Yue Chang 常悦

I am a third-year PhD student in Computer Science at the University of Toronto, advised by Eitan Grinspun. My research focuses on computer graphics, particularly on exploring shape spaces and representing their fundamental structures. I develop methods to capture core properties, such as eigenfunctions and discontinuities, across shape families, enabling new applications in simulation and design.

Before beginning my Ph.D. studies, I received my master's degree from the School of Software & Microelectronics at Peking University, where I had the opportunity to work on solid-fluid coupling with Prof. Xiaowei He, Prof. Sheng Li, and Prof. Guoping Wang. I received my bachelor's degree from Beihang University in 2019.



Research

Shusen Liu, Xiaowei He, Yuzong Guo, Yue Chang, Wencheng Wang,
ACM Transactions on Graphics, Presented at SIGGRAPH North America 2024
Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, Yue Chang, G A Pershing, Henrique Teles Maia, Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun
International Conference on Learning Representations (ICLR), 2023
[Notable-top-25%]
[Best Paper Award, Neural Fields Workshop at ICLR 2023]

Experience



Updated Aug 07 2025
Thanks, Esther for the template!