Minghao Huang

My name is Minghao Huang (黄铭昊). I am working as a Rendering Engineer at miHoYo. Previously, I earned my M.S. degree in Computer Science at the University of California, Santa Barbara, advised by Prof. Lingqi Yan. I received my B.S. degree from the Department of Computer Science and Technology at Nanjing University, advised by Prof. Jie Guo, with people’s scholarships for three years and the excellent graduate student honor. My research interest is computer graphics, mainly focusing on rendering, both physically based rendering and non photorealistic rendering, especially appearance modelling. My goal is realizing fantastic video games!

Selected publications

Macrofacet Theory for Gaussian Process Statistical Surfaces

Minghao Huang, Yuang Cui, Beibei Wang, and Lingqi Yan

ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2026). To appear, 2026
Biophysically-based Simulation of Sun-induced Skin Appearance Changes

Xueyan He^*, Minghao Huang^*, Ruoyu Fu, Jie Guo, and 3 more authors

In Pacific Graphics Conference Papers and Posters, 2024

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Skin appearance modeling plays a crucial role in various fields such as healthcare, cosmetics and entertainment. However, the structure of the skin and its interaction with environmental factors like ultraviolet radiation are very complex and require further detailed modeling. In this paper, we propose a biophysically-based model to illustrate the changes in skin appearance under ultraviolet radiation exposure. It takes ultraviolet doses and specific biophysical parameters as inputs, leading to variations in melanin and blood concentrations, as well as the growth rate of skin cells. These changes bring alteration of light scattering, which is simulated by random walk method, and result in observable erythema and tanning. We showcase effects of various skin tones, comparisons across different body parts, and images illustrating the impact of occlusion. It demonstrates superior quality to the the commonly used method with more convincing skin details and bridges biological insights with visual simulations.