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Lijun Zhu
Lijun Zhu
Walmart Global Tech
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Title
Cited by
Cited by
Year
Deep learning for seismic phase detection and picking in the aftershock zone of 2008 Mw7. 9 Wenchuan earthauqke
L Zhu, Z Peng, J McClellan, C Li, D Yao, Z Li, L Fang
arXiv preprint arXiv:1901.06396, 2019
1342019
High-resolution seismic event detection using local similarity for Large-N arrays
Z Li, Z Peng, D Hollis, L Zhu, J McClellan
Scientific reports 8 (1), 1646, 2018
1212018
Microseismic events enhancement and detection in sensor arrays using autocorrelation‐based filtering
E Liu, L Zhu, AG Raj, JH McClellan, A Al‐Shuhail, SLI Kaka, N Iqbal
Geophysical Prospecting 65 (6), 1496-1509, 2017
202017
BCNN: A binary CNN with all matrix OPS quantized to 1 bit precision
AJ Redfern, L Zhu, MK Newquist
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
142021
A multi-channel approach for automatic microseismic event association using RANSAC-based arrival time event clustering (RATEC)
L Zhu, L Chuang, JH McClellan, E Liu, Z Peng
Earthquake Research Advances 1 (3), 100008, 2021
11*2021
An automatic arrival time picking method based on RANSAC curve fitting
L Zhu, E Liu, JH McClellan
78th EAGE Conference and Exhibition 2016 2016 (1), 1-5, 2016
82016
3D numerical modeling of parametric speaker using finite-difference time-domain
L Zhu, D Florencio
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
72015
Deep learning for seismic event detection of earthquake aftershocks
L Zhu, Z Peng, J McClellan
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1121-1125, 2018
62018
Estimation of passive microseismic event location using random sampling-based curve fitting
L Zhu, E Liu, J McClellan, Y Zhao, W Li, Z Li, Z Peng
SEG International Exposition and Annual Meeting, SEG-2017-17730445, 2017
42017
Full waveform microseismic inversion using differential evolution algorithm
L Zhu, E Liu, JH McClellan
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2015
42015
High-resolution microseismic detection and location using Large-N arrays
Z Li, Z Peng, L Zhu, J McClellan
2017 Workshop: Microseismic Technologies and Applications, Hefei, China, 4-6 …, 2017
22017
Weighted Random Sampling in Seismic Event Detection/Location (WRASED): Applications to Local, Regional, and Global Seismic Networks
L Zhu, Z Li, Z Peng, E Liu, JH McClellan
Seismological Research Letters 88 (2B), 463-723, 2017
22017
Seismic processing via machine learning for event detection and phase picking
L Zhu
Georgia Institute of Technology, 2019
12019
Event detection and phase picking based on deep convolutional neural networks
L Zhu, Z Peng, J Mcclellan
80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018
12018
Machine-Learning Inspired Seismic Phase Detection for Aftershocks of the 2008 MW7.9 Wenchuan Earthquake
L Zhu, Z Li, C Li, B Wang, Z Chen, JH McClellan, Z Peng
Abstract [S41D-08] presented at 2017 Fall Meeting, AGU, New Orleans, LA, 11 …, 2017
12017
Classification of arrival-time picks for microseismic event localization
L Zhu, E Liu, JH McClellan, Z Peng, Z Li
79th EAGE Conference and Exhibition 2017 2017 (1), 1-5, 2017
12017
Microseismic events enhancement in sensor arrays using autocorrelation based filtering
E Liu, L Zhu, JH McClellan, A Al-Shuhail, SI Kaka
78th EAGE Conference and Exhibition 2016 2016 (1), 1-5, 2016
12016
Transfer Learning for Seismic Phase Picking on Different Geographic Regions
C Li, L Zhu, D Yao, X Meng, Z Peng, J McClellan, J Walter
Authorea Preprints, 2022
2022
P-wave first-motion polarity determination using deep learning
Q Zhai, Z Peng, R Heidary, J Williams, S Howard, S Dai, L Zhu, YM Wu
AGU Fall Meeting Abstracts 2021, S35C-0229, 2021
2021
A Deep Convolutional Neural Network Model for Earthquake Phase Picking in Taiwan
LY Chuang, L Zhu, Q Zhai, Z Peng, JH McClellan, KH Chen
AGU Fall Meeting Abstracts 2019, S43D-0678, 2019
2019
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