I'm a PhD student in Computer Science at Simon Fraser University, working in the GrUVi Lab under the supervision of Prof. Andrea Tagliasacchi. My current research focuses on neural scene representations and more broadly, geometry processing, machine learning, computer graphics, and computer vision.
Before starting my PhD, I completed my Master’s degree in Computer Science at the Technical University of Munich, Germany, where I worked on spectral methods, functional maps, and deep shape matching.
I completed my Bachelor's degree at Xi'an Jiaotong University and spent a semester at the University of California, Berkeley.
Outside of research, I enjoy sci-fi and Nolan films 🤖.
Research
EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection
CVPR 2025
Novel overlap predictor, improved IoU performance on all challenging benchmarks by avg. 12%.
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
CVPR 2024
A novel approach of hybridizing basis functions originating from different operators, resulting in hybrid functional maps for shape correspondence tasks, improving performance in near-isometric, non-isometric, and topologically noisy settings.
Seminar
An Introductory Perspective on Functional Maps
Aims to provide an intuitive understanding of this representation, its significance, and its applications for non-rigid shape matching.
Thanks to Nicholas Sharp for the excellent template that this page is based on.