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Jing Lei 0002
Person information
- affiliation: North China Electric Power University, School of Energy, Power and Mechanical Engineering, Beijing, China
- affiliation (PhD 2008): Chinese Academy of Sciences, School of engineering thermophysics from the Institute of Engineering Thermophysics, China
- affiliation (former): Fuzhou University, School of safety engineering and environment engineering, China
Other persons with the same name
- Jing Lei — disambiguation page
- Jing Lei 0001
— National University of Defense Technology, Department of Communications Engineering, Changsha, China (and 2 more)
- Jing Lei 0003
- Jing Lei 0004
- Jing Lei 0005 — Rutgers University, Wireless Information Network Laboratory, WINLAB, Department of Electrical and Computer Engineering, USA (and 1 more)
- Jing Lei 0006 — University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong (and 1 more)
- Jing Lei 0007
- Jing Lei 0008 — Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA (and 1 more)
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2020 – today
- 2024
- [j23]Jing Lei, Qibin Liu:
Data and measurement mechanism integrated imaging method for electrical capacitance tomography. Appl. Soft Comput. 155: 111436 (2024) - [j22]Jing Lei
Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography. Eng. Appl. Artif. Intell. 133: 108617 (2024) - [j21]Jing Lei, Qibin Liu:
Multitasking optimization for the imaging problem in electrical capacitance tomography. Expert Syst. Appl. 257: 125105 (2024) - [j20]Jing Lei
Learnable bilevel optimization method for electrical capacitance tomography. Signal Process. 219: 109406 (2024) - [j19]Jing Lei
Fractional Optimization With the Learnable Prior for Electrical Capacitance Tomography. IEEE Trans. Computational Imaging 10: 304-317 (2024) - 2023
- [j18]Jing Lei
Transfer learning-driven inversion method for the imaging problem in electrical capacitance tomography. Expert Syst. Appl. 227: 120277 (2023) - [j17]Jing Lei
Difference of Convex Functions Programming With Machine-Learning Prior for the Imaging Problem in Electrical Capacitance Tomography. IEEE Trans. Cybern. 53(12): 7535-7547 (2023) - 2022
- [j16]Jing Lei, Qibin Liu, Xueyao Wang:
Learned prior-guided algorithm for flow field visualization in electrical capacitance tomography. Digit. Signal Process. 128: 103605 (2022) - [j15]Jing Lei, Qibin Liu, Xueyao Wang:
Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography. Eng. Appl. Artif. Intell. 116: 105467 (2022) - [j14]Jing Lei, Qibin Liu:
Self-paced learning-assisted regularization reconstruction method with data-adaptive prior for electrical capacitance tomography. Expert Syst. Appl. 191: 116296 (2022) - [j13]Jing Lei
Computational inverse imaging method by machine learning-informed physical model for electrical capacitance tomography. J. Comput. Sci. 57: 101507 (2022) - 2021
- [j12]Jing Lei, Qibin Liu, Xueyao Wang, R. S. Yan:
Distributed electrical capacitance tomography reconstruction with data and sparsity priors. Signal Process. 181: 107922 (2021) - 2020
- [j11]Jing Lei, Qibin Liu:
Reconstruction method with the learned regularizer for imaging problems in electrical capacitance tomography. Appl. Soft Comput. 89: 106126 (2020) - [j10]Jing Lei
Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography. Cogn. Comput. 12(1): 206-223 (2020) - [j9]Jing Lei, Qibin Liu:
Background image-assisted divide-and-conquer reconstruction method for ECT. Eng. Appl. Artif. Intell. 95: 103906 (2020)
2010 – 2019
- 2019
- [j8]Pan Chu
Prior Image Induced Regularization Method for Electrical Capacitance Tomography. IEEE Access 7: 2490-2501 (2019) - [j7]Jing Lei
Three-operator splitting scheme with the reference image regularization for electrical capacitance tomography. Neural Comput. Appl. 31(9): 5079-5096 (2019) - 2018
- [j6]Jing Lei, Huaiping Mu, Qibin Liu, Xueyao Wang, Shi Liu:
Data-driven reconstruction method for electrical capacitance tomography. Neurocomputing 273: 333-345 (2018) - [j5]Jing Lei
Deep Learning-Based Inversion Method for Imaging Problems in Electrical Capacitance Tomography. IEEE Trans. Instrum. Meas. 67(9): 2107-2118 (2018) - 2017
- [j4]Jing Lei, Qibin Liu:
Three-dimensional temperature distribution reconstruction using the extreme learning machine. IET Signal Process. 11(4): 406-414 (2017) - 2013
- [j3]Jing Lei, Shi Liu, Xueyao Wang, Qibin Liu:
An Image Reconstruction Algorithm for Electrical Capacitance Tomography Based on Robust Principle Component Analysis. Sensors 13(2): 2076-2092 (2013) - [j2]Jing Lei, Shi Liu:
Dynamic Inversion Approach for Electrical Capacitance Tomography. IEEE Trans. Instrum. Meas. 62(11): 3035-3049 (2013) - 2011
- [j1]Jing Lei, Shi Liu:
An Image Reconstruction Algorithm Based on the Regularized Minimax Estimation for Electrical Capacitance Tomography. J. Math. Imaging Vis. 39(3): 269-291 (2011)
Coauthor Index
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