75 citations · 129 across the 5 of their papers we have counts for
12 papers
Construction of Attenuation Relationship of Peak Ground Velocity Using Machine Learning and Examination of Station Correction Factor
Junjie Wu, Yoshihisa Maruyama, Wen Liu
This study tries to develop new attenuation relationships of peak ground velocity using machine learning methods; random forest and neural network. In order to compare with the pre…
Measurement of the Born cross sections for at center-of-mass energies between and GeV
BESIII Collaboration, M. Ablikim, M. N. Achasov +487
The Born cross sections for the process at different center-of-mass energies between and GeV are reported with improved precision fro…
Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization
Jingyuan Wang, Junjie Wu, Ze Wang +2
Recent years have witnessed the world-wide emergence of mega-metropolises with incredibly huge populations. Understanding residents mobility patterns, or urban dynamics, thus becom…
SVM-based Deep Stacking Networks
Jingyuan Wang, Kai Feng, Junjie Wu
The deep network model, with the majority built on neural networks, has been proved to be a powerful framework to represent complex data for high performance machine learning. In r…
Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention
Jingyuan Wang, Xiaojian Wang, Junjie Wu
Since the 21st century, the global outbreaks of infectious diseases such as SARS in 2003, H1N1 in 2009, and H7N9 in 2013, have become the critical threat to the public health and a…
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
Jingyuan Wang, Ze Wang, Jianfeng Li +1
Recent years have witnessed the unprecedented rising of time series from almost all kindes of academic and industrial fields. Various types of deep neural network models have been…