145 citations · 161 across the 6 of their papers we have counts for
6 papers
Spatial-Temporal Densely Connected Convolutional Networks: An Application to CO2 Leakage Detection
Zheng Zhou, Youzuo Lin, Yue Wu +3
In carbon capture and sequestration, building an effective monitoring method is a crucial step to detect and respond to CO2 leakage. CO2 leakage detection methods rely on geophysic…
A Data-Driven CO2 Leakage Detection Using Seismic Data and Spatial-Temporal Densely Connected Convolutional Neural Networks
Zheng Zhou, Youzuo Lin, Zhongping Zhang +4
In carbon capture and sequestration, developing effective monitoring methods is needed to detect and respond to CO2 leakage. CO2 leakage detection methods rely on geophysical obser…
How to Become Instagram Famous: Post Popularity Prediction with Dual-Attention
Zhongping Zhang, Tianlang Chen, Zheng Zhou +2
With a growing number of social apps, people have become increasingly willing to share their everyday photos and events on social media platforms, such as Facebook, Instagram, and…
Earthquake Detection in 1-D Time Series Data with Feature Selection and Dictionary Learning
Zheng Zhou, Youzuo Lin, Zhongping Zhang +2
Earthquakes can be detected by matching spatial patterns or phase properties from 1-D seismic waves. Current earthquake detection methods, such as waveform correlation and template…
Seismic-Net: A Deep Densely Connected Neural Network to Detect Seismic Events
Yue Wu, Youzuo Lin, Zheng Zhou +1
One of the risks of large-scale geologic carbon sequestration is the potential migration of fluids out of the storage formations. Accurate and fast detection of this fluids migrati…
Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application
Yue Wu, Youzuo Lin, Zheng Zhou +3
Automatic event detection from time series signals has wide applications, such as abnormal event detection in video surveillance and event detection in geophysical data. Traditiona…