Qixin Liang

I am a PhD candidate at HKU. My research lies at the intersection of the computer graphics and computational mechanics communities.

Email  /  Linkedin  /  Github

Research

I am interested in physics simulation, computational mechanics, and physical AI, with a focus on applying these techniques to real-world applications. I have some industry research experience in data-driven multi-physics simulation and robotics simulation. Recent publications.

We propose a graph-neural-network-based framework and a cloth motion capture pipeline for real-time prediction of real-world cloth deformation.

We propose a novel computational framework for modeling and simulating origami structures using bilinear solid-shell elements.

We present six thin plate/shell models, all featuring constant bending energy Hessians, which offer significant benefits for implicit simulations using thin plate/shell models. In the source code repository libThinPlateShells, we provide 13 different bending formulations for researchers and practitioners.

We present a computational model in which the membrane model effectively mitigates the sharp creasing artifact in cloth simulation, while incorporating an efficient bending model.