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Yixiao Sheng
Yixiao Sheng
ISTerre, UGA
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
3132019
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
2672019
Shallow aseismic slip in the Delaware basin determined by Sentinel‐1 InSAR
KS Pepin, WL Ellsworth, Y Sheng, HA Zebker
Journal of Geophysical Research: Solid Earth 127 (2), e2021JB023157, 2022
222022
On the depth of earthquakes in the Delaware Basin: A case study along the Reeves–Pecos county line
Y Sheng, KS Pepin, WL Ellsworth
The Seismic Record 2 (1), 29-37, 2022
192022
On the nature of higher‐order ambient seismic field correlations
Y Sheng, N Nakata, GC Beroza
Journal of Geophysical Research: Solid Earth 123 (9), 7969-7982, 2018
182018
Multicomponent C3 Green’s Functions for Improved Long‐Period Ground‐Motion Prediction
Y Sheng, MA Denolle, GC Beroza
Bulletin of the Seismological Society of America 107 (6), 2836-2845, 2017
152017
Depth constraints on coseismic velocity changes from frequency‐dependent measurements of repeating earthquake waveforms
Y Sheng, WL Ellsworth, A Lellouch, GC Beroza
Journal of Geophysical Research: Solid Earth 126 (2), e2020JB020421, 2021
142021
Modelling P waves in seismic noise correlations: advancing fault monitoring using train traffic sources
K Sager, VC Tsai, Y Sheng, F Brenguier, P Boué, A Mordret, H Igel
Geophysical Journal International 228 (3), 1556-1567, 2022
122022
Wave-dynamics simulation using deep neural networks
W Zhu, Y Sheng, Y Sun
Stanford Report, Stanford Vision and Learning Lab, Stanford University, CA, USA, 2017
122017
Monitoring seismic velocity changes across the San Jacinto Fault using train‐generated seismic tremors
Y Sheng, A Mordret, K Sager, F Brenguier, P Boué, B Rousset, F Vernon, ...
Geophysical Research Letters 49 (19), e2022GL098509, 2022
112022
CRED: a deep residual network of convolutional and recurrent units for earthquake signal detection. Sci Rep 9: 10267
SM Mousavi, W Zhu, Y Sheng, GC Beroza
72019
Seeking repeating anthropogenic seismic sources: Implications for seismic velocity monitoring at fault zones
Y Sheng, A Mordret, F Brenguier, P Boué, F Vernon, T Takeda, Y Aoki, ...
Journal of Geophysical Research: Solid Earth 128 (1), e2022JB024725, 2023
52023
Network analysis of earthquake ground motion spatial correlation: a case study with the San Jacinto seismic nodal array
Y Sheng, Q Kong, GC Beroza
Geophysical Journal International 225 (3), 1704-1713, 2021
52021
Seismic stereometry: an alternative two-station algorithm to seismic interferometry for analysing car-generated seismic signals
Y Sheng
Geophysical Journal International 235 (1), 853-861, 2023
12023
Modeling P waves in seismic noise correlations: Application to fault monitoring using train traffic sources
K Sager, VC Tsai, Y Sheng, F Brenguier, P Boué, A Mordret, H Igel
AGU Fall Meeting Abstracts 2021, S12B-08, 2021
12021
The Midland-Odessa earthquakes: An integrated study characterizing a series of recent earthquakes in west Texas
A Singh, WL Ellsworth, Y Sheng
AGU Fall Meeting Abstracts 2020, S013-0012, 2020
12020
A Global Data Set of Seismic Signals for AI
SM Mousavi, W Zhu, Y Sheng, GC Beroza
AGU Fall Meeting Abstracts 2019, S52A-01, 2019
12019
A long-term, 300 nodes seismic array to monitor seismic velocities across the San Jacinto Fault (South. Cal.)
F Brenguier, Y Sheng, Q Higueret, A Mordret, F Vernon, D Hollis, C Aubert, ...
AGU23, 2023
2023
Exploring Seismic Signatures for Characterizing the Transition from Volcanic Quiescence to Unrest
L Brenot, C Caudron, T Girona, T Lecocq, A Yates, Y Sheng, F Brenguier, ...
AGU23, 2023
2023
Body-wave-based seismic velocity perturbation analyses in Ridgecrest, CA
Y Sheng, A Mordret, L Tomasetto, Q Higueret, F Brenguier, P Boué, ...
AGU23, 2023
2023
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