Research at FAST

108 Department of Applied Mathematics Department of Applied Mathematics Representative Publications • D.F. Sun, K.C. Toh, and Y.C. Yuan *, Convex clustering: model, theoretical guarantee and efficient algorithm, Journal of Machine Learning Research, 22(9):1-32, 2021 • D Sun, KC Toh, Y.C. Yuan , XY Zhao, SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0), Optimization Methods and Software, 35, 87-115, 2020 • Y.C . Yuan , D.F. Sun, and K.C. Toh, An efficient semismooth Newton based algorithm for convex clustering, International Conference on Machine Learning (ICML), 2018 Dr YUAN Yancheng Research Assistant Professor Research Interests (1) Large/Huge scale sparse optimization: theory, algorithm design and software development (2) Mathematical foundation for data science (3) Data-driven applications with focus on healthcare and fintech Research Overview My research focuses on developing numerical algorithms to solve large scale optimization problems, including algorithm design, theoretical analysis and software development. As important applications, I also working on machine learning (especially on clustering), statistical optimization and healthcare applications. Qualification BSc (USTC) PhD (NUS) ORCID ID 0000-0002-8243-4683