We stand with Ukraine  

Zicheng Liu

Orcid: 0000-0002-3118-9876

Affiliations:
  • UiT The Arctic University of Norway, Department of Physics and Technology, Tromsø, Norway
  • Télécom ParisTech, France (2018 - 2019)
  • University of Paris-Saclay, CNRS, Paris, France (2017 - 2018)
  • University of Paris-Sud, Gif-sur-Yvette, France (PhD 2017)
  • Xidian University, School of Electronic Engineering, Xi'an, China (2011 - 2014)


According to our database1, Zicheng Liu authored at least 14 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Fast Physics-Driven Untrained Network for Highly Nonlinear Inverse Scattering Problems.
[BibTeX]
[DOI]
Yutong Du
,
Zicheng Liu
,
Yi Huang
,
Bazargul Matkerim
,
Bo Qi
,
Yali Zong
,
Peixian Han
CoRR, February, 2026

Contrast-Source-Based Physics-Driven Neural Network for Inverse Scattering Problems.
[BibTeX]
[DOI]
Yutong Du
,
Zicheng Liu
CoRR, January, 2026

Optimal Configuration Design and Clutter Suppression Performance Analysis for Spaceborne Bistatic Surveillance Radar Systems.
[BibTeX]
[DOI]
Shuo Zhang
,
Shuangxi Zhang
,
Qinglei Du
,
Wei Chen
,
Weijian Liu
,
Tianhua Guo
,
Zicheng Liu
IEEE Trans. Aerosp. Electron. Syst., 2026

2025
Physics-Driven Neural Network for Solving Electromagnetic Inverse Scattering Problems.
[BibTeX]
[DOI]
Yutong Du
,
Zicheng Liu
,
Bazargul Matkerim
,
Changyou Li
,
Yali Zong
,
Bo Qi
,
Jingwei Kou
CoRR, July, 2025

Quality-factor inspired deep neural network solver for solving inverse scattering problems.
[BibTeX]
[DOI]
Yutong Du
,
Zicheng Liu
,
Miao Cao
,
Zupeng Liang
,
Yali Zong
,
Changyou Li
CoRR, April, 2025

Quality-Factor-Inspired Deep Neural Network Solver for Solving Inverse Scattering Problems.
[BibTeX]
[DOI]
Yutong Du
,
Zicheng Liu
,
Miao Cao
,
Zupeng Liang
,
Ya-Li Zong
,
Chang-You Li
IEEE Trans. Geosci. Remote. Sens., 2025

Computational Comparison and Validation of Point Spread Functions for Optical Microscopes.
[BibTeX]
[DOI]
Zicheng Liu
,
Yingying Qin
,
Jean-Claude Tinguely
,
Krishna Agarwal
IEEE Trans. Computational Imaging, 2025

2022
Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering.
[BibTeX]
[DOI]
Zicheng Liu
,
Mayank Roy
,
Dilip K. Prasad
,
Krishna Agarwal
IEEE Trans. Computational Imaging, 2022

2020
Surrogate modeling based on resampled polynomial chaos expansions.
[BibTeX]
[DOI]
Zicheng Liu
,
Dominique Lesselier
,
Bruno Sudret
,
Joe Wiart
Reliab. Eng. Syst. Saf., 2020

Electromagnetic modeling of damaged fiber-reinforced laminates.
[BibTeX]
[DOI]
Zicheng Liu
,
Chang-You Li
,
Yu Zhong
,
Dominique Lesselier
J. Comput. Phys., 2020

2018
Electromagnetic Imaging of Damages in Fibered Layered Laminates via Equivalence Theory.
[BibTeX]
[DOI]
Zicheng Liu
,
Dominique Lesselier
,
Yu Zhong
IEEE Trans. Computational Imaging, 2018

2016
Electromagnetic retrieval of missing fibers in periodic fibered laminates via sparsity concepts.
[BibTeX]
[DOI]
Zicheng Liu
,
Chang-You Li
,
Dominique Lesselier
,
Yu Zhong
Proceedings of the 24th European Signal Processing Conference, 2016

2015
SAR Imaging With Structural Sparse Representation.
[BibTeX]
[DOI]
Fangfang Shen
,
Guanghui Zhao
,
Zicheng Liu
,
Guangming Shi
,
Jie Lin
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

2013
High-resolution DOA estimation with Meridian prior.
[BibTeX]
[DOI]
Guanghui Zhao
,
Jie Lin
,
Fangfang Shen
,
Guangming Shi
,
Qingyu Hou
,
Zicheng Liu
EURASIP J. Adv. Signal Process., 2013


  Loading...