Hi! My name is Yongyi Zhao (赵永一). I am a Computer Vision Engineer at Metalenz. I obtained my PhD and MS from Rice University in Electrical and Computer Engineering (ECE) and my BS in ECE from Carnegie Mellon University. During my PhD, I was supported by a fellowship from the National Library of Medicine (NLM). My research focuses on convex optimization and data-driven methods for computational imaging. Topics I am particularly interested in include polarimetric imaging, end-to-end learning for optical design, and neural inverse rendering. Additional information about me is available in the links below. You can also send me an email at: yongyizhao 'at' gmail 'dot' com.

Selected Publications

(* indicates equal contribution)



Yongyi Zhao, Ankit Raghuram, Fay Wang, Stephen Hyunkeol Kim, Andreas Hielscher, Jacob Robinson, and Ashok Veeraraghavan
Unrolled-DOT: an Interpretable Deep Network for Diffuse Optical Tomography
Journal of Biomedical Optics, [Code] [Paper] [Data]



Yongyi Zhao*, Ankit Raghuram*, Stephen Hyunkeol Kim, Andreas Hielscher, Jacob Robinson, and Ashok Veeraraghavan
High Resolution, Deep Imaging Using Confocal Time-of-Flight Diffuse Optical Tomography
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), [Code] [Paper]



Akshat Dave, Yongyi Zhao, and Ashok Veeraraghavan
PANDORA: Polarization-Aided Neural Decomposition Of Radiance
ECCV 2022, [Project Page] [Code] [Paper] [Data]



Stephen Hyunkeol Kim, Yongyi Zhao, Ankit Raghuram, Ashok Veeraraghavan, Jacob Robinson, and Andreas Hielscher
Ultrafast and Ultrahigh-Resolution Diffuse Optical Tomography for Brain Imaging with Sensitivity Equation based Noniterative Sparse Optical Reconstruction (SENSOR)
Journal of Quantitative Spectroscopy and Radiative Transfer, [Paper]



Yi Hua, Yongyi Zhao, and Aswin Sankaranarayanan,
Angle Sensitive Pixels for Lensless Imaging on Spherical Sensors
[Paper]


Misc. Publications

Yongyi Zhao, Ankit Raghuram, Ashok Veeraraghavan, and Jacob Robinson. GDOT: Gated Diffuse Optical Tomography. US20230233085A1. 2023. [Patent Pending]

Ankit Raghuram, Yongyi Zhao, Akash Maity, and Ashok Veeraraghavan. "Measuring Physiological Parameters Under the Skin Using Visible/NIR Light" in Encyclopedia of Sensors and Biosensors, Volume 4 pp 133-142. 2023. [Book Chapter]

Work Experience

Metalenz
Computer Vision Engineer, Feb 2024 - Present

Samsung Research America
Computational Imaging Research Intern, May 2023 - Aug 2023
Team: Mobile Processor Innovation

Amazon Web Services
Software Development Engineer Intern, May 2017 - Aug 2017
Team: Elastic Cloud Compute

Schrodinger Inc.
Software Engineer Intern, June 2016 - Aug 2016
Team: Python Development

Teaching

University Courses

ELEC 531 Statistical Signal Processing (Rice): Teaching Assistant, Spring 2020
ELEC 241 Fundamentals of Electrical Engineering I (Rice): Teaching Assistant, Fall 2019, Fall 2020
ELEC 244 Fundamentals of Electrical Engineering II Lab (Rice): Teaching Assistant, Spring 2019
ELEC/COMP 576 Introduction to Deep Learning (Rice): Teaching Assistant, Fall 2018
18-240 Structure and Design of Digital Systems (CMU): Teaching Assistant, Fall 2017
15-112 Fundamentals of Programming and Computer Science (CMU): Teaching Assistant, Spring 2016, Spring 2018

Outreach

Research for Undergraduates (REU) Mentor: Mentored (3) Rice University undergraduate students in algorithms for imaging through scattering media, Spring 2019 - Spring 2021.
PATHS-UP Research Experience for Teachers (RET): Research Mentor, Summer 2019