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Xuqing Wu
Xuqing Wu
Verified email at uh.edu - Homepage
Title
Cited by
Cited by
Year
A Maxwell's equations based deep learning method for time domain electromagnetic simulations
P Zhang, Y Hu, Y Jin, S Deng, X Wu, J Chen
IEEE Journal on Multiscale and Multiphysics Computational Techniques 6, 35-40, 2021
672021
To track or to detect? an ensemble framework for optimal selection
X Yan, X Wu, IA Kakadiaris, SK Shah
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
652012
Progressive transfer learning for low-frequency data prediction in full-waveform inversion
W Hu, Y Jin, X Wu, J Chen
Geophysics 86 (4), R369-R382, 2021
562021
A supervised descent learning technique for solving directional electromagnetic logging-while-drilling inverse problems
Y Hu, R Guo, Y Jin, X Wu, M Li, A Abubakar, J Chen
IEEE Transactions on Geoscience and Remote Sensing 58 (11), 8013-8025, 2020
512020
Access Control in Internet of Things: A Survey
Y Zhang, X Wu
arXiv preprint arXiv:1610.01065, 2016
502016
Learn low wavenumber information in FWI via deep inception based convolutional networks
Y Jin, W Hu, X Wu, J Chen
SEG International Exposition and Annual Meeting, SEG-2018-2997901, 2018
442018
First-break automatic picking with deep semisupervised learning neural network
KC Tsai, W Hu, X Wu, J Chen, Z Han
SEG Technical Program Expanded Abstracts 2018, 2181-2185, 2018
432018
A robust first-arrival picking workflow using convolutional and recurrent neural networks
P Yuan, S Wang, W Hu, X Wu, J Chen, H Van Nguyen
Geophysics 85 (5), U109-U119, 2020
412020
Seismic data denoising by deep-residual networks
Y Jin, X Wu, J Chen, Z Han, W Hu
SEG Technical Program Expanded Abstracts 2018, 4593-4597, 2018
412018
A physics-driven deep-learning network for solving nonlinear inverse problems
Y Jin, Q Shen, X Wu, J Chen, Y Huang
Petrophysics 61 (01), 86-98, 2020
402020
Parallel multiple-chain DRAM MCMC for large-scale geosteering inversion and uncertainty quantification
H Lu, Q Shen, J Chen, X Wu, X Fu
Journal of Petroleum Science and Engineering 174, 189-200, 2019
402019
Automatic first arrival picking via deep learning with human interactive learning
KC Tsai, W Hu, X Wu, J Chen, Z Han
IEEE Transactions on Geoscience and Remote Sensing 58 (2), 1380-1391, 2019
372019
Solving geosteering inverse problems by stochastic Hybrid Monte Carlo method
Q Shen, X Wu, J Chen, Z Han, Y Huang
Journal of Petroleum Science and Engineering 161, 9-16, 2018
312018
A theory-guided deep neural network for time domain electromagnetic simulation and inversion using a differentiable programming platform
Y Hu, Y Jin, X Wu, J Chen
IEEE Transactions on Antennas and Propagation 70 (1), 767-772, 2021
262021
Physics-guided self-supervised learning for low frequency data prediction in FWI
W Hu, Y Jin, X Wu, J Chen
SEG Technical Program Expanded Abstracts 2020, 875-879, 2020
252020
Using a physics-driven deep neural network to solve inverse problems for LWD azimuthal resistivity measurements
Y Jin, X Wu, J Chen, Y Huang
SPWLA Annual Logging Symposium, D053S015R002, 2019
252019
Embedding topic discovery in conditional random fields model for segmenting nuclei using multispectral data
X Wu, M Amrikachi, SK Shah
IEEE Transactions on Biomedical Engineering 59 (6), 1539-1549, 2012
252012
A progressive deep transfer learning approach to cycle-skipping mitigation in FWI
W Hu, Y Jin, X Wu, J Chen
SEG International Exposition and Annual Meeting, D033S076R007, 2019
242019
First arrival picking using U-net with Lovasz loss and nearest point picking method
P Yuan, W Hu, X Wu, J Chen, H Van Nguyen
SEG Technical Program Expanded Abstracts 2019, 2624-2628, 2019
232019
Detection and classification of multi-magnetic targets using mask-RCNN
Z Zhou, M Zhang, J Chen, X Wu
IEEE Access 8, 187202-187207, 2020
212020
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Articles 1–20