30 citations · 104 across the 8 of their papers we have counts for
9 papers
Evaluating Multi-station Phase Picking Algorithm Phase Neural Operator (PhaseNO) on Local Seismic Networks
Qingkai Kong, Avigyan Chatterjee, Chengping Chai +6
Reliable automatic phase picking is important for many seismic applications. With the development of machine learning approaches, many algorithms are proposed, evaluated and applie…
A Comprehensive Analysis of Real-World Accelerometer Data Quality in a Global Smartphone-based Seismic Network
Yawen Zhang, Qingkai Kong, Tao Ruan +2
The proliferation of low-cost sensors in smartphones has facilitated numerous applications; however, large-scale deployments often encounter performance issues. Sensing heterogenei…
Crowdsourcing Felt Reports using the MyShake smartphone app
Qingkai Kong, Richard M. Allen, Steve Allen +5
MyShake is a free citizen science smartphone app that provides a range of features related to earthquakes. Features available globally include rapid post-earthquake notifications,…
Detecting Damage Building Using Real-time Crowdsourced Images and Transfer Learning
Gaurav Chachra, Qingkai Kong, Jim Huang +4
After significant earthquakes, we can see images posted on social media platforms by individuals and media agencies owing to the mass usage of smartphones these days. These images…
Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications
Qingkai Kong, Andrea Chiang, Ana C. Aguiar +3
The idea of using a deep autoencoder to encode seismic waveform features and then use them in different seismological applications is appealing. In this paper, we designed tests to…
Towards Global Earthquake Early Warning with the MyShake Smartphone Seismic Network Part 2 -- Understanding MyShake performance around the world
Qingkai Kong, Robert Martin-Short, Richard M. Allen
The MyShake project aims to build a global smartphone seismic network to facilitate large-scale earthquake early warning and other applications by leveraging the power of crowdsour…
Towards Global Earthquake Early Warning with the MyShake Smartphone Seismic Network Part 1 -- Detection algorithm and simulation platform
Qingkai Kong, Robert Martin-Short, Richard M. Allen
The MyShake project aims to build a global smartphone seismic network to facilitate large-scale earthquake early warning and other applications by leveraging the power of crowdsour…
MyShake: Detecting and characterizing earthquakes with a global smartphone seismic network
Qingkai Kong, Sarina Patel, Asaf Inbal +1
MyShake harnesses private/personal smartphones to build a global seismic network. It uses the accelerometers embedded in all smartphones to record ground motions induced by earthqu…
Earthquake Early Warning and Beyond: Systems Challenges in Smartphone-based Seismic Network
Qingkai Kong, Qin Lv, Richard M. Allen
Earthquake Early Warning (EEW) systems can effectively reduce fatalities, injuries, and damages caused by earthquakes. Current EEW systems are mostly based on traditional seismic a…