曾超，南开大学数学科学学院副教授。分别于 2010 年和 2016 年在中国科学技术大学大学获得学士和博士学位。曾在南开大学、香港浸会大学、香港大学从事博士后研究工作。2022 年加入南开大学数学科学学院。研究领域为数值代数、数值优化、数值逼近与计算几何。近年来在计算数学知名杂志比如 Numerische Mathematik，SIAM Journal on Numerical Analysis，SIAM Journal on Matrix Analysis and Applications，SIAM Journal on Imaging Sciences 等上发表多篇学术论文。 教育经历 2006.9 - 2010.7 中国科学技术大学，本科 2011.9 - 2016.6 中国科学技术大学，博士 工作经历 2022.2 - 南开大学数学科学学院，副教授 2021.7 - 2021.8 南开大学数学科学学院，访问学者 2019.9 - 2020.9 香港大学数学系，博士后 2018.9 - 2019.9 香港浸会大学数学系，博士后 2016.7 - 2018.6 南开大学数学科学学院，博士后

张量分析与计算 不适定问题（图像处理、矩阵计算、张量计算等等）的计算方法 多元样条与计算机辅助几何设计（Computer Aided Geometric Design）

Yuan Liu, Chunlin Wu, Chao Zeng, Non-Lipschitz variational models and their iteratively reweighted least squares algorithms for image denoising on surfaces, SIAM Journal on Imaging Sciences, 17 (2024), 1255-1283. Chao Zeng, On the tensor spectral p-norm and its higher order power method, Calcolo, 61, 38, (2024). Chao Zeng, Michael K. Ng, Tai-Xiang Jiang, Incremental algorithms for truncated higher-order singular value decompositions, BIT Numerical Mathematics, 64, 4, (2024). Chao Zeng, Further results on tensor nuclear norms, Calcolo, 60, 34, (2023). Chao Zeng, Proximal linearization methods for Schatten p-quasi-norm minimization, Numerische Mathematik, 153(1), 213-248 (2023). Chao Zeng, Rank properties and computational methods for orthogonal tensor decompositions, Journal of Scientific Computing, 94, 6 (2023). Chao Zeng, Michael K. Ng, Incremental CP tensor decomposition by alternating minimization method, SIAM Journal on Matrix Analysis and Applications, 42 (2021) 832-858. Chao Zeng, Tai-Xiang Jiang, Michael K. Ng, An approximation method of CP rank for third-order tensor completion, Numerische Mathematik, 147 (2021), 727-757. Zhuoheng He, Michael K. Ng, Chao Zeng, Generalized singular value decompositions for tensors and their applications, Numerical Mathematics: Theory, Methods and Applications, 14 (2021), 692-713. Chao Zeng, Michael K. Ng, Decompositions of third-order tensors: HOSVD, T-SVD, and beyond, Numerical Linear Algebra with Applications, 27 (2020), e2290. Chao Zeng, Chunlin Wu, On the discontinuity of images recovered by noncovex nonsmooth regularized isotropic models with box constraints, Advances in Computational Mathematics, 45 (2019), 589-610. Chao Zeng, Chunlin Wu, Rui Jia, Non-Lipschitz models for image restoration with impulse noise removal, SIAM Journal on Imaging Sciences, 12 (2019), 420-458. Chao Zeng, Rui Jia, Chunlin Wu, An iterative support shrinking algorithm for non-Lipschitz optimization in image restoration, Journal of Mathematical Imaging and Vision, 61 (2019), 122-139. Xue Feng, Chunlin Wu, Chao Zeng, On the local and global minimizers of ℓ 0 gradient regularized model with box constraints for image restoration, Inverse Problems, 34 (2018), 095007. Chao Zeng, Chunlin Wu, On the edge recovery property of noncovex nonsmooth regularization in image restoration, SIAM Journal on Numerical Analysis, 56 (2018), 1168-1182. Chao Zeng, Jiansong Deng, On the dimension of trivariate spline spaces with the highest order smoothness on 3D T-meshes, Advances in Computational Mathematics, 44 (2018), 423-451.