Bicheng Yan
Orcid: 0000-0002-3356-7594
According to our database1,
Bicheng Yan
authored at least 13 papers
between 2018 and 2025.
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Bibliography
2025
On the feasibility of an ensemble multi-fidelity neural network for fast data assimilation for subsurface flow in porous media.
Expert Syst. Appl., 2025
2024
Unraveling Overlying Rock Fracturing Evolvement for Mining Water Inflow Channel Prediction: A Spatiotemporal Analysis Using ConvLSTM Image Reconstruction.
IEEE Trans. Geosci. Remote. Sens., 2024
Multi-objective optimization of reservoir development strategy with hybrid artificial intelligence method.
Expert Syst. Appl., 2024
2023
CoRR, 2023
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks.
CoRR, 2023
Generation of Limit Cycles in Nonlinear Systems: Machine Leaning Based Type-3 Fuzzy Control.
IEEE Access, 2023
2022
A gradient-based deep neural network model for simulating multiphase flow in porous media.
J. Comput. Phys., 2022
2021
On the feasibility of using physics-informed machine learning for underground reservoir pressure management.
Expert Syst. Appl., 2021
A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods.
CoRR, 2021
A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media.
CoRR, 2021
Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening.
CoRR, 2021
A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media.
CoRR, 2021
2018
A locally conservative Multiscale Finite Element Method for multiphase flow simulation through heterogeneous and fractured porous media.
J. Comput. Appl. Math., 2018