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 Operations Management, 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. Jiang and 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 Conic Optimization, INFORMS Journal on Computing, published online, 2024.
J. Guan, S. He, B. Jiang and Z. Li, l_p sphere covering and approximating
nuclear p-norm, Mathematics of Operations Research, published online, 2024.
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, 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, Proceedings of 41st International 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, 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.
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.
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. Jiang and Z. Wang, Solving Generalized Moment Problems: a
Primal-Dual Approach within a General Framework, Mathematics of
Operations Research, major revision, 2024.
Z. Huang, B. Jiang and 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.
