Department of Mathematics - CUHK Research Portal - CONVERIS Research Information System

Department of Mathematics

Country/Region

Hong Kong

Researcher

1 of 9

Research Outputs

1 of 36

A conservative hybrid deep learning method for Maxwell-Ampère-Nernst-Planck equations 2024)

A Generalized Beale–Kato–Majda Breakdown Criterion for the Free-Boundary Problem in Euler Equations with Surface Tension 2024)

An adaptive phase-field method for structural topology optimization 2024)

A Nakai–Moishezon Type criterion for supercritical deformed Hermitian–Yang–Mills equation 2024)

An Efficient Multiscale Preconditioner for Large-Scale Highly Heterogeneous Flow 2024)

Asymptotic analysis for a nonlinear reaction–diffusion system modeling an infectious disease 2024)

Asymptotic Compatibility of a Class of Numerical Schemes for a Nonlocal Traffic Flow Model 2024)

A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution 2024)

A Variational Model for Nonuniform Low-Light Image Enhancement 2024)

BearingPGA-Net: A lightweight and deployable bearing fault diagnosis network via decoupled knowledge distillation and FPGA acceleration 2024)

Bijective Density-Equalizing Quasiconformal Map for Multiply Connected Open Surfaces 2024)

Blind Image Deblurring: When Patch-wise Minimal Pixels Prior Meets Fractional-Order Method 2024)

Classification of Childhood Obstructive Sleep Apnea based on X-ray images analysis by Quasi-conformal Geometry 2024)

Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks 2024)

Detachable image decomposition and illumination mapping search for low-light image enhancement 2024)

Discrete-Time Approximation of Stochastic Optimal Control with Partial Observation 2024)

Double Transformer Super-Resolution for Breast Cancer ADC Images 2024)

DQDG: Data-Free Quantization With Dual Generators for Keyword Spotting 2024)

Enhanced dual contrast representation learning with cell separation and merging for breast cancer diagnosis 2024)

Fast ellipsoidal conformal and quasi-conformal parameterization of genus-0 closed surfaces 2024)

FEFA: Frequency Enhanced Multi-Modal MRI Reconstruction with Deep Feature Alignment 2024)

Few sampling meshes-based 3D tooth segmentation via region-aware graph convolutional network 2024)

Finding robust minimizer for non-convex phase retrieval 2024)

Global behavior of small data solutions for the 2D Dirac-Klein-Gordon system 2024)

HFGN: High-Frequency residual Feature Guided Network for fast MRI reconstruction 2024)

In Vivo Microrheology Reveals Local Elastic and Plastic Responses Inside 3D Bacterial Biofilms 2024)

Local well-posedness of the free-boundary incompressible magnetohydrodynamics with surface tension 2024)

Long-time dynamics of classical Keller–Segel equation 2024)

Low-light Image Enhancement via Dual Reflectance Estimation 2024)

Medical image reconstruction with multi-level deep learning denoiser and tight frame regularization 2024)

Monotonicity of the p-Green Functions 2024)

Numerical recovery of a time-dependent potential in subdiffusion 2024)

On a neural network approach for solving potential control problem of the semiclassical Schrödinger equation 2024)

On the approximation of bi-Lipschitz maps by invertible neural networks 2024)

Ricci Flow Under Kato-Type Curvature Lower Bound 2024)

Scene recovery: Combining visual enhancement and resolution improvement 2024)

Score-Based Generative Models for PET Image Reconstruction 2024)

Self-supervised multi-scale neural network for blind deblurring 2024)

Small scale creation for 2D free boundary Euler equations with surface tension 2024)

Solving inverse obstacle scattering problem with latent surface representations 2024)

Time multiscale regularization for nonlinear image registration 2024)

Variational Low-Light Image Enhancement Based on Fractional-Order Differential 2024)

3D PET-DIP Reconstruction with Relative Difference Prior Using a SIRF-Based Objective 2023)

Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation 2023)

A family of immersed finite element spaces and applications to three dimensional H(curl) interface problems. 2023)

A hybrid data-driven-physics-constrained Gaussian process regression framework with deep kernel for uncertainty quantification 2023)

A locally conservative multiscale method for stochastic highly heterogeneous flow 2023)

An exit contract optimization problem 2023)

An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction 2023)

Application of Variational AutoEncoder (VAE) Model and Image Processing Approaches in Game Design 2023)

Share Link

Our policy towards the use of cookies