214 citations · 397 across the 10 of their papers we have counts for
10 papers
Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal
Zhentao Tan, Yue Wu, Qiankun Liu +4
Image restoration under adverse weather conditions (e.g., rain, snow and haze) is a fundamental computer vision problem and has important indications for various downstream applica…
A Neural RDE-based model for solving path-dependent PDEs
Bowen Fang, Hao Ni, Yue Wu
The concept of the path-dependent partial differential equation (PPDE) was first introduced in the context of path-dependent derivatives in financial markets. Its semilinear form w…
NODE-ImgNet: a PDE-informed effective and robust model for image denoising
Xinheng Xie, Yue Wu, Hao Ni +1
Inspired by the traditional partial differential equation (PDE) approach for image denoising, we propose a novel neural network architecture, referred as NODE-ImgNet, that combines…
Towards Understanding Mixture of Experts in Deep Learning
Zixiang Chen, Yihe Deng, Yue Wu +2
The Mixture-of-Experts (MoE) layer, a sparsely-activated model controlled by a router, has achieved great success in deep learning. However, the understanding of such architecture…
InversionNet: A Real-Time and Accurate Full Waveform Inversion with CNNs and continuous CRFs
Yue Wu, Youzuo Lin
Full-waveform inversion problems are usually formulated as optimization problems, where the forward-wave propagation operator maps the subsurface velocity structures to seismic…
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…
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…