助理教授
教育背景威斯康星大学麦迪逊分校博士
威斯康星大学麦迪逊分校硕士
南京大学学士
研究领域 离散优化，不确定性下的优化，优化在数据科学及物流供应链等问题上的应用个人网站 https://sites.google.com/view/rchen/home个人简介陈锐博士现为香港中文大学（深圳）助理教授。他于2021年在威斯康星大学麦迪逊分校取得工业工程博士学位（决策科学与运筹学方向）。在此之前，他于2017年在南京大学取得统计学学士学位，于2020年在威斯康星大学麦迪逊分校取得计算机科学硕士学位。他曾于2021年至2024年在康奈尔科技校区进行博士后研究，于2019年及2020年在IBM研究院进行科研实习。
陈博士的研究致力于发展优化的理论及计算工具（特别是针对带离散结构和随机性的优化问题）。这些研究在物流供应链，数据科学与人工智能等方向上有着广泛应用。其研究成果曾在Operations Research， Mathematical Programming等高水平期刊，以及IPCO，ICML等高水平会议上发表。
学术著作Journal papers
1. R. Chen, O. Günlük and A. Lodi, "Recovering Dantzig-Wolfe bounds by cutting planes", Operations Research (Articles in Advance), 2024+
2. R. Chen, S. Dash and O. Günlük, "Convexifying multilinear sets with cardinality constraints: structural properties, nested case and extensions", Discrete Optimization 50 100804, 2023
3. R. Chen and J. Luedtke, "Sparse multi-term disjunctive cuts for the epigraph of a function of binary variables", Mathematical Programming (Online First), 2023+
4. R. Chen, S. Dash and O. Günlük, "Multilinear sets with two monomials and cardinality constraints" Discrete Applied Mathematics 324 67-79, 2023
5. R. Chen and J. Luedtke, "On generating Lagrangian cuts for two-stage stochastic integer programs" INFORMS Journal on Computing 34(4) 2332-2349, 2022
6. R. Chen and J. Luedtke, "On sample average approximation for two-stage stochastic programs without relatively complete recourse", Mathematical Programming 196 719-754, 2022
Referred conference proceedings
1. B. van Rossum, R. Chen and A. Lodi, "A new branching rule for range minimization problems", International Conference on Integer Programming and Combinatorial Optimization (forthcoming), 2024
2. B. van Rossum, R. Chen and A. Lodi, "Optimizing fairness over time with homogeneous workers", Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, OASIcs 115 17:1-17:6, 2023
3. R. Chen and J. Luedtke, "Sparse multi-term disjunctive cuts for the epigraph of a function of binary variables", International Conference on Integer Programming and Combinatorial Optimization, LNCS 13265 98-111, 2022
4. R. Chen, S. Dash and T. Gao, "Integer programming for causal structure learning in the presence of latent variables", International Conference on Machine Learning, PMLR 139 1550-1560, 2021
5. R. Chen, S. Dash and O. Günlük, "Cardinality constrained multilinear sets", International Symposium on Combinatorial Optimization, LNCS 12176 54-65, 2020