Mengyu Zhao

PhD in ECE, Rutgers University

mypic.jpg

CoRE Building, Room 735

96 Frelinghuysen Rd

Piscataway, NJ, 08854

Hi, I’m Mengyu Zhao, a third-year PhD student in the Department of Electrical and Computer Engineering (ECE) at Rutgers University, advised by Prof. Shirin Jalali.

My research focuses on Computational Imaging, Inverse Problems, and Statistical Machine Learning. Currently, I am working on developing theoretical guarantees and efficient machine learning algorithms for modern computational imaging inverse problems, such as Snapshot Compressive Imaging. Feel free to reach out if you’d like to discuss or collaborate.

Before this, I earned my Master’s degree in Statistics at Rutgers and my Bachelor’s degree from Xi’an Jiaotong University (XJTU) under the guidance of Prof. Xiaohu Yang.

This semester, we are organizing a reading group that explores topics in deep learning and inverse problems.

Outside of academia, I enjoy tennis and hiking. Let me know if you’d like to meet up for a rally sometime!

Email: mengyu.zhao [at] rutgers [dot] edu

news

Sep 27, 2024 Invited as a reviewer of ICLR 2025.
Sep 26, 2024 One paper got accepted by NeurIPS 2024!
May 23, 2024 Presented our work of mask analysis for snapshot compressive imaging at Conference on Inverse Problems for Partial Differential Equations, Rutgers University.
Mar 25, 2024 Passed my qualifying exam. Thanks for my advisor’s help on my exam!
Feb 09, 2024 Invited as a reviewer of ISIT 2024.

selected publications

  1. NeurIPS
    Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms
    Mengyu Zhao, Xi Chen, Xin Yuan, and Shirin Jalali
    In Advances in Neural Information Processing Systems, 2024
    arXiv Code
  2. Allerton
    Theoretical Analysis of Binary Masks in Snapshot Compressive Imaging Systems
    Mengyu Zhao, and Shirin Jalali
    In 2023 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2023
    arXiv