Shing-Tung Yau, well-known to pure mathematicians for the proof of the Calabi conjecture, the Donaldson-Uhlenbeck-Yau theorem, the positive mass theorem in general relativity, and differential Harnack inequalities and various gradient estimates for PDE, also has interesting papers in applied topics such as
- "Genus zero surface conformal mapping and its application to brain surface mapping" (with X. Gu, Y. Wang, T.F. Chan, and P.M. Thompson)
- "GPU-assisted high resolution, real-time 3-D shape measurement" (with S. Zhang and D. Royer)
- "Geometric understanding of deep learning" (with N. Lei, Z. Luo, and X. Gu)