• 教师介绍

江波

个人简介

江波，美国明尼苏达大学博士，上海财经大学信息管理与工程学院常聘教授、副院长；前沿交叉书院院长；交叉科学研究院执行院长；国家级青年人才、上海市东方学者、上海市青年拔尖人才；上海市运筹学会副理事长、中国运筹学会算法软件与应用分会常务理事、中国运筹学会数学规划分会理事。从事运筹优化、收益管理、机器学习等方向的研究。成果发表于管理科学、运筹优化与机器学习等领域的国际顶级期刊《Management Science》、《OperationsResearch》、《Productions and Operations Management》、《Mathematics of Operations Research》、《Mathematical Programming》、《INFORMS Journal on Computing》、《SIAM Journal on Optimization》、《Journal of Machine Learning Research》。获得了中国运筹学会青年科技奖、上海市自然科学奖二等奖、宝钢优秀教师奖等荣誉。主持多项国家自然科学基金项目包括自科重大项目课题。为顺丰、京东等国内多个标杆企业提供仓库优化、智能定价、智能选址等技术服务。

教授课程

运筹学(高级)

优化理论与算法

管理学前沿与科学方法论

博弈论

科研项目

1.国家自然科学基金重大项目课题，基于人工智能的数学规划算法，2024-01至2028-12，在研，主持

2.国家自然科学基金面上项目，数据驱动的收益管理研究：运筹学理论与算法，2022-01至2025-12，在研，主持

3.国家自然科学原创探索计划项目，大规模优化算法的理论与应用，2021-01至2023-12，已结题，参与（排名2/10）

4.国家自然科学基金重点项目,大数据驱动的优化建模与高效算法，2019-01至2023-12，已结题，参与（排名4/10）

5.国家自然科学基金面上项目，非负共轭多项式：张量表达，最优化算法及应用，2018-01至2021-12，已结题，主持

6.国家自然科学基金青年项目, 低秩张量优化问题的模型、算法及应用，2015-01至2017-12，已结题，主持

教育背景

·  2011/03-2013/09, 美国明尼苏达大学（University of Minnesota）,工业与系统工程系，博士， 导师： 张树中 教授

·  2008/08-2011/02, 香港中文大学，系统工程与工业工程系，攻读博士课程， 导师： 张树中 教授

·  2005/09-2008/07, 复旦大学，管理科学系，硕士， 导师： 黄学祥 教授

·  2001/09-2005/07, 华东师范大学，数学系，学士

代表性论文（全部论文请见：https://sites.google.com/site/isyebojiang/publications）

已发表论文：

• B. Jiang, Z. Wang and N. Zhang, Revenue Management under a Price Alert Mechanism,Management Science, accepted, 2025. (preliminary version appears at WINE 2022.)

• B. Jiang, Z. Wang, C, Xue and N. Zhang, Assortment Optimization in the Presence of Focal Effect: Operational Insights and Efficient Algorithms,Production and OperationsManagement, published online, 2025. (preliminary version appears at WINE 2023.)

• R. Chen,B. Jiang, C. Ryan and N. Zhang, Assortment Optimization with α-Similar Substitutes: Insights from Customer Browsing Patterns,Management Science, accepted, 2025.

• C. He, Y. Jiang, C. Zhang, D. Ge,B. Jiangand Y. Ye, Homogeneous Second-Order Descent Framework: A Fast Alternative to Newton-Type Methods,Mathematical Programming,accepted, 2025.

• C. Zhang, C. He, Y. Jiang, C. Xue*,B. Jiang*, D. Ge and Y. Ye, A Homogeneous Second Order Descent Method for Nonconvex Optimization,Mathematics of Operations Research, accepted, 2025.

• Q. Deng, Q. Feng, W. Gao, D. Ge,B. Jiang*, Y. Jiang, J. Liu, T. Liu, C. Xue, Y. Ye and C. Zhang,An Enhanced ADMM-based Interior Point Method for Linear and ConicOptimization,INFORMS Journal on Computing,published online, 2024.

• J. Guan, S. He,B. Jiangand Z. Li, l_p sphere covering and approximating nuclear p-norm,Mathematics of Operations Research, published online, 2024.
  

• H. Hu,B. Jiangand Z. Li, Complexity and computation for the spectral norm and nuclear norm of order three tensors with one fixed dimension,SIAM Journal on Matrix Analysis and Applications,46(1), 210-231, 2025.
  

• C. He, S. Pan, X. Wang, andB. Jiang*, Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity,Proceedings of 41^stInternational Conference on Machine Learning (ICML), 2024.

• A. Desir*, V. Goyal,B. Jiang*, T. Xie and J. Zhang, Robust Assortment Optimization under the Markov Chain Choice Model,Operations Research,72(4), 1595–1614, 2024.

• S.He,H.Hu,B. Jiang, andZ.Li,Approximating tensor normsviasphere covering: Bridging the gap between primal and dual,SIAM Journal on Optimization,33(3),2026-2088, 2023.
  

• X. Chen*,B. Jiang*, T. Lin, and S. Zhang, Accelerating Adaptive Cubic Regularization ofNewton's Method via Random Sampling,Journal of Machine Learning Research,23(90),1-38, 2022.

• X. Chen, S. He, B. Jiang, C. Ryan and T. Zhang, The discrete moment problem with nonconvex shape constraints, Operations Research, 23 (3): 63-76, 2021.
  

• B. Jiang, H. Wang, and S. Zhang, An Optimal High-Order Tensor Method for Convex Optimization,Mathematics of Operations Research,46(4),1390–1412, 2021.
  

• B. Jiang, T. Lin, and S. Zhang, A Unified Adaptive Tensor Approximation Scheme to Accelerate Composite Convex Optimization, SIAM Journal on Optimization, 30(4), 2897-2926, 2020.

• B. Jiang, Z. Li, and S. Zhang, On Cones of Nonnegative Quartic Forms, Foundations of Computational Mathematics, 17(1), 161-197, 2017.
  

• B. Jiang, Z. Li, and S. Zhang, Characterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations, SIAM Journal on Matrix Analysis and Applications, 37(1), 381-408, 2016.
  

• B. Jiang, S. Ma, and S. Zhang, Tensor Principal Component Analysis via Convex Optimization, Mathematical Programming,150, 423-457, 2015.

• B. Jiang, S. He, Z. Li, and S.Zhang, Moments Tensors, Hilbert's Identity, and k-wise Uncorrelated Random Variables, Mathematics of Operations Research, 39(3), 775-788, 2014.

• S. He, B. Jiang, Z. Li, and S. Zhang, Probability Bounds for Polynomial Functions in Random Variables, Mathematics of Operations Research, 39(3), 889-907, 2014.

在修论文

• J. Guo, S. He,B. Jiangand Z. Wang, Solving Generalized Moment Problems: a Primal-Dual Approach within a General Framework,Mathematics of Operations Research, major revision, 2024.

• Z. Huang,B. Jiangand Y. Jiang, Inexact and Implementable Accelerated Newton Proximal Extragradient Method for Convex Optimization,Journal of Optimization Theory and Applications, major revision, 2024.

• C. He,B. Jiang,H. Wang and X. Zhu,On Approximation Algorithms for Commutative Quaternion Polynomial Optimization,Journal of Global Optimization,minor revision, 2025.







荣誉奖励

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上海财经大学学术新人奖；

中国运筹学会青年科技奖；

上海市青年拔尖人才;




上海市高校特聘教授（东方学者）;

上海市科学技术奖自然科学奖二等奖 (排名：2/2)；

宝钢优秀教师奖；




已毕业的博士生


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朱喜华（2022届博士，毕业去向：上海商学院助理教授）

张南茜（2023届博士，毕业去向：加拿大韦仕敦大学毅伟商学院(Ivey Business School)助理教授）

薛晨予（2025届博士，毕业去向：华东理工大学商学院助理教授）