| Automatic reconstruction method of 3D geological models based on deep convolutional generative adversarial networks Z Yang, Q Chen, Z Cui, G Liu, S Dong, Y Tian Computational Geosciences 26 (5), 1135-1150, 2022 | 21 | 2022 |
| Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation Z Cui, Q Chen, G Liu, G Mariethoz, X Ma Computers & Geosciences 157, 104923, 2021 | 21 | 2021 |
| Multiple-point geostatistical simulation based on conditional conduction probability Z Cui, Q Chen, G Liu, X Ma, X Que Stochastic Environmental Research and Risk Assessment 35 (7), 1355-1368, 2021 | 19 | 2021 |
| Deep convolutional generative adversarial networks for modeling complex hydrological structures in Monte-Carlo simulation Q Chen, Z Cui, G Liu, Z Yang, X Ma Journal of Hydrology 610, 127970, 2022 | 18 | 2022 |
| 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 G Liu, H Fang, Q Chen, Z Cui, M Zeng Natural Resources Research 31 (6), 3101-3120, 2022 | 10 | 2022 |
| Characterization of subsurface hydrogeological structures with convolutional conditional neural processes on limited training data Z Cui, Q Chen, G Liu Water Resources Research 58 (12), e2022WR033161, 2022 | 9 | 2022 |
| pyMPSLib: A robust and scalable open-source Python library for mutiple-point statistical simulation Q Chen, R Zhou, C Liu, Q Huang, Z Cui, G Liu Earth Science Informatics 16 (4), 3179-3190, 2023 | 4 | 2023 |
| SA-VAE: a novel approach for reservoir characterization based on variational auto-encoder and selective attention mechanism D Chen, Q Chen, Z Cui, R Wang, G Liu Earth Science Informatics 16 (4), 3283-3301, 2023 | 3 | 2023 |
| A two-stage downscaling hydrological modeling approach via convolutional conditional neural process and geostatistical bias correction Z Cui, Q Chen, G Liu Journal of Hydrology 620, 129498, 2023 | 3 | 2023 |
| Geological model automatic reconstruction based on conditioning Wasserstein generative adversarial network with gradient penalty W Fan, G Liu, Q Chen, Z Cui, Z Yang, Q Huang, X Wu Earth Science Informatics 16 (3), 2825-2843, 2023 | 2 | 2023 |
| Visualization facilitates uncertainty evaluation of multiple-point geostatistical stochastic simulation Q Huang, Q Chen, G Liu, Z Cui Visual Intelligence 1 (1), 12, 2023 | 1 | 2023 |
| CPU-MIC acceleration of multiple-point statistical simulation on Tianhe-2 Q Chen, Z Cui, G Liu, J Liu, X Ma 2020 IEEE 22nd International Conference on High Performance Computing and …, 2020 | 1 | 2020 |
| Characterizing subsurface structures from hard and soft data with multiple-condition fusion neural network Q Chen, Z Cui EGU24, 2024 | | 2024 |
| Automatic reconstruction of geological reservoir models based on conditioning data constraints and BicycleGAN W Fan, G Liu, Q Chen, Z Cui, H Fang, G Chen, X Wu Geoenergy Science and Engineering 234, 212690, 2024 | | 2024 |
| Stochastic reconstruction of geological reservoir models based on a concurrent multi-stage U-Net generative adversarial network W Fan, G Liu, Q Chen, Z Cui, X Wu, Z Zhang Computers & Geosciences, 105562, 2024 | | 2024 |
| Extraction of weak geochemical anomalies based on multiple-point statistics and local singularity analysis W Fan, G Liu, Q Chen, L Lu, Z Cui, B Zuo, X Wu Computational Geosciences 28 (1), 157-173, 2024 | | 2024 |
| SA‐RelayGANs: A Novel Framework for the Characterization of Complex Hydrological Structures Based on GANs and Self‐Attention Mechanism Z Cui, Q Chen, G Liu, L Xun Water Resources Research 60 (1), e2023WR035932, 2024 | | 2024 |
Qiyu CHENChina University of Geosciences (Wuhan)Verified email at cug.edu.cn
