Ying He @NTU
Ying He

College of Computing and Data Science
Nanyang Technological University

Office: S3-B1c-98
Tel: +65 6514 1008
Email: yhe `at' ntu.edu.sg


My research began with manifold splines during my PhD at Stony Brook University (supervised by Prof. Hong Qin and Prof. Xianfeng Gu), which laid the foundation for my work in geometry processing and geometric computing. It has since evolved along a continuous geometry-driven trajectory, from geometric modeling to digital geometry processing and, more recently, to 3D vision and 3D deep learning. Across these directions, a unifying theme is the development of geometry-aware, representation-first methods that reformulate difficult geometric inference problems into reusable and scalable computational structures for the reconstruction, representation, and understanding of 3D data under real-world constraints such as noise, incompleteness, scale, and complex topology. In recent years, my work has focused on the following research directions:

I am looking for highly motivated NTU students who are interested in conducting research in digital geometry processing, 3D vision, and 3D deep learning. Current NTU undergraduate and MSc students with a strong background in mathematics and/or programming are welcome to contact me to discuss potential research projects and opportunities. Students who have actively participated in mathematics or programming competitions, or who particularly enjoy solving challenging, non-routine problems, are especially encouraged to apply, as these skills are well suited to the research projects in my group. When contacting me, please include your latest CV so that I can better understand your background and research experience.


Selected Publications

Monograph

Journal papers

Referred conference papers


Awards


Professional Services