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2020 – today
- 2024
[j20]Jing Lei, Qibin Liu:
Data and measurement mechanism integrated imaging method for electrical capacitance tomography. Appl. Soft Comput. 155: 111436 (2024)- [j19]Jing Lei
, Qibin Liu, Xueyao Wang:
Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography. Eng. Appl. Artif. Intell. 133: 108617 (2024) - [j18]Jing Lei, Qibin Liu:
Multitasking optimization for the imaging problem in electrical capacitance tomography. Expert Syst. Appl. 257: 125105 (2024) - [j17]Jing Lei, Qibin Liu:
Learnable bilevel optimization method for electrical capacitance tomography. Signal Process. 219: 109406 (2024) - [j16]Jing Lei, Qibin Liu:
Fractional Optimization With the Learnable Prior for Electrical Capacitance Tomography. IEEE Trans. Computational Imaging 10: 304-317 (2024) - [i2]Qibin Liu, Chase Shimmin, Xiulong Liu, Eli Shlizerman, Shu Li, Shih-Chieh Hsu:
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation. CoRR abs/2405.06605 (2024) - [i1]Pinxue Zhao, Hailin Zhang, Fangcheng Fu, Xiaonan Nie, Qibin Liu, Fang Yang, Yuanbo Peng, Dian Jiao, Shuaipeng Li, Jinbao Xue, Yangyu Tao, Bin Cui:
Efficiently Training 7B LLM with 1 Million Sequence Length on 8 GPUs. CoRR abs/2407.12117 (2024) - 2023
- [j15]Jing Lei, Qibin Liu:
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
- [j14]Jing Lei, Qibin Liu, Xueyao Wang:
Learned prior-guided algorithm for flow field visualization in electrical capacitance tomography. Digit. Signal Process. 128: 103605 (2022) - [j13]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) - [j12]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) - [j11]Jing Lei, Qibin Liu, Xueyao Wang:
Computational inverse imaging method by machine learning-informed physical model for electrical capacitance tomography. J. Comput. Sci. 57: 101507 (2022) - 2021
- [j10]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
- [j9]Jing Lei, Qibin Liu:
Reconstruction method with the learned regularizer for imaging problems in electrical capacitance tomography. Appl. Soft Comput. 89: 106126 (2020) - [j8]Jing Lei, Qibin Liu, Xueyao Wang:
Computational Imaging Method with a Learned Plug-and-Play Prior for Electrical Capacitance Tomography. Cogn. Comput. 12(1): 206-223 (2020) - [j7]Jing Lei, Qibin Liu:
Background image-assisted divide-and-conquer reconstruction method for ECT. Eng. Appl. Artif. Intell. 95: 103906 (2020)
2010 – 2019
- 2019
- [j6]Pan Chu, Jing Lei, Qibin Liu:
Prior Image Induced Regularization Method for Electrical Capacitance Tomography. IEEE Access 7: 2490-2501 (2019) - [j5]Jing Lei, Qibin Liu, Xueyao Wang:
Three-operator splitting scheme with the reference image regularization for electrical capacitance tomography. Neural Comput. Appl. 31(9): 5079-5096 (2019) - 2018
- [j4]Jing Lei, Huaiping Mu, Qibin Liu, Xueyao Wang, Shi Liu:
Data-driven reconstruction method for electrical capacitance tomography. Neurocomputing 273: 333-345 (2018) - [j3]Jing Lei, Qibin Liu, Xueyao Wang:
Deep Learning-Based Inversion Method for Imaging Problems in Electrical Capacitance Tomography. IEEE Trans. Instrum. Meas. 67(9): 2107-2118 (2018) - 2017
- [j2]Jing Lei, Qibin Liu:
Three-dimensional temperature distribution reconstruction using the extreme learning machine. IET Signal Process. 11(4): 406-414 (2017) - 2013
- [j1]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)
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