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刘自成

姓名 刘自成
性别
学校 西北工业大学
部门 电子信息学院
学位 工学博士学位
学历 博士研究生毕业
职称 正高
联系方式 实用新型1875包写包过
邮箱 zicheng.liu@nwpu.edu.cn
   
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综合介绍 General Introduction 个人相册

教育教学

教育教学 Education and teaching 招生信息 学生信息 教育信息 本科生毕设欢迎对科研感兴趣且大四期间有充足时间进行科研活动的同学联系,本人将亲自指导。目前,已完成毕设的学生1年内以第一作者发表顶级SCI期刊1篇且获得校优秀毕业论文荣誉。硕/博士生欢迎对人工智能、电磁超材料、天线设计、复杂环境电磁建模相关研究感兴趣的同学推免/报考硕士以及博士研究生,并请事先联系招生名额问题。 学生姓名 学号 学历 专业 《电路基础Ⅲ》主讲教师《电子信息技术中的数学问题》主讲教师

荣誉获奖

社会兼职 Social Appointments 中国生物医学工程学会委员;多个顶尖期刊审稿人

科学研究

科学研究 Scientific Research 面向电磁计算、电磁成像以及人工智能的基础研究以及在电磁环境建模、超材料天线以及人体电磁辐射剂量估计测量设备方面的军民应用。目前主持国自然青年一项,校级项目两项,参与面上项目一项。2021年入选国家级青年人才。

学术成果

学术成果 Academic Achievements 期刊论文J. Ma, Z. Liu*, and Y. Zong, Inverse scattering solver based on deep neural network with total-variation regularization, IEEE Antennas and Wireless Propagation Letters, doi: 10.1109/LAWP.2023.3290937, 2023.Z. Liu, M. Roy, D. K. Prasad, and K. Agarwal*, Physics-guided Loss Functions Improve Deep Learning Performance in Inverse Scattering, IEEE Transactions on Computational Imaging, 8:236-245, 2022.Z. Liu and K. Agarwal*, Silicon substrate significantly alters dipole-dipole resolution in coherent microscope, Optics Express, 28(26):39713-39726, Dec. 2020.Z. Liu*, D. Allal, M. Cox, and J. Wiart, Discrepancies of measured SAR between traditional and fast measuring systems, International Journal of Environmental Research and Public Health, 17(6), 2111, 2020.Z. Liu*, D. Lesselier, B. Sudret, and J. Wiart, Surrogate modeling based on random polynomial chaos expansion, Reliability Engineering & System Safety, 202:1070083, 2020. [Code]Z. Liu*, D. Lesselier, B. Sudret, and J. Wiart, Surrogate modeling of indoor down-link human exposure based on sparse polynomial chaos expansion, International Journal for Uncertainty Quantification, 10(2):145–163, 2020. [Code]Z. Liu*, C. Li, Y. Zhong, and D. Lesselier, Electromagnetic modeling of damaged fiber-reinforced laminates, Journal of Computational Physics, 409:109318, 2020.Z. Liu*, C. Li, D. Lesselier, and Y. Zhong, Fast full-wave analysis of damaged periodic fiber-reinforced laminates, IEEE Transactions on Antennas and Propagation, 66(7):3540 - 3547, 2018.Z. Liu*, D. Lesselier, and Y. Zhong, Electromagnetic imaging of damages in fibered layered laminates via equivalence theory, IEEE Transactions on Computational Imaging, 4(2):219-227, 2018.Z. Liu*, C. Li, D. Lesselier, and Y. Zhong, Electromagnetic modeling of damaged single-layer fiber-reinforced laminates, IEEE Transactions on Antennas and Propagation, 65(4):1855-1866, 2017.Z. Liu*, C. Li, D. Lesselier, and Y. Zhong, Electromagnetic modeling of periodically-structured fiber-reinforced single-layer laminate with multiple fibers missing, Applied Physics A: Materials Science and Processing, 122(12):993, 2016.F. Shen, G. Zhao*, Z. Liu, G. Shi and J. Lin, SAR imaging with structural sparse representation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(8):3902-3910, 2015.G. Zhao*, Z. Liu, J. Lin, G. Shi, and F. Shen, Wideband DOA estimation based on sparse representation in 2-D frequency domain, IEEE Sensors Journal, 15(1):227-233, 2015.会议论文Z. Liu, C. Li, D. Lesselier, and Y. Zhong, Electromagnetic retrieval of missing fibers in periodic fibered laminates via sparsity concepts, 24th European Signal Processing Conference, EUSIPCO, Budapest, Aug. 2016. Z. Liu, C. Li, D. Lesselier, and Y. Zhong, Electromagnetic near-field imaging of missing fibers in periodic fiber-reinforced laminates, Progress In Electromagnetics Research Symposium, PIERS, Shanghai, Aug. 2016. Z. Liu, C. Li, D. Lesselier, and Y. Zhong, Electromagnetic modeling of a periodic array of fibers embedded in a panel with single fiber missing, Electromagnetic Non-Destructive Evaluation (XIX), 2016. Z. Liu, D. Lesselier, B. Sudret, and J. Wiart, Statistical analysis of indoor human exposure based on resampled polynomial chaos expansion, 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP, Crete, Aug. 2019.Z. Liu and J. Wiart, Fast SAR estimation based on 3D field reconstructions and associated uncertainty quantifications, 2019 joint meeting of the Bioelectromagnetics Society (BEMS), BioEM2019, Montpellier, June 2019.Z. Liu, D. Lesselier, and J. Wiart, Statistical analysis of indoor human exposure by a WLAN source based on polynomial chaos expansions, 4th Workshop Uncertainty Modeling for Engineering Applications (UMEMA), Split , Dec. 2018.Z. Liu, D. Lesselier, and Y. Zhong, Electromagnetically locating damages in layered fiber-reinforced periodic laminates with a joint-sparsity-based method, 39th Progress In Electromagnetics Research Symposium, PIER, Singapore, Nov. 2017.Z. Liu, C. Li, D. Lesselier, and Y. Zhong, Computational modeling and imaging of damaged fibered laminates from low frequency to resonance, 22th International Workshop on Electromagnetic Non-Destructive Evaluation, ENDE, Saclay, Sept. 2017.Z. Liu, C. Li, D. Lesselier, and Y. Zhong, Electromagnetic modeling and imaging of damaged layered fiber-based laminates, 2017 International Applied Computational Electromagnetics Society (ACES) Symposium, Suzhou, Aug. 2017.Z. Liu, C. Li, D. Lesselier, and Y. Zhong, Electromagnetic non-destructive testing of damaged fibered-reinforced composite laminates, COFREND DAYS 2017, Strasbourg, May 2017.Z. Liu, C. Li, D. Lesselier, and Y. Zhong, Electromagnetic modeling and imaging of missing fibers in periodic fibered laminates, 2eme Edition des Doctoriales de la COFREND, Marne-la-Vallee, Nov. 2016.Z. Liu, C. Li, D. Lesselier, and Y. Zhong, From small-scale modeling to imaging of disorganized periodic structures, 21th International Workshop on Electromagnetic Non-Destructive Evaluation, ENDE, Lisbon, Sept. 2016.Z. Liu, C. Li, D. Lesselier, and Y. Zhong, Modeling of periodically-structured fiber-reinforced laminates with multiple fibers absent, 7th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META, Malaga, July 2016.Z. Liu, C. Li, D. Lesselier, and Y. Zhong, Nondestructive testing of fiber array with multiplemissing fibers, GDR ONDES, Lyon, Oct. 2015.Z. Liu, X. Wang, G. Zhao, G. Shi, J. Lin, and Z. Gao, Wideband DOA estimation based on sparse representation -- an extension of l1-SVD in wideband cases, IEEE International Conference on Signal Processing, Communication and Computing, ICSPCC, Kunming, Aug. 2013.Z. Liu, G. Zhao, X. Wang, and G. Shi, High resolution range profile with promoted sparsity and refined grid, IET International Radar Conference, Xi'an, Apr. 2013.

综合介绍

刘自成