Yuhe Qin

I am Yuhe Qin, an undergraduate in the Fields Honors Class in Mathematics at the Southern University of Science and Technology (SUSTech), pursuing a B.Sc. in Mathematics and Applied Mathematics (expected Jul 2026). I was a visiting student at UC Berkeley in 2025, where I studied efficient algorithms, data structures, artificial intelligence, and discrete mathematics.

My research interests center on topological data analysis and topology-aware learning. My bachelor’s thesis, supervised by Prof. Yifei Zhu, studies geometric and topological inductive biases in deep learning for 3D point clouds, including persistent homology for feature extraction and ablation studies with PointNet backends. I previously worked as a research intern on computational topology and signal representation, and presented a poster on topology-enhanced machine learning at SPIRES 2024 in Oxford.

I enjoy building tools that make abstract mathematics tangible—for example, my interactive Vietoris–Rips demo visualizes filtrations and persistence diagrams on 2D point clouds.

See my projects and CV for more detail.