Jing Lei

Orcid: 0000-0002-3976-2817

Affiliations:
  • North China Electric Power University, School of Energy, Power and Mechanical Engineering, Beijing, China
  • Chinese Academy of Sciences, School of engineering thermophysics from the Institute of Engineering Thermophysics, China (PhD 2008)
  • Fuzhou University, School of safety engineering and environment engineering, China (former)


According to our database1, Jing Lei authored at least 23 papers between 2011 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Fractional Optimization With the Learnable Prior for Electrical Capacitance Tomography.
IEEE Trans. Computational Imaging, 2024

Learnable bilevel optimization method for electrical capacitance tomography.
Signal Process., 2024

Multitasking optimization for the imaging problem in electrical capacitance tomography.
Expert Syst. Appl., 2024

Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography.
Eng. Appl. Artif. Intell., 2024

Data and measurement mechanism integrated imaging method for electrical capacitance tomography.
Appl. Soft Comput., 2024

2023
Difference of Convex Functions Programming With Machine-Learning Prior for the Imaging Problem in Electrical Capacitance Tomography.
IEEE Trans. Cybern., December, 2023

Transfer learning-driven inversion method for the imaging problem in electrical capacitance tomography.
Expert Syst. Appl., October, 2023

2022
Computational inverse imaging method by machine learning-informed physical model for electrical capacitance tomography.
J. Comput. Sci., 2022

Self-paced learning-assisted regularization reconstruction method with data-adaptive prior for electrical capacitance tomography.
Expert Syst. Appl., 2022

Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography.
Eng. Appl. Artif. Intell., 2022

Learned prior-guided algorithm for flow field visualization in electrical capacitance tomography.
Digit. Signal Process., 2022

2021
Distributed electrical capacitance tomography reconstruction with data and sparsity priors.
Signal Process., 2021

2020
Background image-assisted divide-and-conquer reconstruction method for ECT.
Eng. Appl. Artif. Intell., 2020

Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography.
Cogn. Comput., 2020

Reconstruction method with the learned regularizer for imaging problems in electrical capacitance tomography.
Appl. Soft Comput., 2020

2019
Three-operator splitting scheme with the reference image regularization for electrical capacitance tomography.
Neural Comput. Appl., 2019

Prior Image Induced Regularization Method for Electrical Capacitance Tomography.
IEEE Access, 2019

2018
Deep Learning-Based Inversion Method for Imaging Problems in Electrical Capacitance Tomography.
IEEE Trans. Instrum. Meas., 2018

Data-driven reconstruction method for electrical capacitance tomography.
Neurocomputing, 2018

2017
Three-dimensional temperature distribution reconstruction using the extreme learning machine.
IET Signal Process., 2017

2013
Dynamic Inversion Approach for Electrical Capacitance Tomography.
IEEE Trans. Instrum. Meas., 2013

An Image Reconstruction Algorithm for Electrical Capacitance Tomography Based on Robust Principle Component Analysis.
Sensors, 2013

2011
An Image Reconstruction Algorithm Based on the Regularized Minimax Estimation for Electrical Capacitance Tomography.
J. Math. Imaging Vis., 2011


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