Juncai He
Scholar

Juncai He

Google Scholar ID: CG5GBW0AAAAJ
Assistant Professor, Yau Mathematical Sciences Center, Tsinghua University
Deep Neural NetworksNumerical AnalysisFinite Element MethodMultigrid
Citations & Impact
All-time
Citations
921
 
H-index
11
 
i10-index
13
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Background
  • Currently an Assistant Professor at Yau Mathematical Sciences Center, Tsinghua University.
  • Research focuses on mathematical analysis and algorithm development in machine learning and scientific computing, spanning both data and physical sciences.
  • Ph.D. training was grounded in classical numerical methods for partial differential equations (PDEs), especially finite element methods (FEM) and multigrid methods.
  • Primary research objective is to explore deep learning models and algorithms through the lens of numerical PDEs and geometry, aiming to advance theoretical foundations, algorithmic strategies, and practical applications.
  • Main research themes include: mathematical analysis of deep neural networks (DNNs) from a finite element perspective; theory, algorithms, and applications for CNNs and Transformers inspired by multigrid structures; and learning of data with low-dimensional structures.