Tianjiao Ding
Ph.D. Student • Innovation in Data Engineering and Science (IDEAS) • University of Pennsylvania • Email: tjding@upenn.edu
I am a PhD student at University of Pennsylvania, advised by René Vidal. I work closely with Benjamin D. Haeffele and Yi Ma. Prior to my PhD, I spent two years as a research assistant at ShanghaiTech University, advised by Manolis C. Tsakiris and collaborating with Laurent Kneip. I received a master’s degree in applied mathematics and statistics from Johns Hopkins University, and a bachelor’s in computer science with honor from ShanghaiTech.
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 manifold learning and clustering, 3D vision and robotics.
I love to chat about research, life, and fun. If you are a student interested in doing research with me, please email me with your CV and transcript. For master’s students and undergraduates, the recommended time investment is at least 15 hours per week.
News
May 2022 | One paper accepted to ICML 2022 and one to CVPR 2022! |
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Nov 2021 | All papers have code available now. |
Aug 2020 | I shared some stories about my undergraduate career at the SIST website, ShanghaiTech. |
Publications
- Unsupervised Manifold Linearizing and ClusteringIn International Conference on Computer Vision, 2023
- Understanding Doubly Stochastic ClusteringIn International Conference on Machine Learning, 2022
- Efficient Maximal Coding Rate Reduction by Variational FormsIn IEEE Conference on Computer Vision and Pattern Recognition, 2022