Mengyu Zhao
PhD in ECE, Rutgers University

CoRE Building, Room 735
96 Frelinghuysen Rd
Piscataway, NJ, 08854
Hi, I am Mengyu Zhao, a third-year PhD student in the Department of Electrical and Computer Engineering (ECE), Rutgers University, working with Prof. Shirin Jalali.
My research interests primarily focus on Inverse Problems, Image and Video Compression and Reconstruction, Efficient AI, etc.
- Inverse Problem: Exploring theoretical performance limits and developing efficient, robust algorithms (e.g., generative models, implicit priors, NeRF, etc.) for imaging systems.
- Efficient AI: Improving efficiency in vision-LLM
Before my PhD, I got Master’s in Statistics at Rutgers University and Bachelor’s degree from Xi’an Jiaotong University (XJTU), advised by Prof. Xiaohu Yang.
I am always open to discussions and collaborations—please feel free to reach out! This semester, I am organizing a reading group focusing on deep learning and inverse problems.
Outside of academia, I enjoy playing tennis and hiking. Let me know if you would like to meet up for a tennis rally!
Email: mengyu.zhao [at] rutgers [dot] edu
news
Dec 11, 2024 | Present our work on UNN for snapshot compressive imaging in NeurIPS 2024, Vancouver, Canada |
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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! |
selected publications
- arXiv
- arXivTheoretical Characterization of Effect of Masks in Snapshot Compressive ImagingSubmitted (longer version of Allerton 2023 paper), 2025
- AllertonTheoretical Analysis of Binary Masks in Snapshot Compressive Imaging Systems2023 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2023