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Qingkai Kong
Qingkai Kong
Verified email at llnl.gov - Homepage
Title
Cited by
Cited by
Year
Machine learning in seismology: Turning data into insights
Q Kong, DT Trugman, ZE Ross, MJ Bianco, BJ Meade, P Gerstoft
Seismological Research Letters 90 (1), 3-14, 2019
4302019
MyShake: A smartphone seismic network for earthquake early warning and beyond
Q Kong, RM Allen, L Schreier, YW Kwon
Science advances 2 (2), e1501055, 2016
3112016
Hybrid event detection and phase‐picking algorithm using convolutional and recurrent neural networks
Y Zhou, H Yue, Q Kong, S Zhou
Seismological Research Letters 90 (3), 1079-1087, 2019
1482019
Python programming and numerical methods: A guide for engineers and scientists
Q Kong, T Siauw, A Bayen
Academic Press, 2020
852020
Structural health monitoring of buildings using smartphone sensors
Q Kong, RM Allen, MD Kohler, TH Heaton, J Bunn
Seismological Research Letters 89 (2A), 594-602, 2018
802018
MyShake: Initial observations from a global smartphone seismic network
Q Kong, RM Allen, L Schreier
Geophysical Research Letters 43 (18), 9588-9594, 2016
652016
The MyShake platform: a global vision for earthquake early warning
RM Allen, Q Kong, R Martin-Short
Pure and Applied Geophysics 177, 1699-1712, 2020
632020
Ambient noise‐based monitoring of seismic velocity changes associated with the 2014 Mw 6.0 South Napa earthquake
T Taira, F Brenguier, Q Kong
Geophysical Research Letters 42 (17), 6997-7004, 2015
512015
Smartphone-based networks for earthquake detection
Q Kong, YW Kwon, L Schreierz, S Allen, R Allen, J Strauss
2015 15th international conference on innovations for community services …, 2015
472015
Machine Learning Aspects of the MyShake Global Smartphone Seismic Network
Q Kong, A Inbal, RM Allen, Q Lv, A Puder
Seismological Research Letters, 2018
352018
Combining deep learning with physics based features in explosion‐earthquake discrimination
Q Kong, R Wang, WR Walter, M Pyle, K Koper, B Schmandt
Geophysical Research Letters 49 (13), e2022GL098645, 2022
262022
Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit
T Ruan, Q Kong, SK McBride, A Sethjiwala, Q Lv
Scientific reports 12 (1), 1634, 2022
262022
MyShake: Using human-centered design methods to promote engagement in a smartphone-based global seismic network
K Rochford, JA Strauss, Q Kong, RM Allen
Frontiers in Earth Science 6, 422458, 2018
262018
Earthquake early warning and beyond: Systems challenges in smartphone-based seismic network
Q Kong, Q Lv, RM Allen
Proceedings of the 20th international workshop on mobile computing systems …, 2019
242019
On the feasibility of using the dense MyShake smartphone array for earthquake location
A Inbal, Q Kong, W Savran, RM Allen
Seismological Research Letters 90 (3), 1209-1218, 2019
182019
Assessing the sensitivity and accuracy of the MyShake smartphone seismic network to detect and characterize earthquakes
Q Kong, S Patel, A Inbal, RM Allen
Seismological Research Letters 90 (5), 1937-1949, 2019
172019
Deep convolutional autoencoders as generic feature extractors in seismological applications
Q Kong, A Chiang, AC Aguiar, MG Fernández-Godino, SC Myers, ...
Artificial intelligence in geosciences 2, 96-106, 2021
142021
Toward global earthquake early warning with the myshake smartphone seismic network, part 1: Simulation platform and detection algorithm
Q Kong, R Martin‐Short, RM Allen
Seismological Research Letters 91 (4), 2206-2217, 2020
132020
Toward global earthquake early warning with the MyShake smartphone seismic network, Part 2: Understanding MyShake performance around the world
Q Kong, R Martin‐Short, RM Allen
Seismological Research Letters 91 (4), 2218-2233, 2020
132020
Evaluation of earthquake signal characteristics for early warning
Q Kong, M Zhao
Earthquake Engineering and Engineering Vibration 11, 435-443, 2012
132012
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