Research Interests

My research interests are centered around approximation theory, computational harmonic analysis, numerical analysis, and discrete mathematics. Topics that I am working on include:

Interlacing Polynomials

The interlacing polynomial method has been successfully used to solve the Kadison-Singer problem. On one hand, we further develop the interlacing polynomial method itself. On the other hand, we use this method to investigate multiple problems in data science, such as subset selection problems.

Selected papers:

Box Splines and Algebra

Box splines are powerful tools in multivariate approximation theory and are closely connected with combinatorics and algebra. They play a pivotal role in the study of integer solutions of linear Diophantine equations, integer point counts in polytopes, polytope volumes, and zonotopal spaces.

Selected papers:

It is possible to reconstruct a sparse signal accurately from a limited number of measurements. I am particularly interested in deterministic encoding matrices and theoretical conjectures related to random matrices.

Selected papers:

Frame Theory and Quantization

Frames are widely used in applied mathematics, especially in image processing and information theory. My interests include B-spline wavelet frames, maximally equiangular frames, and applications to quantization.

Selected papers:

Phase Retrieval

Reconstructing signals from phaseless observations is a fundamental problem. I apply algebraic geometry to study its theoretical limits and develop practical recovery algorithms.

Selected papers:

Multivariate Splines and Computer-Aided Geometric Design

I worked on these topics before 2008.

Selected papers: