Kaiwen LI

Student at BFSU

Google Scholar

About Me

Hello! I'm a Master's student in Management Science & Engineering at Beijing Foreign Studies University (opens new window) where I am fortunate to be advised by Prof. Xi Chen. My research interests include topics in large-scale sequential decision-making and statistically efficient optimization under uncertainty. Specifically, I am interested in:


  • Approximate Dynamic Programming / Reinforcement Learning
  • (Distributionally) Robust Optimization


  • Transportation and Logistics
  • Renewable Energy


  • International Business School, Beijing Foreign Studies University, China
    Master in Management Science & Engineering
    2022 - Present

  • School of European Language and Culture, Beijing Foreign Studies University, China
    Bachelor of Arts in Italian Language and Literature
    2018 - 2022

  • High School Affliated to Nanjing Normal University, China
    2015 - 2018


  • Near-Optimal Cost Function Approximation for Technician Routing and Scheduling
    Brief Intro: Basically, Cost Function Approximation (CFA) can be written as: xtCFA=argminxX(c(xtπ,ξt)+Ω(xtπ,ξt))x_t^{\text{CFA}} = \arg \min_{x\in X} \left( c(x_t^\pi, \xi_t) + \Omega(x_t^\pi, \xi_t)\right), where xtx_t and ξt\xi_t refer to decision and exogenous random vector in stage tt, c()c(\cdot) is cost function and Ω()\Omega(\cdot) is any parametric function with parameter λ\lambda.
    In CFA, how to design a “good” function Ω()\Omega(\cdot) and choose a “good” parameter λ\lambda is a fundamental problem, yet previous works usually propose specific formulations for specific problems and, to the best of my knowledge, there does not exist a general framework about how to design a “good” CFA.
    In this paper, we aim to develop near-optimal formulation of CFA utilizing state abstraction and the relationship between regularization and robust optimization.

  • Technician routing and scheduling with employees’ learning through implicit cross-training strategy
    Xi Chen, Kaiwen Li, Sidian Lin, Xiaosong Ding
    International Journal of Production Economics 271, 109208 (2024)
    [Link (opens new window)]

  • Gradient boosting decision tree in the prediction of NOx emission of waste incineration
    Xiaosong Ding, Chong Feng, Peiling Yu, Kaiwen Li, Xi Chen
    Energy, 126174 (2022)
    [Link (opens new window)]

  • Measuring the robustness of international agricultural trade: A complex Network Approach
    Xi Chen, Kaiwen Li, Xiaosong Ding
    Under review at Chaos, Solitons and Fractals

Awards & Honors

  • The Mathematical Contest in Modeling 2021
    Finalist Winner (Top 1%)

  • First Class Scholarship, Beijing Foreign Studies University

Last Updated: 5/2/2024, 11:38:48 AM