop Digital Forensics and Watermark, 2016. DOI: 10.1007/978-3-319-53465-7_13.

Personal Website: https://www.researchgate.net/profile/Jingyu_Ye