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

• Program Committee: NeurIPS-2023 CVPR-2023 ICLR-2023 NeurIPS-2022 AISTATS-2022 Top Reviewer ICML-2022 ICLR-2022 AISTATS-2021 NeurIPS-2021
• Journal Reviewer: IEEE Robotics and Automation Letters, IEEE Transactions on Circuits and Systems for Video Technology

News

• Nov 2024: I will serve as an area chair for ICML 2025.
• April 2024: I will serve as an area chair for NeurIPS 2024.
• 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.