Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods. - Fangxin Fang; Christopher C. Pain; I. M. Navon; Ahmed H. Elsheikh; Juan Du 011; Dunhui Xiao (J. Comput. Phys., 2013)

Non-linear model reduction for the Navier-Stokes equations using residual DEIM method. - Dunhui Xiao; Fangxin Fang; Andrew G. Buchan; Christopher C. Pain; Ionel Michael Navon; Juan Du 011; G. Hu (J. Comput. Phys., 2014)

A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting. - Dunhui Xiao; Pan Yang 014; Fangxin Fang; Jiansheng Xiang; Christopher C. Pain; I. M. Navon; Min Chen (J. Comput. Phys., 2017)

A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA). - Rossella Arcucci; César Quilodrán Casas; Dunhui Xiao; Laetitia Mottet; Fangxin Fang; Pin Wu; Christopher C. Pain; Yi-Ke Guo (PARCO, 2019)

Optimal Siting of Rural Settlement Through a GIS-Based Assessment: A Case Study in China. - Chuanhua Zhu; Dunhui Xiao; QinYao Sun (SpatialDI, 2021)

Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization. - Zuyan Chen; Adam Francis; Shuai Li 002; Bolin Liao; Dunhui Xiao (CoRR, 2022)

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. - Sibo Cheng; César Quilodrán Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; et al. (IEEE CAA J. Autom. Sinica, 2023)

A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation. - Jinlong Fu; Min Wang; Bin Chen; Jinsheng Wang; Dunhui Xiao; Min Luo; Ben Evans (Eng. Comput., 2023)

Parametric Taylor series based latent dynamics identification neural networks. - Xinlei Lin; Dunhui Xiao (CoRR, 2024)

An intrinsic integrity-driven rating model for a sustainable reputation system. - Haibao Wen; Shengmin Sun; Tao Huang; Dunhui Xiao (Expert Syst. Appl., 2024)

Domain decomposition for physics-data combined neural network based parametric reduced order modelling. - Xinyu Pan; Dunhui Xiao (J. Comput. Phys., 2024)

Investigation of phase-field models of tumor growth based on a reduced-order meshless Galerkin method. - Mostafa Abbaszadeh; Mehdi Dehghan 002; Dunhui Xiao (Eng. Comput., 2024)

Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation. - Huangxin Chen; Yuxiang Chen; Jisheng Kou; Shuyu Sun 003; Dunhui Xiao; Xuejun Xu; Haitao Yu; Tao Zhang; Xiaoying Zhuang (ICCS (3), 2025)

Fractal-constrained deep learning for super-resolution of turbulence with zero or few label data. - Jiaxin Wu; Min Luo; Boo Cheong Khoo; Dunhui Xiao; Pengzhi Lin (Comput. Phys. Commun., 2025)

Nonlinear model order reduction of engineering turbulence using data-assisted neural networks. - Chuanhua Zhu; Jinlong Fu; Dunhui Xiao; Jinsheng Wang (Comput. Phys. Commun., 2025)

Machine learning for modelling unstructured grid data in computational physics: A review. - Sibo Cheng; Marc Bocquet; Weiping Ding 001; Tobias Sebastian Finn; Rui Fu; Jinlong Fu; Yike Guo; Eleda Johnson; Siyi Li; Che Liu; Eric Newton Moro; Jie Pan 007; et al. (Inf. Fusion, 2025)

A reduced-order least squares-support vector regression and isogeometric collocation method to simulate Cahn-Hilliard-Navier-Stokes equation. - Mostafa Abbaszadeh; Amirreza Khodadadian; Maryam Parvizi; Mehdi Dehghan 002; Dunhui Xiao (J. Comput. Phys., 2025)

Nonlinear Model Reduction by Probabilistic Manifold Decomposition. - Jiaming Guo; Dunhui Xiao (CoRR, 2025)