Haibin Chang

发表

DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data pdf

Hao Xu, Haibin Chang, Dongxiao Zhang, 2019, Communications in Computational Physics.

Ensemble Neural Networks (ENN): A gradient-free stochastic method

Haibin Chang, Yuntian Chen, Jin Meng, 2019, Neural Networks.

Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example pdf

Haibin Chang, Dongxiao Zhang, Nanzhe Wang, 2020, ArXiv.

A Probabilistic Collocation-Based Kalman Filter for History Matching

Haibin Chang, Dongxiao Zhang, Lingzao Zeng, 2011 .

DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm

Hao Xu, Haibin Chang, Dongxiao Zhang, 2020, J. Comput. Phys..

Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling pdf

Haibin Chang, Dongxiao Zhang, Nanzhe Wang, 2020, ArXiv.

History matching of facies distribution with the EnKF and level set parameterization

Haibin Chang, Dongxiao Zhang, Zhiming Lu, 2010, J. Comput. Phys..

Deep Learning of Subsurface Flow via Theory-guided Neural Network pdf

Heng Li, Haibin Chang, Dongxiao Zhang, 2019, ArXiv.

Efficient History Matching Using the Markov-Chain Monte Carlo Method by Means of the Transformed Adaptive Stochastic Collocation Method

Haibin Chang, Dongxiao Zhang, Lingzao Zeng, 2019, SPE Journal.

Data Assimilation of Coupled Fluid Flow and Geomechanics via Ensemble Kalman Filter

Haibin Chang, Dongxiao Zhang, Yan Chen, 2009 .

Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network pdf

Haibin Chang, Dongxiao Zhang, Nanzhe Wang, 2020, ArXiv.

History Matching for Non-Gaussian Random Fields Using the Probabilistic Collocation based Kalman Filter

Heng Li, Haibin Chang, Dongxiao Zhang, 2011, ANSS 2011.

Identification of physical processes via combined data-driven and data-assimilation methods pdf

Haibin Chang, Dongxiao Zhang, Dongxiao Zhang, 2018, J. Comput. Phys..

Marine Information Sharing and Publishing System: A WebGIS Approach

Haibin Chang, Tian Tian, 2019, Journal of Coastal Research.

Stochastic Collocation Methods for Efficient and Accurate Quantification of Uncertainty in Multiphase Reservoir Simulations

Haibin Chang, Dongxiao Zhang, Heng Li, 2009 .

An Integrated Approach for History Matching of Multiscale-Fractured Reservoirs

Haibin Chang, Dongxiao Zhang, Xiang Li, 2019 .

Machine learning subsurface flow equations from data

Haibin Chang, Dongxiao Zhang, Dongxiao Zhang, 2019, Computational Geosciences.

Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network pdf

Haibin Chang, Dongxiao Zhang, Nanzhe Wang, 2020, Computer Methods in Applied Mechanics and Engineering.

Image Classification Algorithm Based on Big Data and Multilabel Learning of Improved Convolutional Neural Network

Haibin Chang, Ying Cui, 2021, Wireless Communications and Mobile Computing.

Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network pdf

Haibin Chang, Dongxiao Zhang, Qinzhuo Liao, 2022, ArXiv.

Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network pdf

Haibin Chang, Dongxiao Zhang, Nanzhe Wang, 2021, J. Comput. Phys..

Data Assimilation of Coupled Fluid Flow and Geomechanics Using the Ensemble Kalman Filter

Haibin Chang, Dongxiao Zhang, Yan Chen, 2010 .

A comparative study of numerical approaches to risk assessment of contaminant transport

Haibin Chang, Liangsheng Shi, Dongxiao Zhang, 2010 .

Surrogate model based iterative ensemble smoother for subsurface flow data assimilation

Haibin Chang, Dongxiao Zhang, Qinzhuo Liao, 2017 .

History matching of statistically anisotropic fields using the Karhunen-Loeve expansion-based global parameterization technique

Haibin Chang, Dongxiao Zhang, Dongxiao Zhang, 2014, Computational Geosciences.

History matching of facies distribution with varying mean lengths or different principle correlation orientations

Haibin Chang, Dongxiao Zhang, 2014 .