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个人简介

王玉亮教授获香港浸会大学数学学士学位,香港中文大学数学硕士学位,密歇根州立大学应用数学博士学位。王教授曾任普渡大学访问助理教授(2013-2015)和香港浸会大学研究助理教授(2015-2020)。2020年10月加入北京师范大学和北师港浸大,现任北京师范大学数学研究中心教授兼北师港浸大理工科技学院数学科学系教授。2021 年入选海外高层次青年人才计划。 王教授的主要研究领域为反问题,研究方向集中在波动方程相关反问题的数学建模、分析、算法和应用。近期集中研究超材料的数学理论和在反散射问题中的应用,提出了包含负折射率透镜的超分辨率成像算法。同时,他也在波动方程共振现象和机器学习等领域进行探索,目前感兴趣的课题是机器学习在偏微分方程正反问题中的应用。发表SCI论文二十余篇,曾主持多项香港研究资助局基金和国家自然科学基金项目。 Education Doctor of Philosophy, Applied Mathematics, Michigan State University, 2013 Master of Philosophy, Mathematics, The Chinese University of Hong Kong, 2006 Bachelor of Science, Mathematical Sciences, Hong Kong Baptist University, 2004 Astronomy, Nanjing University, transferred out to HKBU through Hong Kong Jockey Club Scholarship, 2001 Experience Professor, Beijing Normal University & BNU-HKBU United International College, 2022-present Associate Professor, Beijing Normal University & BNU-HKBU United International College, 2020­–2022 Research Assistant Professor, Hong Kong Baptist University, 2015–2020 Visiting Assistant Professor, Purdue University, 2013–2015 Teaching/Research Assistant, Michigan State University, 2006–2013

研究领域

反问题、机器学习

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Peijun Li and Yuliang Wang, Inverse scattering of periodic surfaces with a superlens, submitted, May 2023 (https://arxiv.org/abs/2305.03086) Peijun Li, Ying Liang and Yuliang Wang, A data-assisted two-stage method for the inverse random source problem, submitted, MAR 2023 (https://arxiv.org/abs/2303.16953) Zhen--Ping Yang, Jin Zhang, Yuliang Wang and Gui--Hua Lin. Variance--Based Subgradient Ex-tragradient Method for Stochastic Variational Inequality Problems. Journal of Scientific Com-puting, 89(4), AUG 2021. Zhen--Ping Yang, Yuliang Wang and Gui--Hua Lin. Variance--based modified backward--forward algorithm with line search for stochastic variational inequality problems and its applications. Asia--Pacific Journal of Operational Research, 37(3):2050011, JUN 2020. Eemeli Bl?sten, Hongjie Li, Hongyu Liu and Yuliang Wang. Localization and geometrization in plasmon resonances and geometric structures of Neumann--Poincare eigenfunctions. ESAIM: Mathematical Modelling and Numerical Analysis, 54(3):957–976, APR 2020. Hongyu Liu, Xiaodong Liu, Xianchao Wang, and Yuliang Wang. On a novel inverse scattering scheme using resonant modes with enhanced imaging resolution. Inverse Problems, 35(12), NOV 2019. Eemeli Bl?sten, Xiaofei Li, Hongyu Liu, and Yuliang Wang. On vanishing and localizing of transmission eigenfunctions near singular points: a numerical study. Inverse Problems, 33(10), SEP 2017. Xiaofei Li, Hyundae Lee, and Yuliang Wang. Asymptotic analysis of the narrow escape problem in dendritic spine shaped domain: three dimensions. Journal of Physics A--Mathematical and Theoretical, 50(32), AUG 2017. Xiaofei Li, Jingzhi Li, Hongyu Liu, and Yuliang Wang. Electromagnetic interior transmission eigenvalue problem for inhomogeneous media containing obstacles and its applications to near cloaking. IMA Journal of Applied Mathematics, 82(5):1013–1042, JUL 2017. Hongyu Liu, Yuliang Wang, and Shuhui Zhong. Nearly non-scattering electromagnetic wave set and its application. Zeitschrift Für Angewandte Mathematik und Physik, 68(2), APR 2017. Jingzhi Li, Hongyu Liu, and Yuliang Wang. Recovering an electromagnetic obstacle by a few phaseless backscattering measurements. Inverse Problems, 33(3), MAR 2017. Peijun Li, Yuliang Wang, Zewen Wang, and Yue Zhao. Inverse obstacle scattering for elastic waves. Inverse Problems, 32(11), NOV 2016. Peijun Li, Yuliang Wang, and Yue Zhao. Near--field imaging of biperiodic surfaces for elastic waves. Journal of Computational Physics, 324:1–23, NOV 2016. Gang Bao, Peijun Li, and Yuliang Wang. Near--field imaging with far--field data. Applied Math-ematics Letters, 60:36–42, OCT 2016. Hongyu Liu, Yuliang Wang, and Can Yang. Mathematical design of a novel gesture--based instruction/input device using wave detection. SIAM Journal on Imaging Sciences, 9(2):822– 841, JUN 2016. Peijun Li, Yuliang Wang, and Yue Zhao. Convergence analysis in near--field imaging for elastic waves. Applicable Analysis, 95(11):2339–2360, SEP 2015. Peijun Li and Yuliang Wang. Near--field imaging of small perturbed obstacles for elastic waves. Inverse Problems, 31(8), AUG 2015. Peijun Li and Yuliang Wang. Numerical solution of an inverse obstacle scattering problem with near-field data. Journal of Computational Physics, 290:157–168, JUN 2015. Peijun Li, Yuliang Wang, and Yue Zhao. Inverse elastic surface scattering with near--field data. Inverse Problems, 31(3), MAR 2015. Selected as an "Insights" article. Peijun Li and Yuliang Wang. Near--Field Imaging of Interior Cavities. Communications in Computational Physics, 17(2):542–563, FEB 2015. Peijun Li and Yuliang Wang. Near--field imaging of obstacles. Inverse Problems and Imaging, 9(1):189–210, FEB 2015. Ting Cheng, Peijun Li, and Yuliang Wang. Near- field imaging of perfectly conducting grating surfaces. Journal of the Optical Society of America A, 30(12):2473–2481, DEC 2013. Gang Bao and Yuliang Wang. Optimal design of antireflection coatings with different metrics. Journal of the Optical Society of America A, 30(4):656–662, APR 2013.

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