Optimal low-dispersion low-dissipation LBM schemes for computational aeroacoustics. - Hui Xu 005; Pierre Sagaut (J. Comput. Phys., 2011)

Sensitivity analysis and determination of free relaxation parameters for the weakly-compressible MRT-LBM schemes. - Hui Xu 005; Orestis Malaspinas; Pierre Sagaut (J. Comput. Phys., 2012)

Some iterative finite element methods for steady Navier-Stokes equations with different viscosities. - Hui Xu 005; Yinnian He (J. Comput. Phys., 2013)

Analysis of the absorbing layers for the weakly-compressible lattice Boltzmann methods. - Hui Xu 005; Pierre Sagaut (J. Comput. Phys., 2013)

Two-Level Newton's Method for Nonlinear Elliptic PDEs. - Yinnian He; Yan Zhang 024; Hui Xu 005 (J. Sci. Comput., 2013)

Nektar++: An open-source spectral/hp element framework. - Chris D. Cantwell; David Moxey; Andrew Comerford; Alessandro Bolis; Gabriele Rocco; Gianmarco Mengaldo; Daniele De Grazia; Sergey Yakovlev; Jean-Eloise Lombard; Dirk Ekelschot; Bastien Jordi; Hui Xu 005; et al. (Comput. Phys. Commun., 2015)

First-Order Decoupled Finite Element Method of the three-Dimensional Primitive Equations of the Ocean. - Yinnian He; Yan Zhang 024; Hui Xu 005; Zhangxin Chen (SIAM J. Sci. Comput., 2016)

Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods. - David Moxey; Chris D. Cantwell; Yan Bao; Andrea Cassinelli; Giacomo Castiglioni; Sehun Chun; Emilia Juda; Ehsan Kazemi 002; Kilian Lackhove; Julian Marcon; Gianmarco Mengaldo; Douglas Serson; et al. (CoRR, 2019)

Nektar++: Enhancing the capability and application of high-fidelity spectral/hp element methods. - David Moxey; Chris D. Cantwell; Yan Bao; Andrea Cassinelli; Giacomo Castiglioni; Sehun Chun; Emilia Juda; Ehsan Kazemi 002; Kilian Lackhove; Julian Marcon; Gianmarco Mengaldo; Douglas Serson; et al. (Comput. Phys. Commun., 2020)

A non-intrusive neural network model order reduction algorithm for parameterized parabolic PDEs. - Tao Zhang; Hui Xu 005; Lei Guo; Xinlong Feng (Comput. Math. Appl., 2022)

Improved Deep Neural Networks with Domain Decomposition in Solving Partial Differential Equations. - Wei Wu; Xinlong Feng; Hui Xu 005 (J. Sci. Comput., 2022)

Physics-informed neural networks combined with polynomial interpolation to solve nonlinear partial differential equations. - Siping Tang; Xinlong Feng; Wei Wu; Hui Xu 005 (Comput. Math. Appl., 2023)

K-AirWrite: Real-Time Continuous Air Handwriting Recognition Using Kinect. - Zhixiong Yang 003; Ziyi Zhen; Hui Xu 005; Xinlong Feng (IEEE Trans. Instrum. Meas., 2025)

RF-UI: Continuous User Identification Through Gaits Using RFID. - Zhixiong Yang 003; Ziyi Zhen; Hui Xu 005; Yajun Zhang; Xinlong Feng (IEEE Trans. Cogn. Commun. Netw., 2025)