Homepage | Rui Chen（陈锐）
Assistant Professor
School of Data Science
The Chinese University of Hong Kong, Shenzhen
📧 rchen [at] cuhk [dot] edu [dot] cn
📍 Dao Yuan Building, Room 321b
Research Interests:
Discrete Optimization
Optimization Under Uncertainty
Applications of Optimization
Bio
Education
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Ph.D., Industrial Engineering
University of Wisconsin-Madison, 2021 -
M.S., Computer Sciences
University of Wisconsin-Madison, 2020 -
B.S., Statistics
Nanjing University, 2017
Professional Experience
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Assistant Professor
School of Data Science, CUHK-Shenzhen, 2024–present -
Postdoc
Cornell Tech, Cornell University, 2021–2024 -
Research Intern
IBM Research, 2019 & 2020
🔍 Research
Journal Papers
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R. Chen, D. Liu, N. Jiang, R. Gupta, M. Kilinc, A. Lodi, “Learning large neighborhood search for maritime inventory routing optimization”, International Transactions in Operational Research (accepted), 2026+ [arXiv]
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B. van Rossum, R. Chen, A. Lodi, “Efficient branching rules for optimizing range and order-based objective functions”, Mathematical Programming (Online First), 2025+ [view-only] [arXiv]
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R. Chen, H. Zhu, “The complexity of recognizing facets for the knapsack polytope”, Mathematics of Operations Research (Ahead of Print), 2025+ [arXiv]
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R. Chen, O. Günlük, A. Lodi, “Recovering Dantzig-Wolfe bounds by cutting planes”, Operations Research 73(2) 1128-1142, 2025 [arXiv] [code] [supplement]
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R. Chen, J. Luedtke, “Sparse multi-term disjunctive cuts for the epigraph of a function of binary variables”, Mathematical Programming 206 357-388, 2024 [view-only] [arXiv] [code]
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R. Chen, S. Dash, O. Günlük, “Convexifying multilinear sets with cardinality constraints: Structural properties, nested case and extensions”, Discrete Optimization 50 100804, 2023 [arXiv]
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R. Chen, S. Dash, O. Günlük, “Multilinear sets with two monomials and cardinality constraints”, Discrete Applied Mathematics 324 67-79, 2023 [arXiv]
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R. Chen, J. Luedtke, “On generating Lagrangian cuts for two-stage stochastic integer programs”, INFORMS Journal on Computing 34(4) 2332-2349, 2022 [arXiv] [code] [supplement]
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R. Chen, J. Luedtke, “On sample average approximation for two-stage stochastic programs without relatively complete recourse”, Mathematical Programming 196 719-754, 2022 [view-only] [arXiv]
Referred Conference Proceedings
- Y. Yang, R. Chen, “Inexact column generation for Bayesian network structure learning via difference-of-submodular optimization”, Conference on Neural Information Processing Systems (NeurIPS, accepted), 2025 [arXiv]
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B. van Rossum, R. Chen, A. Lodi, “A new branching rule for range minimization problems”, International Conference on Integer Programming and Combinatorial Optimization (IPCO), LNCS 14679 433-445, 2024
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B. van Rossum, R. Chen, A. Lodi, “Optimizing fairness over time with homogeneous workers”, Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS, short paper), OASIcs 115 17:1-17:6, 2023
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R. Chen, J. Luedtke, “Sparse multi-term disjunctive cuts for the epigraph of a function of binary variables”, International Conference on Integer Programming and Combinatorial Optimization (IPCO), LNCS 13265 98-111, 2022
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R. Chen, S. Dash, T. Gao, “Integer programming for causal structure learning in the presence of latent variables”, International Conference on Machine Learning (ICML, oral), PMLR 139 1550-1560, 2021 [code]
- R. Chen, S. Dash, O. Günlük, “Cardinality constrained multilinear sets”, International Symposium on Combinatorial Optimization (ISCO), LNCS 12176 54-65, 2020
Preprints
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G. Du, R. Chen, L. Wei, “On the convexification of a class of mixed-integer conic sets” [arXiv] [OO]
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R. Messana, R. Chen, A. Lodi, “Actively learning combinatorial optimization using a membership oracle” [arXiv]
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R. Chen, O. Günlük, A. Lodi, G. Wang, “Online decision making with nonconvex local and convex global constraints” [arXiv]
Other Publications
- R. Chen, “Valid inequalities and integer programming formulations for stochastic integer programming and some machine learning problems”, Ph.D. Dissertation
Research Group
Current PhD Students
- Qingwei Zhang (张庆伟, DS@CUHK-Shenzhen since 2025)
- Guxin Du (杜汩鑫, DS@CUHK-Shenzhen since 2024)
- Yiran Yang (杨忆然, DS@CUHK-Shenzhen since 2023)
Research Projects
- “Decomposition Algorithms for Data-Driven Optimization”, National Natural Science Foundation of China, Principal Investigator, 2026-2028
- “A Class of Contextual Stochastic Optimization Methods with Applications to Management Science”, National Natural Science Foundation of China, Principal Investigator, 2026-2028
🎓 Teaching
- MAT3007 Optimization at CUHK-Shenzhen, Spring 2026
- DDA6112 Stochastic Optimization at CUHK-Shenzhen, Fall 2025
- MAT3007 Optimization at CUHK-Shenzhen, Fall 2024