Xi CHEN
Ph.D., Associate Professor
Xiaosong DING
Ph.D., Professor
Kaiwen LI
Hu LIU
Ruogu SUN
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 Programming (DBLP). For example, the neighborhood 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-dimensional 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.
[2024.03] Machine Learning: SVMs, assignment.
[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 University, 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.
[2024.04]
Robustness and Evolvement of the Global Energy Trade Networks
X. CHEN, R. SUN, K. LI, and X. DING, IEEE Transactions on Network Science and Engineering
[2024.06] The Generation of a Polar Cut at a Degenerate Vertex in Disjoint Bilinear Programming
X. CHEN, K. LI, S. LIN, X. LI, and X. DING, to be determined
[2023.11] Matter of Life and Death: Factors Influencing the Immediate Execution of Death Sentences Based on the Topic Modeling and Machine Learning
X. CHEN, R. SUN, L. WANG, and X. DING, Artificial Intelligence and Law
[2023.11] On the Generation of Test Problems for Disjoint Bilinear Programming
X. DING, J. MA, X. LI, and X. CHEN, Operations Research Letters, 2nd round
[2024.05] Measuring the robustness of international agricultural trade: A complex Network Approach
X. CHEN, K. LI, and X. DING, to be determined
[2023.12] Distributionally Robust Technician Routing and Scheduling with Employees' Learning under Decision-Dependent Uncertainty
K. Li, X. DING, and X. CHEN
[2023.12] Deep Reinforcement Learning in Multi-period Technician Scheduling with Experience-based Service Time and Stochastic Customers
X. DING, H. LIU, and X. CHEN