About Me

• I am an assistant professor in mathematics at UC Davis since Fall 2023.
• I was a postdoctoral research associate in the Program in Applied and Computational Mathematics (PACM) at Princeton University under the supervision of Prof. Amit Singer from 2020 to 2023. I obtained my Ph.D. degree in Mathematics from University of Minnesota under the supervision of Prof. Gilad Lerman.
• I am actively seeking Ph.D. students. If you are interested in working with me, please send your CV to ypshi at ucdavis dot edu.

Research Interests

• 3D Computer Vision & Image Processing
• Cryo-electron Microscopy Imaging (3D Imaging for Protein Molecules)
• Robust Estimation & Outlier Detection
• Scalable Computational Methods
• Nonlinear Dimension Reduction & Manifold Learning
• Optimal Transport

Academic Services

• Area Chair: NeurIPS ICML
• Program Committee: NeurIPS ICML ICLR CVPR ICCV AISTATS-2022 Top Reviewer
• Journal Reviewer: SIAM Journal on Mathematics of Data Science, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Robotics and Automation Letters, IEEE Transactions on Circuits and Systems for Video Technology

News

• Mar 2025: Our paper on sliced-Wasserstein-based image alignment is posted online. It is the first OT-based alignment method that achieves $O(L^2\log L)$ complexity for $L\times L$ images, which matches that of the Euclidean-based methods. Code is available here.
• Feb 2024: Our new paper on the distributed group synchronization is accepted to CVPR 2024.
• Nov 2022: I will be organizing the minisymposium “Problems and Solutions of 3-D Reconstruction” at 2023 SIAM Conference on Computational Science and Engineering at Amsterdam, Netherland.
• Nov 2022: Our code for fast principal component analysis of cryo-EM images is released at https://github.com/yunpeng-shi/fast-cryoEM-PCA and will be merged into ASPIRE-python for single particle reconstruction.