Bicheng Yan

According to our database, Bicheng Yan authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SURGIN: SURrogate-guided Generative INversion for subsurface multiphase flow with quantified uncertainty.

Zhao Feng, Bicheng Yan, Luanxiao Zhao, Xianda Shen, Renyu Zhao, Wenhao Wang, Fengshou Zhang

CoRR, September, 2025

Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration.

Zhao Feng, Xin-Yang Liu, Meet Hemant Parikh, Junyi Guo, Pan Du, Bicheng Yan, Jian-Xun Wang

CoRR, August, 2025

On the feasibility of an ensemble multi-fidelity neural network for fast data assimilation for subsurface flow in porous media.

Yating Wang, Bicheng Yan

Expert Syst. Appl., 2025

2024

Unraveling Overlying Rock Fracturing Evolvement for Mining Water Inflow Channel Prediction: A Spatiotemporal Analysis Using ConvLSTM Image Reconstruction.

Huichao Yin, Gaizhuo Zhang, Qiang Wu, Fangpeng Cui, Bicheng Yan, Shangxian Yin, Mohamad Reza Soltanian, Hung Vo Thanh, Zhenxue Dai

IEEE Trans. Geosci. Remote. Sens., 2024

Multi-objective optimization of reservoir development strategy with hybrid artificial intelligence method.

Xinyu Zhuang, Wendong Wang, Yuliang Su, Bicheng Yan, Yuan Li, Lei Li, Yongmao Hao

Expert Syst. Appl., 2024

2023

Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model.

Zhaoyang Ma, Xupeng He, Shuyu Sun, Bicheng Yan, Hyung Kwak, Jun Gao

CoRR, 2023

Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks.

Zhaoyang Ma, Xupeng He, Hyung Kwak, Jun Gao, Shuyu Sun, Bicheng Yan

CoRR, 2023

Generation of Limit Cycles in Nonlinear Systems: Machine Leaning Based Type-3 Fuzzy Control.

Bicheng Yan, Xiaoqiang Jiang, Khalid A. Alattas, Chunwei Zhang, Ardashir Mohammadzadeh

IEEE Access, 2023

2022

A gradient-based deep neural network model for simulating multiphase flow in porous media.

Bicheng Yan, Dylan Robert Harp, Bailian Chen, Hussein Hoteit, Rajesh J. Pawar

J. Comput. Phys., 2022

2021

On the feasibility of using physics-informed machine learning for underground reservoir pressure management.

Dylan Robert Harp, Dan O'Malley, Bicheng Yan, Rajesh J. Pawar

Expert Syst. Appl., 2021

A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods.

Bicheng Yan, Bailian Chen, Dylan Robert Harp, Rajesh J. Pawar

CoRR, 2021

A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media.

Bicheng Yan, Dylan Robert Harp, Bailian Chen, Rajesh J. Pawar

CoRR, 2021

Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening.

Bicheng Yan, Dylan Robert Harp, Bailian Chen, Rajesh J. Pawar

CoRR, 2021

A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media.

Bicheng Yan, Dylan Robert Harp, Rajesh J. Pawar

CoRR, 2021

2018

A locally conservative Multiscale Finite Element Method for multiphase flow simulation through heterogeneous and fractured porous media.

Na Zhang, Yating Wang, Yuhe Wang, Bicheng Yan, Qian Sun

J. Comput. Appl. Math., 2018