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
Convergence Estimation of Markov-Chain Monte Carlo Rendering
Rui Yu, Guangzhong Sun, Shuang Zhao, Yue Dong
Eurographics Symposium on Rendering (EGSR), July 2025
selected teaching
Recent 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