Peiling YU, MSE in Systems Engineering, University of Pennsylvania.
Sidian LIN, Ph.D. student with full scholarship at Harvard University.
Yili ZHU, M.Sc. in Operations Research, Columbia University.
This topic is a variant of Vehicle Routing Problem Heuristics (VRPH), which focuses on Multi-period Dynamic Technician Routing and Scheduling Problems. Basically, we intend to take advantage of Approximate Dynamic Programming (ADP) in order to overcome the curse of dimensionality in dynamic programming. It seems relatively demanding in computer science and combinatorial optimization. To be specific, we implement various deterministic or heuristic algorithms, measure their performance, and try to develop new approaches, with C++.
Our research primarily concerns various computational issues in cutting plane methods for solving Disjoint Bilinear Programming and Integer Progamming (DBLP). For example, the neighbourhood enumeration problem, degeneracy removal, etc. Recently, we are also aware of some heuristic approaches. Needless to say, the point still lies in how to balance the precision and computational time during the development of a practical algorithm.
Our research in this field focuses on the combination of machine learning theory and applications in operations management. Based on state-of-the-art techniques, we are developing efficient algorithms for specific problems such as improving the process of denitration. In general, we intend to discover inherent manifold structure of high-dimentional data and hence figure out advanced methods for dealing with missing data. What's more, we are working on explainable machine learning through the pattern of real-world data and how would models react accordingly.
[2022.06] Peiling graduated from BFSU and will pursue her master's degree at University of Pennsylvania, congratulations to her!
[2022.06] Hu successfully passed the entrance exam and will start his Ph.D. life in September, congratulations to him!
[2022.04] Kaiwen will start his postgraduate life due to his outstanding performance in the National Graduate Entrance Examination, congratulations to him!
[2021.07] Sidian graduated from BFSU and is currently pursuing her Ph.D. degree at Harvard Univeristy, congratulations to her!
[2021.04] Kaiwen and his team are designated as Finalist Winner in 2021 ICM (The Interdisciplinary Contest in Modeling), congratulations to them!
We will defend in a manly way true science, extend and embellish it, not for gain's sake or for attaining a vain shine of glory, but in order that the light of truth shine bright and expand.
[2022.07] Technician Routing and Scheduling with Reinforcement Learning-based Implicit Cross-training Strategy
Xi CHEN, Kaiwen LI, Sidian LIN, and Xiaosong DING, European Journal of Operational Research
[2022.07] Death Code: An Analysis of the Influencing Factors of the Immediate Execution of the Death Penalty in Homicide Cases
Yanlong ZHANG, Mengqi BI, Xiaosong DING, and Xi CHEN
[2022.07] Domino Pyramid: Evidence from the International Agricultural Trade Network
Xi CHEN, Kaiwen LI, and Xiaosong DING, Food Security
[2022.03] Gradient Boosting Decision Tree in the Prediction of NOx Emission
Xiaosong DING, Chong FENG, Peiling YU, Kaiwen LI, and Xi CHEN, Energy
[2022.07] Developing Polar Cuts at a Degenerate Vertex in Disjoint Bilinear Programming
Xi CHEN, Kaiwen LI, Sidian LIN, and Xiaosong DING