Liyan Chen
@liyanc98
PhD student at UT Austin.
Working on Computer Vision and Computational Geometry. I make geometric methods scaling with GPUs.
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Research
My research harnesses the synergy between a principled algebraic perspective and innovative machine learning to develop versatile and scalable methods for 3D Vision and Geometry.
I obtained dual undergraduate degrees in Pure Mathematics and Computer Science at University of California Irvine, where I worked with two brilliant professors, Prof. Charless Fowlkes and Prof. Alessandra Pantano.
Recent Updates
2025/02
⚡Flash3D: Super-Scaling Point Transformers through Joint Hardware-Geometry Locality was accepted to CVPR 2025 (Spotlight)✨.
2024/07
Presented PDGen: Enhancing Implicit Shape Generators Using Topological Regularizations at ICML 2024.
2024/06
Memory is always configured on a gap—to re-member suggests the forgetfulness, the loss upon which it is founded.