GUO Lei
Education
Dalian University of Technology, Ph.D, 2013, Dalian, China
Yantai University, Bachelor, 2008, Yantai, China
Teaching (2023-2024)
MBA
Data Modelling and Decision- Making
Bsc
Transport and Distribution Management
Professional Occupation Practice
Msc
Machine Learning
Optimization Method
PhD
Management Optimization Theory
Advanced Machine Learning
SELECTED INTELLECTUAL CONTRIBUTIONS (Completed within 5 years)
JOURNAL ARTICLES
GUO Lei. 2023. Sensitivity Analysis of the Maximal Value Function with Applications in Nonconvex Minimax Programs. Mathematics of Operations Research.
GUO Lei. 2022. Managing your own low-tier suppliers via donation to NGOs: Why do multi-national corporations bother?. International Journal of Production Economics.
GUO Lei. 2022. A Stackelberg game model with tax for regional air pollution control. Journal of Management Analytics.
GUO Lei. 2022. Global convergence of augmented lagrangian method applied to mathematical program with switching constraints. Journal of Industrial and Management Optimization.
GUO Lei. 2022. Mordukhovich stationarity for mathematical programs with switching constraints under weak constraint qualifications. Optimization.
GUO Lei. 2022. Study on the Impact of Carbon Allowance Allocation Methods on Manufacturing_ Remanufacturing under Carbon Trading. Systems Engineering-Theory & Practice.
GUO Lei. 2021. A New Augmented Lagrangian Method for MPCCs - Theoretical and Numerical Comparison with Existing Augmented Lagrangian Methods. Mathematics of Operations Research.
GUO Lei*. 2021. A convex programming approach for ridesharing user equilibrium under fixed driverrider demand. Transportation Research Part B-Methodological.
GUO Lei*. 2020. Mathematical programs with multiobjective generalized Nash equilibrium problems in the constraints. Operations Research Letters.
Hui Zhang, Yuhong Dai, GUO Lei*, Wei Peng. 2020. Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions. Mathematics of Operations Research.
GUO Lei, Xiaojun Chen. 2019. Mathematical programs with complementarity constraints and a non-Lipschitz objective: optimality and approximation. Mathematical Programming.
RESEARCH AWARDS RECEIVED
A convex programming approach for ridesharing user equilibrium under fixed driverrider demand, Second Prize of the 16th Shanghai Philosophy and Social Science Outstanding Achievement Award (Paper), 2023
Outstanding Young Talents, Ten Thousand Talents Initiative, 2023
INDUSTRY/RESEARCH PROJECTS
Research on data-driven fusion methods for prediction and optimisation, Four Youth Talents Program, 2023
Algorithms and Applications of Structural Bilayer Programming, National Natural Science Foundation of China, 2022
Theoretical and Methodological Studies of Non-Lipshitz Bi-level Programming, Shanghai Natural Science Fund Project, 2022
Research Centers
Research Impact
*Over the past five academic years
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