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ORCIDZicheng Liu 0002
Person information
- affiliation: UiT The Arctic University of Norway, Department of Physics and Technology, Tromsø, Norway
- affiliation (2018 - 2019): Télécom ParisTech, France
- affiliation (2017 - 2018): University of Paris-Saclay, CNRS, Paris, France
- affiliation (PhD 2017): University of Paris-Sud, Gif-sur-Yvette, France
- affiliation (2011 - 2014): Xidian University, School of Electronic Engineering, Xi'an, China
Other persons with the same name
- Zicheng Liu — disambiguation page
- Zicheng Liu 0001
![[0000-0001-5894-7828]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5894-7828")
— Microsoft Research, Redmond, WA, USA (and 2 more) - Zicheng Liu 0003 — Wuhan University, Institute of Artificial Intelligence, State Key Lab of LIESMARS, Wuhan, China
- Zicheng Liu 0004 — Macau University of Science and Technology, Institute of Systems Engineering, Collaborative Laboratory for Intelligent Science and Systems, Taipa, Macau (and 1 more)
- Zicheng Liu 0005 — Nanjing University, State Key Lab for Novel Software Technology, Nanjing, China
- Zicheng Liu 0006 — Westlake University & Institute of Advanced Technology, AI Lab, Hangzhou, China
- Zicheng Liu 0007 — Huazhong University of Science and Technology, China-EU Institute for Clean and Renewable Energy, Wuhan, China (and 1 more)
- Zicheng Liu 0008 — Beihang University, School of Software, Beijing, China
- Zicheng Liu 0009 — Beijing Institute of Technology Chongqing Center for Microelectronics and Microsystems, China
- Zicheng Liu 0010 — Kunming University of Science and Technology, Faculty of Land Resource Engineering, China
- Zicheng Liu 0011 — Chinese University of Hong Kong, Department of Statistics, Hong Kong
- Zicheng Liu 0012 — Nankai University, College of Artificial Intelligence, Tianjin, China
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2020 – today
- 2022
[j6]Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal:
Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. IEEE Trans. Computational Imaging 8: 236-245 (2022)- 2021
- [i1]Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal:
Physics-guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. CoRR abs/2111.09109 (2021) - 2020
- [j5]Zicheng Liu, Chang-You Li, Yu Zhong, Dominique Lesselier:
Electromagnetic modeling of damaged fiber-reinforced laminates. J. Comput. Phys. 409: 109318 (2020) - [j4]Zicheng Liu, Dominique Lesselier, Bruno Sudret, Joe Wiart:
Surrogate modeling based on resampled polynomial chaos expansions. Reliab. Eng. Syst. Saf. 202: 107008 (2020)
2010 – 2019
- 2018
- [j3]Zicheng Liu, Dominique Lesselier, Yu Zhong:
Electromagnetic Imaging of Damages in Fibered Layered Laminates via Equivalence Theory. IEEE Trans. Computational Imaging 4(2): 219-227 (2018) - 2016
- [c1]Zicheng Liu, Chang-You Li, Dominique Lesselier, Yu Zhong:
Electromagnetic retrieval of missing fibers in periodic fibered laminates via sparsity concepts. EUSIPCO 2016: 345-349 - 2015
- [j2]Fangfang Shen, Guanghui Zhao, Zicheng Liu, Guangming Shi, Jie Lin:
SAR Imaging With Structural Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(8): 3902-3910 (2015) - 2013
- [j1]Guanghui Zhao, Jie Lin, Fangfang Shen, Guangming Shi, Qingyu Hou, Zicheng Liu:
High-resolution DOA estimation with Meridian prior. EURASIP J. Adv. Signal Process. 2013: 91 (2013)
Coauthor Index
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