朱　红-数学科学学院

姓　　名：	朱红
职务职称：	副教授、硕士生导师
研究方向：	非线性规划
研究生招生专业：	数学
联系电话：	0511-88780161
E-mail：	zhuhongmath@126.com
通信地址：	江苏省镇江市学府路301号江苏大学理学院(212013)

朱红，女，副教授，硕士生导师，博士。江苏省运筹学会理事，MR/MathSciNet评论员。主要研究方向：非线性规划。

● 2018/04－今，江苏大学数学科学学院应用数学系，副教授，硕士生导师.
● 2017/01－2018/03，江苏大学数学科学学院应用数学系，资格副教授，硕士生导师.
● 2013/09－2016/08，香港浸会大学，理学院，数学系.
● 2018/12－2019/12，加拿大西蒙弗雷泽大学，访问学者.

● 2022/12－2027/11，江苏省运筹学会理事.

● 运筹学（优化计算）（硕士）
● 运筹学、最优化计算方法、数值代数（本科）

● NSFC Grant, 2023/01 - 2026/12.
● NSFC Grant, 2018/01 - 2020/12.
● CSC, 2018/12 - 2019/12.
● SFC Grant of Jiangsu Province, 2017/07 - 2020/06.

● Newton-type Methods
Hong Zhu, An Inexact Proximal Newton Method for Nonconvex Composite Minimization, Journal of Scientific Computing, 2025, 102 (79).
Hong Zhu and Yunhai Xiao, A hybrid inexact regularized Newton and negative curvature method, Computational Optimization and Applications, 2024-05-12, 88(3), pp. 849--870.
● Dual Quaternion
Hong Zhu, Yuqing Shen, and Michael K. Ng, Multi-camera robot-world hand-eye calibration by solving multi-unit dual quaternion equations, CSIAM Transactions on Applied Mathematics, Accepted.
Hong Zhu and Michael K. Ng, The subspace constrained least squares solution of unit dual quaternion vector equations and its application to hand-eye calibration, Journal of Scientific Computing, 2025, 103 (49).
● Matrix Optimization and Applications
Zhihui, Tu, Jian Lu, Hong Zhu, Wenyu Hu, Qiangtang Jiang, and Michael K. Ng, Fully-connected tensor network decomposition and group sparsity for multitemporal images cloud removal, Inverse Problems and Imaging, 2025, 19(1), 59-86.
Hong Zhu, Chenchen Niu, and Yongjin Liang, Efficient Method for Symmetric Nonnegative Matrix Factorization with an approximate augmented Lagrangian scheme, Journal of Computational and Applied Mathematics, 2025, 454, 116218.
Hong Zhu and Michael K. Ng, An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors, SIAM Journal on Imaging Sciences, 2024, 17(3), pp. 1795--1819.
Hong Zhu, Xiaoxia Liu, Lin Huang, Zhaosong Lu, Jian Lu, and Michael K. Ng, Augmented Lagrangian method for tensor low-rank and sparsity models in multi-dimensional image recovery, Advances in Computational Mathematics, 2024, 50(4).
Zhihui Tu, Jian Lu, Hong Zhu, Huan Pan, Wenyu Hu, Qiangtang Jiang and Zhaosong Lu, A new nonconvex low-rank tensor approximation method with applications to hyperspectral images denoising, Inverse Problems, 2023, 39(6).
Hanrui Wu, Hong Zhu, Yuguang Yan, Jiaju Wua, Yifan Zhang and Michael Kwok-Po Ng, Heterogenous Domain Adaptation by Information Capturing and Distribution Matching, IEEE Transactions on Image Processing, 30, 6364 - 6376, 2021.
Ye Liu, Michael Kwok-Po Ng and Hong Zhu. Multiple graph semi-supervised clustering with automatic calculation of graph associations, Neurocomputing, 429, 33-46, 2021.
Hong Zhu and Michael Kwok-Po Ng. Structured Dictionary Learning for Image Denoising under Mixed Gaussian and Impulse Noise, IEEE Transactions on Image Processing, 29, 6680-6693, 2020.
Chuan Chen, Hui Qian, Wuhui Chen, Zibin Zheng, and Hong Zhu. Auto-weighted multi-view constrained spectral clustering, Neurocomputing, 366, 1-11, 2019.
Hong Zhu, Li-Zhi Liao, and Michael Kwok-Po Ng. Multi-instance dimensionality reduction via sparsity and orthogonality, Neural Computation, 30(12): 3281-3308, 2018.
Hong Zhu, Chuan Chen, Li-Zhi Liao, and Michael Kwok-Po Ng. Multiple Graphs Clustering by Gradient Flow Method, Journal of the Franklin Institute, 355(4): 1819-1845, 2017.
Hong Zhu, Xiaowei Zhang, Li-Zhi Liao, and Delin Chu. Nonconvex and Nonsmooth Optimization with Generalized Orthogonality Constraints: An Approximate Augmented Lagrangian Method, Journal of Scientific Computing, 72(1): 331-372, 2017.
● Inner Point Method
Xun Qian, Li-Zhi Liao, Jie Sun, and Hong Zhu, The convergent generalized central paths for linearly constrained convex programming, SIAM Journal on Optimization, 28(2): 1183-1204, 2018.
● Sparse Optimization
Shuhan Cao, Yunhai Xiao, and Hong Zhu, Linearized Alternating Directions Method for l1-norm Inequality Constrained l1-norm minimization, Applied Numerical Mathematics, 85: 142-153, 2014.
Hong Zhu, Yunhai Xiao, and Soon-Yi Wu. Large sparse signal recovery by conjugate gradient algorithm based on smoothing technique. Computers & Mathematics with Applications, 66(1): 24-32, 2013.
Yunhai Xiao, Hong Zhu, and Soon-Yi Wu. Primal and dual alternating direction algorithms for l1-l1-norm minimization problems in compressive sensing. Computational Optimization and Applications, 54(2): 441-459, 2013.
Yunhai Xiao, and Hong Zhu, A conjugate gradient method to solve convex constrained monotone equations with applications in compressive sensing. Journal of Mathematical Analysis and Applications, 405(1): 310-319, 2013.