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Characterization of Subsurface Hydrogeological Structures With Convolutional Conditional Neural Processes on Limited Training Data

Water resources research, 2022-12, Vol.58 (12), p.n/a

2022

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Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation

Computers & geosciences, 2021-12, Vol.157, p.104923, Article 104923

2021

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SA‐RelayGANs: A Novel Framework for the Characterization of Complex Hydrological Structures Based on GANs and Self‐Attention Mechanism

Water resources research, 2024-01, Vol.60 (1), p.n/a

2024

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Multiple-point geostatistical simulation based on conditional conduction probability

Stochastic environmental research and risk assessment, 2021-07, Vol.35 (7), p.1355-1368

2021

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A two-stage downscaling hydrological modeling approach via convolutional conditional neural process and geostatistical bias correction

Journal of hydrology (Amsterdam), 2023-05, Vol.620, p.129498, Article 129498

2023

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Deep convolutional generative adversarial networks for modeling complex hydrological structures in Monte-Carlo simulation

Journal of hydrology (Amsterdam), 2022-07, Vol.610, p.127970, Article 127970

2022

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A Feature-Enhanced MPS Approach to Reconstruct 3D Deposit Models Using 2D Geological Cross Sections: A Case Study in the Luodang Cu Deposit, Southwestern China

Natural resources research (New York, N.Y.), 2022-12, Vol.31 (6), p.3101-3120

2022

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Automatic reconstruction method of 3D geological models based on deep convolutional generative adversarial networks

Computational geosciences, 2022-10, Vol.26 (5), p.1135-1150

2022

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Stochastic reconstruction of geological reservoir models based on a concurrent multi-stage U-Net generative adversarial network

Computers & geosciences, 2024-04, Vol.186, p.105562, Article 105562

2024

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SA-VAE: a novel approach for reservoir characterization based on variational auto-encoder and selective attention mechanism

Earth science informatics, 2023-12, Vol.16 (4), p.3283-3301

2023

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Extraction of weak geochemical anomalies based on multiple-point statistics and local singularity analysis

Computational geosciences, 2024-02, Vol.28 (1), p.157-173

2024

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pyMPSLib: A robust and scalable open-source Python library for mutiple-point statistical simulation

Earth science informatics, 2023-12, Vol.16 (4), p.3179-3190

2023

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Visualization facilitates uncertainty evaluation of multiple-point geostatistical stochastic simulation

Visual Intelligence, 2023-06, Vol.1 (1), Article 12

2023

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Toward Data-Driven Mineral Prospectivity Mapping from Remote Sensing Data Using Deep Forest Predictive Model

Natural resources research (New York, N.Y.), 2024-07

2024

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Geological model automatic reconstruction based on conditioning Wasserstein generative adversarial network with gradient penalty

Earth science informatics, 2023-09, Vol.16 (3), p.2825-2843

2023

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Automatic reconstruction of geological reservoir models based on conditioning data constraints and BicycleGAN

Geoenergy Science and Engineering, 2024-03, Vol.234, p.212690, Article 212690

2024

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CPU-MIC Acceleration of Multiple-point Statistical Simulation on Tianhe-2

2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2020, p.700-707

2020

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Characterization of Subsurface Hydrogeological Structures With Convolutional Conditional Neural Processes on Limited Training Data

Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation

SA‐RelayGANs: A Novel Framework for the Characterization of Complex Hydrological Structures Based on GANs and Self‐Attention Mechanism

Multiple-point geostatistical simulation based on conditional conduction probability

A two-stage downscaling hydrological modeling approach via convolutional conditional neural process and geostatistical bias correction

Deep convolutional generative adversarial networks for modeling complex hydrological structures in Monte-Carlo simulation

A Feature-Enhanced MPS Approach to Reconstruct 3D Deposit Models Using 2D Geological Cross Sections: A Case Study in the Luodang Cu Deposit, Southwestern China

Automatic reconstruction method of 3D geological models based on deep convolutional generative adversarial networks

Stochastic reconstruction of geological reservoir models based on a concurrent multi-stage U-Net generative adversarial network

SA-VAE: a novel approach for reservoir characterization based on variational auto-encoder and selective attention mechanism

Extraction of weak geochemical anomalies based on multiple-point statistics and local singularity analysis

pyMPSLib: A robust and scalable open-source Python library for mutiple-point statistical simulation

Visualization facilitates uncertainty evaluation of multiple-point geostatistical stochastic simulation

Toward Data-Driven Mineral Prospectivity Mapping from Remote Sensing Data Using Deep Forest Predictive Model

Geological model automatic reconstruction based on conditioning Wasserstein generative adversarial network with gradient penalty

Automatic reconstruction of geological reservoir models based on conditioning data constraints and BicycleGAN

CPU-MIC Acceleration of Multiple-point Statistical Simulation on Tianhe-2

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