My recent work involves developing Multilevel Monte Carlo methods to optimize rendering performance and utilizing online illumination learning for interactive global illumination.
Feel free to reach out at wonjunlee.0729 (at) gmail.com.
Programming Languages: C/C++, CMake, CUDA, GLSL, LaTeX, Python, Swift, Zig
Frameworks: Blender, Intel TBB, Mitsuba Renderer, OpenMP, Pbrt3, PyTorch, TensorFlow, Unity, Unreal5
Research Areas: Local Regression, Monte Carlo, Multi-armed Bandit, Multilevel Monte Carlo, Online Learning
W. Lee, The Visual Computer, vol. 41, no. 9, pp. 6335–6348, 2025.
@article{lee2025mlmc,
author = {Lee, Wonjun},
title = {Multilevel Monte Carlo for asymptotically efficient path tracing},
journal = {The Visual Computer},
year = {2025},
volume = {41},
number = {9},
pages = {6335--6348},
doi = {10.1007/s00371-025-03935-4}
}
H. An, W. Lee, and B. Moon, The Visual Computer, vol. 39, no. 8, pp. 3211–3220, 2023.
@article{an2023adaptive,
author = {An, Hyeonjang and Lee, Wonjun and Moon, Bochang},
title = {Adaptively weighted discrete Laplacian for inverse rendering},
journal = {The Visual Computer},
year = {2023},
volume = {39},
number = {8},
pages = {3211--3220},
doi = {10.1007/s00371-023-02955-2}
}
W. Lee, P. Jeong, H. Choi, J. Kim, and B. Moon, IEEE Access, vol. 10, pp. 109498–109509, 2022.
@article{lee2022online,
author = {Lee, Wonjun and Jeong, Piljoong and Choi, Hajin and Kim, Jinwoo and Moon, Bochang},
title = {Online Illumination Learning for Interactive Global Illumination in Augmented Reality},
journal = {IEEE Access},
year = {2022},
volume = {10},
pages = {109498--109509},
doi = {10.1109/ACCESS.2022.3214516}
}
Ph.D., AI Convergence, Mar 2018 – Feb 2026
M.S., Electrical and Computer Engineering, Mar 2015 – Feb 2018
B.S., Biomedical Engineering, Mar 2010 – Feb 2014
This website is a static site generated by Eleventy and hosted on GitHub Pages. The layout and design are inspired by Jeff Geerling's website.