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Bo Jiang

Professor

Research Institute for Interdisciplinary Sciences

School of Information Management and Engineering

Shanghai University of Finance and Economics

Education:

Ph.D., Department of Industrial and Systems Engineering, University of Minnesota, MN, 2013
M.S., School of Management, Fudan University, China, 2008
B.S., Department of Mathematics, East China Normal University, China, 2005

Research Interests:

Methodologies: Operations Research; Multidimensional Data (Tensor) Analysis; Robust Optimization.
Applications: Pricing and Revenue Management; Machine Learning; Supply Chain Management; Signal Processing.
- More research details can be found at [Google Scholar Citation].

Selected Publications:

B. Jiang, Z. Wang, C. Xue and N. Zhang, "Assortment Optimization in the Presence of Focal Effect: Operations Insights and Efficient Algorithms"[PDF], Production and Operations Management, accepted, 2025.
R. Chen, B. Jiang, C. Ryan and N. Zhang, "Assortment Optimization with α-Similar Substitutes: Insights from Customer Browsing Patterns "[PDF], Management Science, accepted, 2025.
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"[PDF], Mathematical Programming Series A, 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"[PDF], Mathematics of Operations Research, accepted, 2025.
J. Guan, S. He, B. Jiang and Z. Li, "l_p sphere covering and approximating tensor nuclear p-norm"[PDF], Mathematics of Operations Research, published online, 2024.
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 Methods for Linear and Conic Optimization"[PDF], INFORMS Journal on Computing, 37(2), 338-359, 2025.（Previous title: “New Developments of ADMM-based Interior Point Methods for Linear Programming and Conic Programming”）
H. Hu, B. Jiang and Z. Li, "Complexity and computation for the spectral norm and nuclear norm of order three tensors with one fixed dimension"[PDF], SIAM Journal on Matrix Analysis and Applications, 46(1), 210-231, 2025.
C, He*, S. Pan, X. Wang, and B. Jiang*, "Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity"[PDF], Proceedings of 41st International Conference on Machine Learning, 2024.
A. Desir*, V. Goyal, B. Jiang*, T. Xie and J. Zhang, “Robust Assortment Optimization under the Markov Chain Choice Model"[PDF], Operations Research, 72(4), 1595–1614, 2024.
S. He, H. Hu, B. Jiang, and Z. Li, "Approximating tensor norms via sphere covering: Bridging the gap between primal and dual"[PDF], SIAM Journal on Optimization, 33(3), 2026-2088, 2023.
X. Chen, B. Jiang, T. Lin, and S. Zhang, “Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling”[PDF], 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”[PDF], Mathematics of Operations Research, 46(4), 1390–1412, 2021.
X. Chen, S. He, B. Jiang, C. Ryan and T. Zhang, “The Discrete Moment Problem with Nonconvex Shape Constraints” [PDF], Operations Research, 69(1), 279-296, 2021.
B. Jiang, T. Lin, and S. Zhang, “A Unified Adaptive Tensor Approximation Scheme to Accelerate Composite Convex Optimization” [PDF], SIAM Journal on Optimization, 30(4), 2897-2926, 2020.
B. Jiang, Z. Li, and S. Zhang, “On Cones of Nonnegative Quartic Forms” [PDF], 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” [PDF], 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” [PDF], Mathematical Programming Series A, 150, 423-457, 2015.
S. He, B. Jiang, Z. Li, and S. Zhang, “Probability Bounds for Polynomial Functions in Random Variables” [PDF], Mathematics of Operations Research, 39(3), 889-907, 2014.
B. Jiang, S. He, Z. Li, and S. Zhang, “Moments Tensors, Hilbert's Identity, and k-wise Uncorrelated Random Variables” [PDF], Mathematics of Operations Research, 39(3), 775-788, 2014.

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