About me
I am a Ph.D. candidate in Operations Research at Georgia Institute of Technology, advised by Dr. Eunhye Song. Previously, I received my bachelor’s degree in Mathematics and Applied Mathematics from Fudan University and master’s degree in Statistics from Columbia University.
My research interests lie across many topics: uncertainty quantification; simulation optimization and stochastic optimization; non-parametric methods and highdimensional statistics.
Education
- Ph.D. in Operations Research, Georgia Institute of Technology, 2025 (Expected)
- M.A. in Statistics, Columbia University, 2019
- B.S. in Mathematics and Applied Mathematics, Fudan University, 2017
Publications
Linyun He, Mingbin Ben Feng, Eunhye Song (2023) Efficient Input Uncertainty Quantification for Regenerative Simulation, Accepted to present at the 2023 Winter Simulation Conference.
Linyun He, Uday V. Shanbhag, Eunhye Song (2023) Stochastic Approximation for Multi-period Simulation Optimization with Streaming Input Data, Accepted by ACM Transactions on Modeling and Computer Simulation.
Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B Cohen (2022) Nonparametric Learning of Two-Layer ReLU Residual Units, Transactions on Machine Learning Research 2022.
Linyun He, Eunhye Song (2021) Nonparametric Kullback-Liebler Divergence Estimation using m-Spacing, In Proceedings of the 2021 Winter Simulation Conference.
Zihao Wang, Linyun He, Zhenyun Qin, Roger Grimshaw, Gui Mu (2019) High-order rogue waves and their dynamics of the Fokas–Lenells equation revisited: a variable separation technique, Nonlinear Dynamics 98 (3), 2067-2077.
Contact
Email: lhe85 at gatech dot edu
Office: ISyE Main 416