History matching of facies distribution with the EnKF and level set parameterization. - Haibin Chang; Dongxiao Zhang; Zhiming Lu (J. Comput. Phys., 2010)

DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data. - Hao Xu; Haibin Chang; Dongxiao Zhang (CoRR, 2019)

Deep Learning of Subsurface Flow via Theory-guided Neural Network. - Nanzhe Wang; Dongxiao Zhang; Haibin Chang; Heng Li (CoRR, 2019)

Identification of physical processes via combined data-driven and data-assimilation methods. - Haibin Chang; Dongxiao Zhang (J. Comput. Phys., 2019)

Ensemble Neural Networks (ENN): A gradient-free stochastic method. - Yuntian Chen; Haibin Chang; Jin Meng; Dongxiao Zhang (Neural Networks, 2019)

DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm. - Hao Xu; Haibin Chang; Dongxiao Zhang (CoRR, 2020)

Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network. - Nanzhe Wang; Haibin Chang; Dongxiao Zhang (CoRR, 2020)

Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example. - Nanzhe Wang; Haibin Chang; Dongxiao Zhang (CoRR, 2020)

Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling. - Nanzhe Wang; Haibin Chang; Dongxiao Zhang (CoRR, 2020)

DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm. - Hao Xu 021; Haibin Chang; Dongxiao Zhang (J. Comput. Phys., 2020)

Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network. - Nanzhe Wang; Qinzhuo Liao; Haibin Chang; Dongxiao Zhang (CoRR, 2022)

Deep learning based closed-loop optimization of geothermal reservoir production. - Nanzhe Wang; Haibin Chang; Xiangzhao Kong; Martin O. Saar; Dongxiao Zhang (CoRR, 2022)

Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net. - Tianhao He; Haibin Chang; Dongxiao Zhang (CoRR, 2022)

Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network. - Nanzhe Wang; Haibin Chang; Dongxiao Zhang (J. Comput. Phys., 2022)

Analysis of influencing factors on teachers' AI literacy under the SOR framework: An empirical study based on PLS-SEM and fsQCA. - Yimin Ning; Hanyi Zheng; Hongde Wu; Zhijie Jin; Haibin Chang; Tommy Tanu Wijaya (Educ. Inf. Technol., 2025)