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Zhengguang Liu
Zhengguang Liu
Verified email at csu.edu.cn
Title
Cited by
Cited by
Year
Deep learning audio magnetotellurics inversion using residual-based deep convolution neural network
Z Liu, H Chen, Z Ren, J Tang, Z Xu, Y Chen, X Liu
Journal of Applied Geophysics 188, 104309, 2021
342021
Seismic data denoising via double sparsity dictionary and fast iterative shrinkage-thresholding algorithm
L Zhang, L Han, J Fang, P Zhang, Z Liu
Chinese Journal of Geophysics 62 (7), 2671-2683, 2019
132019
A parallel adaptive finite-element approach for 3-D realistic controlled-source electromagnetic problems using hierarchical tetrahedral grids
Z Liu, Z Ren, H Yao, J Tang, X Lu, C Farquharson
Geophysical Journal International 232 (3), 1866-1885, 2023
72023
Seismic data denoising using double sparsity dictionary and alternating direction method of multipliers
L Zhang, L Han, A Chang, J Fang, P Zhang, Y Hu, Z Liu
Journal of Seismic Exploration 29 (1), 49-71, 2020
72020
压缩感知理论下基于快速不动点连续算法的地震数据重建
刘争光, 韩立国, 张良, 程时俊
石油物探 57 (1), 50-57, 2018
42018
One-dimensional magnetotelluric parallel inversion using a ResNet1D-8 residual neural network
W Ling, K Pan, Z Ren, W Xiao, D He, S Hu, Z Liu, J Tang
Computers & Geosciences 180, 105454, 2023
22023
Performance investigations of auxiliary‐space Maxwell solver preconditioned iterative algorithm for controlled‐source electromagnetic induction problems with electrical anisotropy
Z Liu, H Yao, F Wang
Geophysical Prospecting, 2024
2024
An Efficient Parallel Iterative Solver for Controlled-source Electromagnetic 3-D Adaptive Forward Modeling in General Anisotropic Media
Z Liu, Z Ren, H Yao, J Tang
Journal of Physics: Conference Series 2651 (1), 012014, 2023
2023
GPR denoising via shearlet transformation and a data‐driven tight frame
L Zhang, J Tang, Y Li, Z Liu, W Chen, G Li
Near Surface Geophysics 20 (4), 398-418, 2022
2022
3-D CSEM inversion for the complex model with topography using an efficient dual parallel approach
Z Liu, Z Ren, J Tang, H Chen
EGU General Assembly Conference Abstracts, EGU21-14002, 2021
2021
Inversion of 1D audio magnetotelluric data based on residual convolution neural network
Z Liu, Z Ren, J Tang, L Zhang
IOP Conference Series: Earth and Environmental Science 660 (1), 012104, 2021
2021
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