Follow
Weiqiang Zhu
Title
Cited by
Cited by
Year
PhaseNet: a deep-neural-network-based seismic arrival-time picking method
W Zhu, GC Beroza
Geophysical Journal International 216 (1), 261-273, 2018
8562018
Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking
SM Mousavi, WL Ellsworth, W Zhu, LY Chuang, GC Beroza
Nature communications 11 (1), 3952, 2020
5712020
Seismic signal denoising and decomposition using deep neural networks
W Zhu, SM Mousavi, GC Beroza
IEEE Transactions on Geoscience and Remote Sensing 57 (11), 9476-9488, 2019
3532019
CRED: A deep residual network of convolutional and recurrent units for earthquake signal detection
SM Mousavi, W Zhu, Y Sheng, GC Beroza
Scientific reports 9 (1), 10267, 2019
3052019
STanford EArthquake Dataset (STEAD): A global data set of seismic signals for AI
SM Mousavi, Y Sheng, W Zhu, GC Beroza
IEEE Access 7, 179464-179476, 2019
2532019
Unsupervised clustering of seismic signals using deep convolutional autoencoders
SM Mousavi, W Zhu, W Ellsworth, G Beroza
IEEE Geoscience and Remote Sensing Letters 16 (11), 1693-1697, 2019
1432019
Rapid characterization of the July 2019 Ridgecrest, California, earthquake sequence from raw seismic data using machine‐learning phase picker
M Liu, M Zhang, W Zhu, WL Ellsworth, H Li
Geophysical Research Letters 47 (4), e2019GL086189, 2020
1162020
Using a deep neural network and transfer learning to bridge scales for seismic phase picking
C Chai, M Maceira, HJ Santos‐Villalobos, SV Venkatakrishnan, ...
Geophysical Research Letters 47 (16), e2020GL088651, 2020
902020
Machine‐Learning‐Based High‐Resolution Earthquake Catalog Reveals How Complex Fault Structures Were Activated during the 2016–2017 Central Italy Sequence
YJ Tan, F Waldhauser, WL Ellsworth, M Zhang, W Zhu, M Michele, ...
The Seismic Record 1 (1), 11-19, 2021
872021
Fault valving and pore pressure evolution in simulations of earthquake sequences and aseismic slip
W Zhu, KL Allison, EM Dunham, Y Yang
Nature communications 11 (1), 4833, 2020
872020
LOC‐FLOW: An End‐to‐End Machine Learning‐Based High‐Precision Earthquake Location Workflow
M Zhang, M Liu, T Feng, R Wang, W Zhu
Seismological Research Letters, 2022
622022
Earthquake phase association using a Bayesian Gaussian mixture model
W Zhu, IW McBrearty, SM Mousavi, WL Ellsworth, GC Beroza
Journal of Geophysical Research: Solid Earth 127 (5), e2021JB023249, 2022
572022
Seismic signal augmentation to improve generalization of deep neural networks
W Zhu, SM Mousavi, GC Beroza
Advances in Geophysics 61, 151-177, 2020
542020
Machine‐learning‐based analysis of the Guy‐Greenbrier, Arkansas earthquakes: A tale of two sequences
Y Park, SM Mousavi, W Zhu, WL Ellsworth, GC Beroza
Geophysical Research Letters 47 (6), e2020GL087032, 2020
532020
A general approach to seismic inversion with automatic differentiation
W Zhu, K Xu, E Darve, GC Beroza
Computers & Geosciences 151, 104751, 2021
522021
Integrating deep neural networks with full-waveform inversion: Reparameterization, regularization, and uncertainty quantification
W Zhu, K Xu, E Darve, B Biondi, GC Beroza
Geophysics 87 (1), R93-R109, 2022
512022
An End‐To‐End Earthquake Detection Method for Joint Phase Picking and Association Using Deep Learning
W Zhu, KS Tai, SM Mousavi, P Bailis, GC Beroza
Journal of Geophysical Research: Solid Earth 127 (3), e2021JB023283, 2022
462022
The magmatic web beneath Hawai ‘i
JD Wilding, W Zhu, ZE Ross, JM Jackson
Science 379 (6631), 462-468, 2023
292023
QuakeFlow: a scalable machine-learning-based earthquake monitoring workflow with cloud computing
W Zhu, AB Hou, R Yang, A Datta, SM Mousavi, WL Ellsworth, GC Beroza
Geophysical Journal International, 2022
292022
Toward improved urban earthquake monitoring through deep-learning-based noise suppression
L Yang, X Liu, W Zhu, L Zhao, GC Beroza
Science advances 8 (15), eabl3564, 2022
282022
The system can't perform the operation now. Try again later.
Articles 1–20