一、基本信息

张敏 副教授(广州大学百人计划青年杰出人才)

研究领域:最优化理论、算法及其应用

办公地点:电子信息楼610

邮箱:zhangmin1206@gzhu.edu.cn


二、个人简介

主要从事最优化理论、方法及其应用相关的研究工作,擅长数学建模与算法设计。2019年获得中国科学院百人计划青年项目支持,致力于将先进的数学优化技术运用到气候变化、水资源管理等相关应用问题的研究中,在开展跨学科的交叉研究中积累了丰富的工作经验与成果,发表SCI论文20余篇,主持国家级、省部级基金项目4项。


三、教育背景

2006.09-2010.07 数学与应用数学专业 | 理学学士 天津大学

2008.03-2010.07 计算机科学与技术专业 | 工学学士(双学位) 天津大学

2010.09-2016.06 运筹学与控制论 | 理学硕士,理学博士(硕博连读) 天津大学

2015.02-2016.02 数学与统计专业 | 国家公派联合培养博士生 Curtin University,Australia


四、工作经历

2016.08-2019.05 研究助理(博士后) Curtin University,Australia

2019.01-2024.04 副研究员 中国科学院新疆生态与地理研究所

2021.07-2023.06 访问学者 香港理工大学

2024.05-至今 副教授 广州大学数学与信息科学学院


五、近年主持的科研项目

2019.01-2020.12 中国科学院百人计划启动专项, “树轮图像数字化分析与干旱区水资源优化分配”

2021.01-2023.12 中国科学院百人计划青年项目, “气候变化下干旱区水资源优化配置问题的研究”

2022.01-2024.12 国家自然科学基金青年基金项目, “随机决策的新型数学方法与应用”

2022.10-2025.10 第三次新疆综合科考项目子课题,“吐哈盆地未来气候-水情景下土地资源开发潜力评估”


六、代表论文(*标识通讯作者)

[1] J. Zhang, M. Zhang*, J. Yu, Y. Yu, R. Yu. An innovative method integrating run theory and DBSCAN for complete three-dimensional drought structures. Science of The Total Environment. 926: 171901 (2024)

[2] J. Zhang, M. Zhang*, J. Yu, Y. Yu, F. Jiang, R. Yu. Identifying and characterizing short-term drought with rapid onset based on SAPEI in the Yangtze River basin. Journal of Hydrology: Regional Studies. 51: 101629 (2024)

[3] J. Zhang, M. Zhang*, J. Yu, Y. Yu, R. Yu. Comparison of flash drought and traditional drought on characteristics and driving forces in Xinjiang. Remote Sensing. 15(19): 4758 (2023)

[4] Y. Lu, J. Sun, M. Zhang*, Y. Zhang. A stochastic variational inequality approach to the Nash equilibrium model of a manufacturer-supplier game under uncertainty. Pacific Journal of Optimization. 18(3): 635-660 (2022)

[5] J. Sun, M. Zhang*. The elicited progressive decoupling algorithm: A note on the rate of convergence and a preliminary numerical experiment on the choice of parameters. Set-Valued and Variational Analysis. 29: 997-1018 (2021)

[6] J. Sun, X. Yang, Q. Yao, M. Zhang*. Risk minimization, regret minimization and the progressive hedging algorithms. Mathematical Programming. 181: 509–530 (2020)

[7] M. Zhang*, K. Xi. A new interval two-stage stochastic programming with CVaR for water resources management. Water Resources Management. 34: 3795-3807 (2020)

[8] J. Sun, H. Xu, M. Zhang*. A new interpretation of the progressive hedging algorithm for multistage stochastic minimization problems. Journal of Industrial and Management Optimization. 16(4): 1655-1662 (2020)

[9] M. Zhang, L. Hou, J. Sun, A. Yan*. A model of multistage risk-averse stochastic optimization and its solution by scenario-based decomposition algorithms. Asia-Pacific Journal of Operational Research. 37(4): 2040004 (2020)

[10] Y. Feng, M. Zhang*. A p-spherical section property for matrix Schatten-p quasi-norm minimization. Journal of Industrial and Management Optimization. 16(1): 397-407 (2020)

[11] L. Tan*, L. Li, W. Liu, J. Sun, M. Zhang. A novel Euler’s elastica based segmentation approach for noisy images via using the progressive hedging algorithm. Journal of Mathematical Imaging and Vision. 62: 98-119 (2020)

[12] M. Zhang, J. Sun*, H. Xu. Two-stage quadratic games under uncertainty and their solution by progressive hedging algorithms. SIAM Journal on Optimization. 29(3): 1799-1818 (2019)

[13] B. Li, J. Sun, H. Xu, M. Zhang*. A class of two-stage distributionally robust games. Journal of Industrial and Management Optimization. 15(1): 387-400 (2019)

[14] B. Li, J. Sun, K. Teo, C. Yu, M. Zhang*. A distributionally robust approach to a class of three-stage stochastic linear programs. Pacific Journal of Optimization. 15(2): 219-236 (2019)

[15] M. Zhang, Z. Huang*, Y. Zhang. Restricted p-isometry properties of nonconvex matrix recovery. IEEE Transactions on Information Theory. 59(7): 4316-4323 (2013)

[16] M. Zhang, L. Yang, Z. Huang*. Minimum n-rank approximation via iterative hard thresholding. Applied Mathematics and Computation. 256: 860-875 (2015)

[17] M. Zhang, Z. Huang*. Conditions for the equivalence between the low-n-rank tensor recovery problem and its convex relaxation. Pacific Journal of Optimization. 11(2): 365-383 (2015)

[18] M. Zhang, Z. Huang*, Y. Li. The sparsest solution to the system of absolute value equations. Journal of the Operations Research Society of China. 3 (1): 31-51 (2015)

[19] Y. Li, Z. Huang*, M. Zhang. Entropy function-based algorithms for solving a class of nonconvex minimization problems. Journal of the Operations Research Society of China. 3(4): 441-458 (2015)

[20] 张敏, 黄正海*. 线性等式与不等式组稀疏解的唯一性条件. 中国科学:数学. 48(4): 547-564 (2018)