Lili Ju
Orcid: 0000-0002-6520-582X
According to our database1,
Lili Ju
authored at least 107 papers
between 2002 and 2024.
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Bibliography
2024
J. Sci. Comput., April, 2024
A novel vertex-centered finite volume method for solving Richards' equation and its adaptation to local mesh refinement.
J. Comput. Phys., March, 2024
A deep learning method for the dynamics of classic and conservative Allen-Cahn equations based on fully-discrete operators.
J. Comput. Phys., January, 2024
Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure.
CoRR, 2024
A novel bond-based nonlocal diffusion model with matrix-valued coefficients in non-divergence form and its collocation discretization.
CoRR, 2024
2023
Second-Order Semi-Lagrangian Exponential Time Differencing Method with Enhanced Error Estimate for the Convective Allen-Cahn Equation.
J. Sci. Comput., October, 2023
Efficient Exponential Integrator Finite Element Method for Semilinear Parabolic Equations.
SIAM J. Sci. Comput., August, 2023
Level Set Learning with Pseudoreversible Neural Networks for Nonlinear Dimension Reduction in Function Approximation.
SIAM J. Sci. Comput., June, 2023
A linear second-order maximum bound principle-preserving BDF scheme for the Allen-Cahn equation with a general mobility.
Math. Comput., June, 2023
A One-Stage Domain Adaptation Network With Image Alignment for Unsupervised Nighttime Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
J. Sci. Comput., 2023
Operator splitting based structure-preserving numerical schemes for the mass-conserving convective Allen-Cahn equation.
J. Comput. Phys., 2023
A linear doubly stabilized Crank-Nicolson scheme for the Allen-Cahn equation with a general mobility.
CoRR, 2023
Deep surrogate model for learning Green's function associated with linear reaction-diffusion operator.
CoRR, 2023
Energy-dissipative spectral renormalization exponential integrator method for gradient flow problems.
CoRR, 2023
CoRR, 2023
2022
SIAM J. Numer. Anal., August, 2022
Stabilized Exponential-SAV Schemes Preserving Energy Dissipation Law and Maximum Bound Principle for The Allen-Cahn Type Equations.
J. Sci. Comput., 2022
Conservative Numerical Schemes with Optimal Dispersive Wave Relations: Part II. Numerical Evaluations.
J. Sci. Comput., 2022
Trace transfer-based diagonal sweeping domain decomposition method for the Helmholtz equation: Algorithms and convergence analysis.
J. Comput. Phys., 2022
High-order multirate explicit time-stepping schemes for the baroclinic-barotropic split dynamics in primitive equations.
J. Comput. Phys., 2022
Low regularity integrators for semilinear parabolic equations with maximum bound principles.
CoRR, 2022
Stabilized exponential time differencing schemes for the convective Allen-Cahn equation.
CoRR, 2022
Learning Green’s Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver.
Proceedings of the Mathematical and Scientific Machine Learning, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic Segmentation?
Proceedings of the Computer Vision - ECCV 2022, 2022
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Stabilized Integrating Factor Runge-Kutta Method and Unconditional Preservation of Maximum Bound Principle.
SIAM J. Sci. Comput., 2021
Maximum Bound Principles for a Class of Semilinear Parabolic Equations and Exponential Time-Differencing Schemes.
SIAM Rev., 2021
Conservative numerical schemes with optimal dispersive wave relations: Part I. Derivation and analysis.
Numerische Mathematik, 2021
DeepFusion: A simple way to improve traditional multi-view stereo methods using deep learning.
Knowl. Based Syst., 2021
Unconditionally Maximum Bound Principle Preserving Linear Schemes for the Conservative Allen-Cahn Equation with Nonlocal Constraint.
J. Sci. Comput., 2021
Maximum bound principle preserving integrating factor Runge-Kutta methods for semilinear parabolic equations.
J. Comput. Phys., 2021
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximation.
CoRR, 2021
CoRR, 2021
Unconditionally stable exponential time differencing schemes for the mass-conserving Allen-Cahn equation with nonlocal and local effects.
CoRR, 2021
CoRR, 2021
Learning Green's Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver.
CoRR, 2021
Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations.
CoRR, 2021
Proceedings of the Mathematical and Scientific Machine Learning, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Math. Comput., 2020
Nonoverlapping Localized Exponential Time Differencing Methods for Diffusion Problems.
J. Sci. Comput., 2020
A space-time adaptive finite element method with exponential time integrator for the phase field model of pitting corrosion.
J. Comput. Phys., 2020
An efficient second-order linear scheme for the phase field model of corrosive dissolution.
J. Comput. Appl. Math., 2020
A diagonal sweeping domain decomposition method with trace transfer for the Helmholtz equation.
CoRR, 2020
A diagonal sweeping domain decomposition method with source transfer for the Helmholtz equation.
CoRR, 2020
A spectral collocation method for nonlocal diffusion equations with volume constrained boundary conditions.
Appl. Math. Comput., 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-Based ConvLSTM.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
SIAM J. Sci. Comput., 2019
Maximum Principle Preserving Exponential Time Differencing Schemes for the Nonlocal Allen-Cahn Equation.
SIAM J. Numer. Anal., 2019
A discontinuous Galerkin method for one-dimensional time-dependent nonlocal diffusion problems.
Math. Comput., 2019
A Stabilized Semi-Implicit Euler Gauge-Invariant Method for the Time-Dependent Ginzburg-Landau Equations.
J. Sci. Comput., 2019
Analysis of Fully Discrete Approximations for Dissipative Systems and Application to Time-Dependent Nonlocal Diffusion Problems.
J. Sci. Comput., 2019
A fast compact time integrator method for a family of general order semilinear evolution equations.
J. Comput. Phys., 2019
J. Comput. Phys., 2019
A fast compact exponential time differencing method for semilinear parabolic equations with Neumann boundary conditions.
Appl. Math. Lett., 2019
Multi-Video Temporal Synchronization by Matching Pose Features of Shared Moving Subjects.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Energy stability and error estimates of exponential time differencing schemes for the epitaxial growth model without slope selection.
Math. Comput., 2018
Unconditionally Energy Stable Linear Schemes for the Diffuse Interface Model with Peng-Robinson Equation of State.
J. Sci. Comput., 2018
Fast spherical centroidal Voronoi mesh generation: A Lloyd-preconditioned LBFGS method in parallel.
J. Comput. Phys., 2018
J. Comput. Phys., 2018
J. Comput. Phys., 2018
Comput. Math. Appl., 2018
2016
Fast High-Order Compact Exponential Time Differencing Runge-Kutta Methods for Second-Order Semilinear Parabolic Equations.
J. Sci. Comput., 2016
J. Comput. Phys., 2016
Efficient and stable exponential time differencing Runge-Kutta methods for phase field elastic bending energy models.
J. Comput. Phys., 2016
Comput. Math. Appl., 2016
Extreme-scale phase field simulations of coarsening dynamics on the sunway taihulight supercomputer.
Proceedings of the International Conference for High Performance Computing, 2016
2015
Multiscale Superpixels and Supervoxels Based on Hierarchical Edge-Weighted Centroidal Voronoi Tessellation.
IEEE Trans. Image Process., 2015
J. Sci. Comput., 2015
2014
Finite element three-dimensional Stokes ice sheet dynamics model with enhanced local mass conservation.
J. Comput. Phys., 2014
Edge-Weighted Centroid Voronoi Tessellation with Propagation of Consistency Constraint for 3D Grain Segmentation in Microscopic Superalloy Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
3D Superalloy Grain Segmentation Using a Multichannel Edge-Weighted Centroidal Voronoi Tessellation Algorithm.
IEEE Trans. Image Process., 2013
A posteriori error analysis of finite element method for linear nonlocal diffusion and peridynamic models.
Math. Comput., 2013
2012
Covolume-upwind finite volume approximations for linear elliptic partial differential equations.
J. Comput. Phys., 2012
Comput. Math. Appl., 2012
Grain Segmentation of 3D Superalloy Images Using Multichannel EWCVT under Human Annotation Constraints.
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
Image Segmentation Using Local Variation and Edge-Weighted Centroidal Voronoi Tessellations.
IEEE Trans. Image Process., 2011
A Multichannel Edge-Weighted Centroidal Voronoi Tessellation algorithm for 3D super-alloy image segmentation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
SIAM J. Numer. Anal., 2010
2009
IEEE Trans. Image Process., 2009
Comput. Geom., 2009
3D open-surface shape correspondence for statistical shape modeling: Identifying topologically consistent landmarks.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009
2008
SIAM J. Numer. Anal., 2008
2006
Adaptive Finite Element Methods for Elliptic PDEs Based on Conforming Centroidal Voronoi-Delaunay Triangulations.
SIAM J. Sci. Comput., 2006
SIAM J. Numer. Anal., 2006
Centroidal Voronoi Tessellation Algorithms for Image Compression, Segmentation, and Multichannel Restoration.
J. Math. Imaging Vis., 2006
A numerical method for exact boundary controllability problems for the wave equation.
Comput. Math. Appl., 2006
2005
SIAM J. Numer. Anal., 2005
NeuroImage, 2005
Approximations of a Ginzburg-Landau model for superconducting hollow spheres based on spherical centroidal Voronoi tessellations.
Math. Comput., 2005
2004
Cortical Surface Flattening Using Least Square Conformal Mapping with Minimal Metric Distortion.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
2003
SIAM J. Sci. Comput., 2003
Concurr. Comput. Pract. Exp., 2003
2002
Probabilistic methods for centroidal Voronoi tessellations and their parallel implementations.
Parallel Comput., 2002