Yanjun Liu

Yanjun Liu

Operations research graduate student at Princeton University

I am a first-year PhD student at Department of Operations Research and Financial Engineering, Princeton University. My research interests broadly lie in mathematical optimization and its related applications. I am interested in developing optimization algorithms that are robust in both theory and practical implementation. Prior to Princeton, I obtained my undergraduate degree in Mathematics from the Australian National University, where I was very fortunated to be advised by Prof. Qinian Jin and work with Prof. Lindon Roberts.

Education

PhD in Operations Research and Financial Engineering, Princeton Unviersity, August 2023 - July 2027 (expected)

Bachelor of Mathematical Sciences (Honours), Australian National University, February 2020 – July 2023

Publications

Qinian Jin, Yanjun Liu (2024). Convergence Analysis of a Stochastic Heavy-ball Method for Linear ill-posed Problems. preprint

Yanjun Liu, Kevin H. Lam, Lindon Roberts (2024). Black-box Optimization Algorithms for Regularized Least-squares Problems. preprint software

Talks

25th International Symposium on Mathematical Programming at Montréal, Canada. July 2024 (abstract, slides)

Teaching

Australian National University - Demonstrator

  • (S1 2023) MATH2320 Advanced Analysis 1: Metric Spaces and Applications
  • (S2 2022) COMP3670 Introduction to Machine Learning
  • (S2 2022) COMP2400 Relational Databases
  • (S1 2021) Joint ANU-Shandong University Course MA1: Mathematical Abstraction 1

Awards