教授

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张晔

个人简介



Personal Information

12.jpgName: Ye Zhang (张晔)

Born: Zhejiang, China

Email: ye.zhang@smbu.edu.cn & ye.zhang@bit.edu.cn

Institute: School of Mathematics and Statistics, BIT, 100081, P.R. China

Address: No.5 Zhongguancun South Street, Haidian District, Beijing, P.R. China


Educational Background

► PhD in Mathematical Physics (01.01.03), Lomonosov Moscow State University, 2014;

► MS in Physics, Lomonosov Moscow State University, 2011;

► BS in Information and Computing Science, Zhejiang University, 2007.


Working Experience

► Aug. 2020 – present, Professor, School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, and Faculty of Computational Mathematics and Cybernetics, Shenzhen MSU-BIT University.

► Sep. 2019 – Jul. 2020, Associate Professor, School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, and Faculty of Computational Mathematics and Cybernetics, Shenzhen MSU-BIT University.

► Feb. 2018 – Sep. 2019, Humboldt Fellowship, Faculty of Mathematics, Chemnitz University of Technology, Germany.

► Dec. 2017 – Sep.2019, Researcher, Unit of Mathematics, School of Science and Technology, Orebro University, Sweden.

► Jul. 2016 – Nov. 2017, Project Assistant, Department of Chemistry and Biomedical Sciences, Karlstad University, Sweden.

► May 2014 – Jun. 2016, Postdoctoral Fellowship, Unit of Mathematics, School of Science and Technology, Orebro University, Sweden.


Publications

[28] C. Xu, Y. Zhang*. Estimating the memory parameter for potentially non-linear and non-Gaussian time series with wavelets. Inverse Problems, 2022, published online, DOI: 10.1088/1361-6420/ac48ca.

[27] C. Xu, Y. Zhang*. Estimating adsorption isotherm parameters in chromatography via a virtual injection promoting double feed-forward neural network. Journal of Inverse and Ill-Posed Problems, 2022, published online, DOI: 10.1515/jiip-2020-0121.

[26] G. Dong, M. Hintermuller M, Y. Zhang. A class of second-order geometric quasilinear hyperbolic PDEs and their application in imaging. SIAM Journal on Imaging Sciences, 2021, 14, 645-688.

[25] Zhang Y, Hofmann B. Two new non-negativity preserving iterative regularization methods for ill-posed inverse problems. Inverse Problems and Imaging, 2021, 15, 229-256.

[24] Zhang Y, Gong R. Second order asymptotical regularization methods for inverse problems in partial differential equations. Journal of Computational and Applied Mathematics, 2020, 375.

[23] Gong R, Hofmann B, Zhang Y*. A new class of accelerated regularization methods, with application to bioluminescence tomography. Inverse Problems, 2020, 36, 055013.

[22] Baravdish G, Svensson O, Gulliksson M, Zhang Y*. Damped second order flow applied to image denoising. IMA Journal of Applied Mathematics, 2019, 84, 10821111.

[21] Zhang Y, Yao Z, Forssen P, Fornstedt T. Estimating the rate constant from biosensor data via an adaptive variational Bayesian approach. Annals of Applied Statistics, 2019, 13, 2011-2042.

[20] Zhang Y, Hofmann B, On fractional asymptotical regularization of linear ill-posed problems in Hilbert spaces. Fractional Calculus and Applied Analysis, 2019, 22, 699-721.

[19] Zhang Y*, Hofmann B, On the second-order asymptotical regularization of linear ill-posed inverse problems. Applicable Analysis, 2020, 99, 10001025. (高被引论文,该杂志2011年以来最受欢迎文章之一,排名第二) https://www.tandfonline.com/doi/full/10.1080/00036811.2018.1517412

[18] Zhang Y*, Gong R, Gulliksson M, Cheng X. A coupled complex boundary expanding compacts method for inverse source problems. Journal of Inverse and Ill-Posed Problems, 2018, 27, 67-86.

[17] Zhang Y*, Gong R, Cheng X, Gulliksson M. A dynamical regularization algorithm for solving inverse source problems of elliptic partial differential equations. Inverse Problems, 2018, 34, 065001.

[16] Lin G, Cheng X, Zhang Y*. A parametric level set based collage method for an inverse problem in elliptic partial differential equations. Journal of Computational and Applied Mathematics, 2018, 340, 101-121.

[15] Zhang Y*, Forssen P, Fornstedt T, Gulliksson M, Dai X. An adaptive regularization algorithm for recovering the rate constant distribution from biosensor data. Inverse Problems in Science and Engineering, 2018, 26, 1464-1489.

[14] Dai X, Zhang C, Zhang Y, Gulliksson M. Topology optimization of steady Navier-Stokes flow via a piecewise constant level set method. Structural and Multidisciplinary Optimization. 2018, 57, 2193-2203.

[13] Yao Z, Zhang Y, Bai Z, Eddy W. Estimating the number of sources in magnetoencephalography using spiked population eigenvalues. Journal of the American Statistical Association, 2018, 113, 505-518.

[12] Cheng X, Lin G, Zhang Y, Gong R, Gulliksson M. A modified coupled complex boundary method for an inverse chromatography problem. Journal of Inverse and Ill-Posed Problems, 2018, 26, 33-49.

[11] Lin G, Zhang Y*, Cheng X, Gulliksson M, Forssen P, Fornstedt T. A regularizing Kohn-Vogelius formulation for the model-free adsorption isotherm estimation problem in chromatography. Applicable Analysis, 2018, 97, 13-40.

[10] Zhang Y*, Lin G, Gulliksson M, Forssen P, Fornstedt T, Cheng X. An adjoint method in inverse problems of chromatography. Inverse Problems in Science and Engineering, 2017, 25(8), 1112-1137.

[9] Zhang Y*, Lin G, Forssen P, Gulliksson M, Fornstedt T, Cheng X. A regularization method for the reconstruction of adsorption isotherms in liquid chromatography. Inverse Problems, 2016, 32(10), 105005.

[8] Gulliksson M, Holmbom A, Persson J, Zhang Y*. A separating oscillation method of recovering the G-limit in standard and non-standard homogenization problems. Inverse Problems, 2016, 32(2), 025005.

[7] Zhang Y*, Gulliksson M, Hernandez Bennetts V, Schaffernicht E. Reconstructing gas distribution maps via an adaptive sparse regularization algorithm. Inverse Problems in Science and Engineering, 2016, 24(7), 1186-1204.

[6] Zhang Y*, Lukyanenko D, Yagola A. Using Lagrange principle for solving two-dimensional integral equation with a positive kernel. Inverse Problems in Science and Engineering. 2016, 24(5), 811-831.

[5] Zhang Y*, Lukyanenko D, Yagola A. An optimal regularization method for convolution equations on the sourcewise represented set. Journal of Inverse and Ill-Posed Problems. 2016, 23(5), 465-475.

[4] Chen T, Gatchell M, Stockett M, Alexander J, Zhang Y, et al. Absolute fragmentation cross sections in atom-molecule collisions: scaling laws for non-statistical fragmentation of polycyclic aromatic hydrocarbon molecules. The Journal of Chemical Physics. 2014, 140(22) , 224-306.

[3] Zhang Y, Lukyanenko D, Yagola A. Using Lagrange principle for solving linear ill-posed problems with a priori information. Numerical Methods and Programming. 2013, 14, 468-482. (in Russian)

[2] Wang Y, Zhang Y*, Lukyanenko D, Yagola A. Recovering aerosol particle size distribution function on the set of bounded piecewise-convex functions. Inverse Problems in Science and Engineering, 2013, 21, 339-354.

[1] Wang Y, Zhang Y*, Lukyanenko D, Yagola A. A method of restoring the restoring aerosol particle size distribution function on the set of piecewise-convex functions. Numerical Methods and Programming, 2012, 13, 49-66. (in Russian)


Awards, Honors and Recognitions

► Kovalevskaya grant for International Congress of Mathematicians 2022.

► High-level Overseas Talents: Youth Project, (National level, Central Organization Department), 2020.

Excellent Instructor for Competition of Mathematical Modeling, Guangdong Province, 2020.

► Humboldt Research Fellowship for Postdoctoral Researchers, 2017.

► Chinese Government Award for Outstanding Self-Financed Students Abroad, 2012.


Students

Postdocs: Dmitrii Chaikovskii, Hai-e Long.

Doctoral Students: Qin Huang, Yin-ao Wang.

Master Students: Yong-yi Qian.


Fundings

01/2022--12/2025, National Natural Science Foundation of China (NSFC) (Grant No. 12171036), Principal Investigator, (面上项目, 510,000 CNY)

08/2021--08/2025, Beijing Natural Science Foundation (Key project, No. Z210001), Principal Investigator, (重点项目, 3 million CNY)

01/2021--12/2022, Shenzhen Science and technology innovation Commission (Grant No. 20200827173701001), Principal Investigator, (稳定支持项目, 500,000 CNY)

01/2020--12/2022, Guangdong Basic and Applied Basic Research Foundation (Grant No. 2019A1515110971), Principal Investigator, (面上项目, 100,000 CNY)


Interests

Inverse and Ill-Posed Problems. Regularization. Numerical Analysis. Statistical Inverse Problems. Mathematical modeling. Data analysis.