5 citations · 9 across the 3 of their papers we have counts for
3 papers
cond-mat.dis-nn2021★ 4 cited
Machine Learning Percolation Model
Shu Cheng, Fei He, Huai Zhang +2
Recent advances in machine learning have become increasingly popular in the applications of phase transitions and critical phenomena. By machine learning approaches, we try to iden…
physics.geo-ph2020
On the correlation of earthquake occurrence among major fault zones in the eastern margin of the Tibetan Plateau by Big Data Analysis
Zili Zhou, Huai Zhang, Huihong Cheng +5
The subsequent series of responses to big events may exhibit a synchronicity of event number, frequency and energy release in different fault zones. This synchronicity is a reliabl…
eess.SP2020★ 5 cited
Comparison of Machine Learning Methods for Predicting Karst Spring Discharge in North China
Shu Cheng, Xiaojuan Qiao, Yaolin Shi +1
The quantitative analyses of karst spring discharge typically rely on physical-based models, which are inherently uncertain. To improve the understanding of the mechanism of spring…