Kaiwen LI

Student at BFSU

kevin@bfsu.edu.cn

[CV]

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 (opens new window).

Motivated by the observation that data is a scarce resource, my current research interests center on addressing this challenge at two distinct levels:

• At individual decision maker level, I am interested in data-driven decision making, with a special focus on data efficiency;
• At platform level, I strive to understand the data sharing mechanism of multi-agent collaborated learning and explore how it contributes to improved decision-making outcomes.

Methodologies:

• Approximate Dynamic Programming / Reinforcement Learning
• Contextual Optimization
• Collaborative Learning

Applications:

• Transportation and Logistics
• Renewable Energy
• Online Platform

Education

• International Business School, Beijing Foreign Studies University, China
  Master in Management Science & Engineering
  GPA: 3.79/4.00, Rank: 1/24
  Courseworks: Machine Learning, Optimization, Advanced Statistics
  2022 - Present

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

Research

Publications

• 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)]
  Model: Vehicle Routing Problem (VRP) and Markov Decision Process (MDP)
  Algorithm: Approximate Dynamic Programming (ADP, closely related to RL)

• 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)]

Working Papers

• Data Provision via Federated Learning Platforms under Competition
  Joint work with Prof. Mingxi Zhu (opens new window)
  Presented by Prof. Zhu at 2024 INFORMS Annual Meeting
  Study incentives for firms to participate in collborative learning platform with potential competitors, thereby potentially compromising their competitive advantage through analyzing data quantity and quality.

• Near-Optimal Cost Function Approximation for Technician Routing and Scheduling
  Joint work with Prof. Xi Chen (opens new window)
  Presented at 2024 INFORMS Annual Meeting
  Leverage the relationship between regularization and robust optimization to construct theoretically optimal cost function for multi-stage problems.

• 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

• Chinese National Scholarship (Top 2%)
  2024

• First Class Scholarship, Beijing Foreign Studies University
  2022,2023

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

Funding

• Student Research Funds: Key Project, 2023-2024, Beijing Foreign Studies Univeristy
  ¥10,000 (∼ $1,400), Role: Principal Investigator
  

• Research Funds for the Central Universities, 2022-2024
  ¥360,000 (∼ $50,000), Role: Role: Co-Investigator
  

• Student Research Funds: General Project, 2021-2022, Beijing Foreign Studies Univeristy
  ¥5,000 (∼ $700), Role: Principal Investigator
  

Teaching

• Teaching Assistant, Introduction to Operations Research (Graduate)
  Beijing Foreign Studies University, Spring 2024

• Teaching Assistant, Probability and Statistics (Undergraduate)
  Beijing Foreign Studies University, Fall 2023