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NCSA 4102B
about me

I am an Associate Professor at the Siebel School of Computing and Data Science of the University of Illinois Urbana-Champaign (UIUC). Before joining UIUC, I was an Associate Professor at the Department of Computer Science of the University of California, Irvine (UCI). I obtained my Ph.D. in computer science from Cornell University in 2014 advised by Kavita Bala.

I received the NSF CAREER Award and a SIGGRAPH Asia Best Papers Award in 2023.

My group works mainly in physics-based computer graphics and scientific computing with a focus on modeling and simulating light transport in complex environments. Additionally, we aim to develop efficient solutions to the inverse problems centered around the inference of geometric or material properties from physical or simulated measurements.

Perspective students/visitors: If you are interested in working with me, please check this page.

recent publications
Robust Derivative Estimation with Walk on Stars
Zihan Yu, Rohan Sawhney, Bailey Miller, Lifan Wu, Shuang Zhao
ACM Transactions on Graphics (SIGGRAPH Asia 2025), 44(6), December 2025
Image-Space Adaptive Sampling for Fast Inverse Rendering
Kai Yan, Cheng Zhang, Sébastien Speierer, Guangyan Cai, Yufeng Zhu, Zhao Dong, Shuang Zhao
ACM SIGGRAPH 2025 (conference-track full paper), August 2025
Unbiased Differential Visibility Using Fixed-Step Walk-on-Spherical-Caps And Closest Silhouettes
Lifan Wu, Nathan Morrical, Sai Bangaru, Rohan Sawhney, Shuang Zhao, Chris Wyman, Ravi Ramamoorthi, Aaron Lefohn
ACM Transactions on Graphics (SIGGRAPH 2025), 44(4), August 2025
Guiding-Based Importance Sampling for Walk on Stars
Tianyu Huang, Jingwang Ling, Shuang Zhao, Feng Xu
ACM SIGGRAPH 2025 (conference-track full paper), August 2025
Differentiating Variance for Variance-Aware Inverse Rendering
Kai Yan, Vincent Pegoraro, Marc Droske, Jiří Vorba, Shuang Zhao
ACM SIGGRAPH Asia 2024 (conference-track full paper), December 2024
selected teaching
Conference courses:
State of the Art in Grid-Free Monte Carlo Methods for Partial Differential Equations
Rohan Sawhney, Bailey Miller, Ioannis Gkioulekas, Keenan Crane, Wojciech Jarosz, Shuang Zhao,
Mohammad Sina Nabizadeh, Zilu Li
SIGGRAPH 2025 Course
Physics-Based Differentiable Rendering
Shuang Zhao, Ioannis Gkioulekas, and Sai Bangaru
CVPR 2021 Tutorial
Physics-Based Differentiable Rendering: A Comprehensive Introduction
Shuang Zhao, Wenzel Jakob, and Tzu-Mao Li
SIGGRAPH 2020 Course