| 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 | 137 | 2019 |
| 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 | 123 | 2018 |
| 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 | 20 | 2017 |
| 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 | 14 | 2021 |
| 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 | 12* | 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 | 8 | 2016 |
| 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 | 7 | 2015 |
| 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 | 6 | 2018 |
| 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 | 4 | 2017 |
| 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 | 4 | 2015 |
| 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 | 2 | 2017 |
| 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 | 2 | 2017 |
| Seismic processing via machine learning for event detection and phase picking L Zhu Georgia Institute of Technology, 2019 | 1 | 2019 |
| 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 | 1 | 2018 |
| 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 | 1 | 2017 |
| 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 | 1 | 2017 |
| 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 | 1 | 2016 |
| 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 |
Zhigang PengProfessor of Geophysics, Georgia Institute of Technology在 gatech.edu 的电子邮件经过验证
