Tianyu Ding  

Ph.D. Candidate

Department of Applied Mathematics & Statistics
Johns Hopkins University
Baltimore, Maryland, USA

Email: tding1@jhu.edu
GitHub: tding1

[Google Scholar Profile] [LinkedIn]


I am a Ph.D. candidate from the Department of Applied Mathematics and Statistics (AMS) at Johns Hopkins University (JHU), advised by Dr. Daniel P. Robinson since 2016. And I have been working with JHU Vision Lab under the supervision of Dr. René Vidal since 2018. During my Ph.D. study, I obtained the Master's degree in Computer Science from the Department of Computer Science at JHU in 2020. Before that, I received the Master's degree in Financial Mathematics from AMS at JHU in 2016 and the Bachelor's degree in Mathematics from the School of Mathematics at Sun Yat-sen University in 2014.

My research interest focuses on the intersection between Numerical Optimization, Machine Learning, Deep Learning, and Computer Vision. I have a particular interest in the development of fundamental theory and the implementation of efficient algorithms for solving real problems.

I was a Research Intern in Applied Sciences Group at Microsoft from May 2020 to August 2020, advised by Dr. Luming Liang. My research project is about designing deep neural architectures for video frame interpolation. Our work has been accepted by CVPR 2021!





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