CPU-MIC Acceleration of Multiple-point Statistical Simulation on Tianhe-2. - Qiyu Chen; Zhesi Cui; Gang Liu 003; Jia Liu 021; Xiaogang Ma 001 (HPCC/DSS/SmartCity, 2020)

Hybrid parallel framework for multiple-point geostatistics on Tianhe-2: A robust solution for large-scale simulation. - Zhesi Cui; Qiyu Chen; Gang Liu 003; Grégoire Mariéthoz; Xiaogang Ma 001 (Comput. Geosci., 2021)

Visualization facilitates uncertainty evaluation of multiple-point geostatistical stochastic simulation. - Qianhong Huang; Qiyu Chen; Gang Liu 003; Zhesi Cui (Vis. Intell., 2023)

Geological model automatic reconstruction based on conditioning Wasserstein generative adversarial network with gradient penalty. - Wenyao Fan; Gang Liu 003; Qiyu Chen; Zhesi Cui; Zixiao Yang; Qianhong Huang; Xuechao Wu (Earth Sci. Informatics, 2023)

SA-VAE: a novel approach for reservoir characterization based on variational auto-encoder and selective attention mechanism. - Dajie Chen; Qiyu Chen; Zhesi Cui; Ruyi Wang; Gang Liu 003 (Earth Sci. Informatics, 2023)

pyMPSLib: A robust and scalable open-source Python library for mutiple-point statistical simulation. - Qiyu Chen; Ruihong Zhou; Cui Liu; Qianhong Huang; Zhesi Cui; Gang Liu 003 (Earth Sci. Informatics, 2023)

Stochastic reconstruction of geological reservoir models based on a concurrent multi-stage U-Net generative adversarial network. - Wenyao Fan; Gang Liu 003; Qiyu Chen; Zhesi Cui; Xuechao Wu; Zhiting Zhang (Comput. Geosci., 2024)

A conditional masked autoencoder network based on efficient multiple-head self-attention for characterizing heterogeneous reservoirs. - Qiyu Chen; Ruihong Zhou; Dajie Chen; Zhesi Cui; Xiaogang Ma 001; Gang Liu 003 (Expert Syst. Appl., 2026)