activity
20222024
most citedEAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2024

Analysis of continuous data assimilation with large (or even infinite) nudging parameters

Amanda Diegel, Xuejian Li, Leo G. Rebholz

This paper considers continuous data assimilation (CDA) in partial differential equation (PDE) discretizations where nudging parameters can be taken arbitrarily large. We prove tha…

math.NA2024

Enhancing nonlinear solvers for the Navier-Stokes equations with continuous (noisy) data assimilation

Bosco Garcia-Archilla, Xuejian Li, Julia Novo +1

We consider nonlinear solvers for the incompressible, steady (or at a fixed time step for unsteady) Navier-Stokes equations in the setting where partial measurement data of the sol…

math.AP2023

Accelerating and enabling convergence of nonlinear solvers for Navier-Stokes equations by continuous data assimilation

Xuejian Li, Elizabeth V. Hawkins, Leo G. Rebholz +1

This paper considers improving the Picard and Newton iterative solvers for the Navier-Stokes equations in the setting where data measurements or solution observations are available…

math.AP2023

Uniqueness of Steady Navier-Stokes under Large Data by Continuous Data Assimilation

Xuejian Li

We propose a continuous data assimilation (CDA) method to address the uniqueness problem for steady Navier-Stokes equations(NSE). The CDA method incorporates spatial observations i…

cs.CV20223 cited

EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation

Shiqiang Ma, Xuejian Li, Jijun Tang +1

Automatic image segmentation technology is critical to the visual analysis. The autoencoder architecture has satisfying performance in various image segmentation tasks. However, au…