Tianjiao Ding

Ph.D. Student • Vision, Dynamics and Learning LabJohns Hopkins University • Email: tding@jhu.edu

I am a second-year Ph.D. student at Johns Hopkins University, advised by René Vidal. Prior to joining Hopkins, I spent two years as a research assistant at ShanghaiTech University, advised by Manolis C. Tsakiris and collaborating with Laurent Kneip. I received my undergraduate degree in computer science with honor from ShanghaiTech, working with Manolis and Yi Ma.

My research interests lie in the theoretical foundations of machine learning and data science as well as emerging applications. As such, I develop both rigorous mathematics and practical implementations in my work. In particular, I study subspace learning, 3D vision, and robotics.

News

Aug 2020 I shared some stories about my undergraduate career at the SIST website, ShanghaiTech.
May 2020 I will join the Vision, Dynamics and Learning Lab as a Ph.D. student at Johns Hopkins University in August 2020.
Mar 2020 One paper on robust homography estimation accepted to CVPR 2020 in Seattle, Washington.

Publications

  1. Robust Homography Estimation via Dual Principal Component Pursuit
    Robust Homography Estimation via Dual Principal Component Pursuit
    In IEEE Conference on Computer Vision and Pattern Recognition, 2020
  2. Noisy Dual Principal Component Pursuit
    Noisy Dual Principal Component Pursuit
    In the 36th International Conference on Machine Learning, 2019
  3. Learning to parse wireframes in images of man-made environments
    Learning to parse wireframes in images of man-made environments
    Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, and Yi Ma
    In IEEE Conference on Computer Vision and Pattern Recognition, 2018