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). In my research, I apply convex optimization and data-driven methods to problems in computational imaging. I am particularly interested in 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)



SCREEN: SCatteREr ENabled optical asymmetry
Yongyi Zhao*, Sean M. Farrell*, Christian R. Jacobson, AJ Yates, Andrew McClung, Urcan Guler, Naomi J. Halas, Peter Nordlander, and Ashok Veeraraghavan
Optica, [Paper]



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



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



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



High spatial resolution diffuse optical tomography with directional information
Zijing Guo, Yiyi Yang, Yongyi Zhao, Jacob Robinson, and Ashok Veeraraghavan
Optics Letters, [Paper]



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



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


Additional 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
Research Intern (MPI), May 2023 - Aug 2023

Amazon Web Services
Software Development Intern (EC2), May 2017 - Aug 2017

Schrodinger Inc.
Software Engineer Intern, June 2016 - Aug 2016

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