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工作经历2018/9-今 广西大学数学与信息科学学院，君武****，教授，博导2017/08-2018/9 广西大学数学与信息科学学院，教师2013/10-2017/03 比利时鲁汶大学，电子工程系，博士后学习经历2010/09–2013/06 南开大学, 数学科学学院计算数学专业, 理学博士2007/09–2010/06 南开大学, 数学科学学院计算数学专业, 理学硕士2003/09–2007/06 南开大学, 数学科学学院信息与计算科学专业, 理学学士
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中国运筹学会数学规划分会青年理事SIAM Journal on Matrix Analysis and Applications, Journal of Scientific Computing, Journal of Global Optimization, Journal of Optimization Theory and Applications, Optimization Methods and Software, CALCOLO, Linear Algebra and its Applications, Frontiers of Mathematics in China, IEEE Transactions on Pattern Analysis and Mechamesum Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, Mechanical Systems and Signal Processing, Multidimensional Systems and Signal Processing等期刊审稿人。
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2017秋季期高等数学2018秋季期数学分析（三）2019春季期最优化算法（研究生）2019秋季期数学分析（三）2020春季期数值代数每学期研究生张量/优化讨论班
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张量计算与优化方法及其在机器学习中的应用
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国家海外高层次人才青年项目霍英东教育基金会第十七届高等院校青年教师基金国家自然科学基金青年基金
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• Google学术主页: https://scholar.google.com/citations?user=Q_pqS_8AAAAJ• Github: https://github.com/yuningyang19• 在SIAM J. Optim., SIAM J. Matrix Anal. Appl., J. Mach. Learn. Res., IEEE Trans. Neural Netw. Learn. Syst., Comput. Optim. Appl., J. Optim. Theory Appl.等期刊发表20多篇SCI论文；专著一部。Google Scholar总引用877次，单篇最高引用308次。• 代表作(*：通讯作者)：1. Y. Yang, The Epsilon-Alternating Least Squares for Orthogonal Low-Rank Tensor Approximation and Its Global Convergence. SIAM J. Matrix Anal. Appl., 41:1797-1825 20202. Yuning Yang, Yunlong Feng, Xiaolin Huang, and Johan Suykens. Rank-1 tensor properties with applications to a class of tensor optimization problems. SIAM J. Optim., 26:171–196, 2016 3. Yuning Yang, Yunlong Feng, and Johan Suykens. Robust low-rank tensor recovery with regularized redescending M-estimator. IEEE Trans. Neural Netw. Learn. Syst., 27: 1933--1946, 2016 4. Yunlong Feng, Yuning Yang*, and Johan Suykens. Robust gradient learning with applications. IEEE Trans. Neural Netw. Learn. Syst., 27: 822–835, 2016 5. Yuning Yang and Qingzhi Yang. Further results for Perron-Frobenius theorem for nonnegative tensors. SIAM J. Matrix Anal. Appl., 31:2517–2530, 2010 6. Qingzhi Yang and Yuning Yang. Further results for Perron-Frobenius theorem for nonnegative tensors II. SIAM J. Matrix Anal. Appl., 32:1236–1250, 2011 • 其他论文（*：通讯作者）：7. C. Liang and Y. Yang*. A Note on Banach’s Results Concerning Homogeneous Polynomials Associated with Nonnegative Tensors. Optim. Lett., 2020, to appear8. X. Mao, G. Yuan, and Y. Yang*, A self-adaptive regularized alternating least squares method for tensor decomposition problems. Anal. Appl., 18:129-147, 20209. Q. Yang, Y. Zhou, and Y. Yang. An extension of Yuan's lemma to fourth-order tensor system. J. Optim. Theory Appl., 180:803-810, 201910. G. Yuan, Z. Wei, and Y. Yang. The global convergence of the Polak–Ribiere–Polyak conjugate gradient algorithm under inexact line search for nonconvex functions. J. Comput. Appl. Math., 362:262-275, 201911. Y. Yang, Y. Feng and J. A. K. Suykens, Correntropy based matrix completion. Entropy 20 (3):171, 201812. Y. Yang, Y. Feng, and J. Suykens. A rank-one tensor updating algorithm for tensor completion. IEEE Signal Process. Letters, 22:1633-1637, 201513. Y. Yang and S. Zhang. On linear convergence of the projected gradient method for a class of affine rank minimization problems. J. Ind. Manag. Optim., 12:1507-1519, 201614. Y. Feng, Y. Yang, X. Huang, S. Mehrkanoon, and J. Suykens. Robust support vector machines for classification with non-convex and smooth losses. Neural Comput., 28: 1217-1247, 201615. Y. Feng, X. Huang, L. Shi, Y. Yang, and J. Suykens. Learning with the maximum correntropy criterion induced losses for regression. J. Mach. Learn. Res., 16:993-1034, 201516. Y. Li, Q. Yang, and Y. Yang. A new definition of geometric multiplicity of eigenvalues of tensors and some results based on it. Front. Math. China, 10:1123-1146, 201517. Y. Yang, Q. Yang, and L. Qi. Approximation bounds for trilinear and biquadratic optimization problems over nonconvex constraints. J. Optim. Theory Appl., 163:841-858, 201418. Y. Yang, Q. Yang, and S. Zhang. Modified alternating direction methods for the modified multiple-sets split feasibility problems. J. Optim. Theory Appl., 163:130-147, 201419. Y. Yang, Q. Yang, and L. Qi. Properties and methods for finding the best rank-one approximation to higher-order tensors. Comput. Optim. Appl., 58:105-132, 201420. Z. Chen, L. Qi, Q. Yang, and Y. Yang. The solution methods for the largest eigenvalue (singular value) of nonnegative tensors and convergence analysis. Linear Algebra Appl., 439:3713-3733, 201321. Y. Yang and Q. Yang. Some modified relaxed alternating projection methods for solving the two-sets convex feasibility problem. Optim., 62:509-525, 201322. Y. Yang and Q. Yang. Geometric simplicity of spectral radius of nonnegative irreducible tensors. Front. Math. China, 8:129-140, 201323. Y. Yang and Q. Yang. On solving biquadratic optimization via semidefinite relaxation. Comput. Optim. Appl., 53:845-867, 201224. Y. Yang and Q. Yang. Singular values of nonnegative rectangular tensors. Front. Math. China, 6:363-378, 201125. Z. Wang, Q. Yang, and Y. Yang. The relaxed inexact projection methods for the split feasibility problem. Applied Math. Comput., 217:5347-5359, 2011• 预印本1. Y. Yang, J. A. K. Suykens, and L. De Lathauwer, Global Convergence of Alternating Least Squares under Weaker Conditions. major revision, 20192. Y. Yang, and G. Li, Efficiently maximizing a homogeneous polynomial over unit sphere without convex relaxation, 2019, https://arxiv.org/abs/1911.10921, 3. Y. Yang, and Y. Feng, Half-Quadratic Alternating Direction Method of Multipliers for Robust Orthogonal Tensor Approximation, 2020, https://arxiv.org/abs/2005.009984. X. Mao, and Y. Yang, Approximation Algorithms for Sparse Best Rank-1 Approximation to Higher-Order Tensors, 2020, https://arxiv.org/abs/2012.030925. Y. Yang, On Approximation Algorithm for Orthogonal Low-Rank Tensor Approximation, 2020, https://arxiv.org/abs/2012.14594
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Yuning Yang, and Qingzhi Yang, A Study on eigenvalues of higher-Order tensors and related polynomial optimization, 科学出版社, 北京, 2015
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