About Me
Hi! I am Chang Yue. I am currently a Ph.D. student in the Dynamic Graphics Project lab at the University of Toronto, supervised by Prof. Eitan Grinspun. In general, I am interested in physical simulation in computer graphics. I am currently doing some projects on speeding up deformable simulation using neural networks. Before my Ph.D study, I got my master's degree from School of Software & Microelectronics, Peking University, where I was lucky to work with Prof. Xiaowei He, Prof. Sheng Li and Prof. Guoping Wang on solid-fluid coupling. I got my bachelor's degree from Beihang University in 2019.
Publications
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields
Yue Chang, Peter Yichen Chen , Zhecheng Wang , Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun
SIGGRAPH Asia, 2023
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, Yue Chang, G A Pershing, Henrique Teles Maia, Maurizio Chiaramonte, Kevin Carlberg, Eitan Grinspun
International Conference on Learning Representations (ICLR), 2023
Semi-analytical Solid Boundary Conditions for Free Surface Flows
Yue Chang, Shusen Liu, Xiaowei He, Sheng Li, Guoping Wang
Compute Graphics Forum (Pacific Graphics), 2020
Work Experience
Research Intern / MEGVII
Apr 2019 - Nov 2019
Teaching Assistant of Computer Architecture / Beihang University
Jun 2017 - Jan 2018
Others
Open Source Physics Engine
Sep 2019 - Aug 2022
During master's study I contributed to PhysIKA and PeriDyno, which are designed for real-time simulation of diverse physical materials. My responsibilities included the C++/CUDA implementation of fluid boundary conditions, rigid body dynamics, and a portion of the neighbor searching algorithm.