The majority of yafeng's work is to analyse real data with complex structures. The types of data include longitudinal data and functional data. As the size of the data is generally large, I am particularly interested in developing new algorithms or methods in the 'big data' environment.

Previously I proposed a new variable selection algorithm for functional linear regression with scalar response and mixed scalar and functional covariates as the main chapter of my thesis. This was applied to the movement data analysis for stroke patients.

Selected Papers