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

·  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

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

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

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

运筹与管理

B. Jiang, Z. Wang and N. Zhang, Revenue Management under a Price Alert Mechanism, Management Science, published online, 2026. 

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

B. Jiang, Z. Wang, C, Xue and N. Zhang, Assortment Optimization in the Presence of Focal Effect: Operational Insights and Efficient Algorithms, Production and Operations Management, 35(3), 1133–1150, 2026.

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 Alternating Direction Method of Multipliers-Based Interior Point Method for Linear and Conic Optimization, INFORMS Journal on Computing, 37(2), 338-359, 2025.

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.

X. Chen, S. He, B. Jiang, C. Ryan and T. Zhang, The discrete moment problem with nonconvex shape constraints, Operations Research, 69(1), 279-296, 2021.

       最优化理论与算法

C. He, W. Gao, B. Jiang, M. Udell and S. Zhang, New Results on the Polyak Stepsize: Tight ConvergenceAnalysisand Universal Function Classes, SIAM Journal on Optimization, accepted, 2026.

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, 51(2), 1253-1283, 2026.

C. He, Y. Jiang, C. Zhang, D. Ge, B. Jiang and Y. Ye, Homogeneous Second-Order Descent Framework: A Fast Alternative to Newton-Type Methods, Mathematical Programming, 215(1-2), 575-636, 2026.

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

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.

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.

高维数据（张量）分析与优化

J. Guan, B. Jiang, and Z. Li, On decomposability and subdifferential of the tensor nuclear norm, Mathematics of Computation, published online, 2026. 

J. Guan, S. He, B. Jiang and Z. Li, ℓ_p sphere covering and approximating nuclear p-norm, Mathematics of Operations Research, 50(4), 3094-3124, 2025.

H. Hu, B. Jiang* and Z. Li*, ON SPECTRAL AND NUCLEAR NORMS OF ORDER THREE TENSORS WITH ONE FIXED DIMENSION, SIAM Journal on Matrix Analysis and Applications, 46(1), 210-231, 2025.

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

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.

C. Zhang, C. He, B. Jiang and Y. Ye, The Second-Order Tâtonnement: Decentralized Interior-Point Methods for Market Equilibrium, Operations Research, major revision, 2026.

Y. Jiang, C. Zhang, B. Jiang and Y. Ye, Accelerating Trust-Region Methods: An Attempt to Balance Global and Local Efficiency, Mathematics of Operations Research, major revision, 2026.

J. Guo, B. Jiang, Z. Xiong, N. Zhang, Two Sides of “Hidden City Ticketing”: Analysis of Choice-Based Network Revenue Management Model, Manufacturing & Service Operations Management, reject and resubmit, 2026. 

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

C. He, J. Li, B. Jiang, S. Ma and S. Zhang, On Relatively Smooth Optimization over Riemannian Manifolds, Mathematics of Operations Research, major revision, 2025.

H. Wang, S. Pan, C, He*, J. Li, and B. Jiang*, Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach, IEEE Transactions on Automatic Control, major revision, 2025.

上海财经大学学术新人奖；

中国运筹学会青年科技奖；

上海市科学技术奖自然科学奖二等奖 (排名：2/2)；

宝钢优秀教师奖；

上海市哲社优秀成果论文类二等奖；

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）