My name is Yongyi Zhao (赵永一). I am a PhD researcher in the Rice University Electrical and Computer Engineering (ECE) department, working with Professor Ashok Veeraraghavan in the Computational Imaging Group. I received my B.S. and M.S. in ECE degrees from Carnegie Mellon University, and Rice University, respectively. From Jan 2021 - Dec 2022, I was supported by a 2-year National Library of Medicine (NLM) fellowship. My research focuses on imaging through scattering media. Topics that I find particularly interesting include inverse rendering, neural rendering, deep image prior, and implicit neural representations.

Additional information about me are available in the links below. You can also send me an email at the following address: yongyi 'at' rice 'dot' edu.

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

Misc. Publications

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. [Book Chapter]

Work Experience

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


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


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