Rongjie Lai

Orcid: 0000-0002-3125-3321

According to our database1, Rongjie Lai authored at least 63 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
TART: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training.
CoRR, 2024

Unsupervised Solution Operator Learning for Mean-Field Games via Sampling-Invariant Parametrizations.
CoRR, 2024

Emulating Complex Synapses Using Interlinked Proton Conductors.
CoRR, 2024

Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning.
CoRR, 2024

2023
Computational mean-field games on manifolds.
J. Comput. Phys., July, 2023

A fast proximal gradient method and convergence analysis for dynamic mean field planning.
Math. Comput., June, 2023

Quasi-Equivalence between Width and Depth of Neural Networks.
J. Mach. Learn. Res., 2023

Bridging mean-field games and normalizing flows with trajectory regularization.
J. Comput. Phys., 2023

Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness.
CoRR, 2023

2022
Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data.
SIAM J. Imaging Sci., 2022

NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Networks on Point Clouds.
J. Sci. Comput., 2022

Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders.
CoRR, 2022

Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization.
CoRR, 2022

Learning Geometrically Disentangled Representations of Protein Folding Simulations.
CoRR, 2022

Manifoldron: Direct Space Partition via Manifold Discovery.
CoRR, 2022

2021
Nonisometric Surface Registration via Conformal Laplace-Beltrami Basis Pursuit.
J. Sci. Comput., 2021

Generalized unnormalized optimal transport and its fast algorithms.
J. Comput. Phys., 2021

Expressivity and Trainability of Quadratic Networks.
CoRR, 2021

A Data-Driven Approach to Functional Map Construction and Bases Pursuit.
Comput. Graph. Forum, 2021

A Dual Iterative Refinement Method for Non-Rigid Shape Matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Unsupervised Geometric Disentanglement for Surfaces via CFAN-VAE.
CoRR, 2020

Optimizing Mode Connectivity via Neuron Alignment.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Exact Reconstruction of Euclidean Distance Geometry Problem Using Low-Rank Matrix Completion.
IEEE Trans. Inf. Theory, 2019

Triangulated Surface Denoising using High Order Regularization with Dynamic Weights.
SIAM J. Sci. Comput., 2019

Global Optimization with Orthogonality Constraints via Stochastic Diffusion on Manifold.
J. Sci. Comput., 2019

Chart Auto-Encoders for Manifold Structured Data.
CoRR, 2019

Shape Analysis via Functional Map Construction and Bases Pursuit.
CoRR, 2019

NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds.
CoRR, 2019

2018
Point Cloud Discretization of Fokker-Planck Operators for Committor Functions.
Multiscale Model. Simul., 2018

Manifold Based Low-Rank Regularization for Image Restoration and Semi-Supervised Learning.
J. Sci. Comput., 2018

Low-rank Matrix Completion in a General Non-orthogonal Basis.
CoRR, 2018

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator.
CoRR, 2018

Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds.
CoRR, 2018

Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Solving Partial Differential Equations on Manifolds From Incomplete Interpoint Distance.
SIAM J. Sci. Comput., 2017

Multiscale Nonrigid Point Cloud Registration Using Rotation-Invariant Sliced-Wasserstein Distance via Laplace-Beltrami Eigenmap.
SIAM J. Imaging Sci., 2017

Solve Partial Differential Equations on Manifold From Incomplete Inter-Point Distance.
CoRR, 2017

CT Image Reconstruction in a Low Dimensional Manifold.
CoRR, 2017

2016
Localized density matrix minimization and linear-scaling algorithms.
J. Comput. Phys., 2016

2014
Metric Optimization for Surface Analysis in the Laplace-Beltrami Embedding Space.
IEEE Trans. Medical Imaging, 2014

Folding-Free Global Conformal Mapping for Genus-0 Surfaces by Harmonic Energy Minimization.
J. Sci. Comput., 2014

A Splitting Method for Orthogonality Constrained Problems.
J. Sci. Comput., 2014

Estimation of parameters in a distributed parameter model for thin film layered organic photovoltaic cells.
Proceedings of the American Control Conference, 2014

2013
Cortical Surface Reconstruction via Unified Reeb Analysis of Geometric and Topological Outliers in Magnetic Resonance Images.
IEEE Trans. Medical Imaging, 2013

Adaptive Directional Total-Variation Model for Latent Fingerprint Segmentation.
IEEE Trans. Inf. Forensics Secur., 2013

A Ridge and Corner Preserving Model for Surface Restoration.
SIAM J. Sci. Comput., 2013

Conformal Mapping via Metric Optimization with Application for Cortical Label Fusion.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
Efficient Algorithm for Level Set Method Preserving Distance Function.
IEEE Trans. Image Process., 2012

Unified Geometry and Topology Correction for Cortical Surface Reconstruction with Intrinsic Reeb Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Latent fingerprint detection and segmentation with a directional total variation model.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Latent fingerprint segmentation with adaptive total variation model.
Proceedings of the 5th IAPR International Conference on Biometrics, 2012

Geometric understanding of point clouds using Laplace-Beltrami operator.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
A framework for intrinsic image processing on surfaces.
Comput. Vis. Image Underst., 2011

Conformal Metric Optimization on Surface (CMOS) for Deformation and Mapping in Laplace-Beltrami Embedding Space.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

CoRPORATE: Cortical Reconstruction by Pruning Outliers with Reeb Analysis and Topology-Preserving Evolution.
Proceedings of the Information Processing in Medical Imaging, 2011

Automated corpus callosum extraction via Laplace-Beltrami nodal parcellation and intrinsic geodesic curvature flows on surfaces.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Robust Surface Reconstruction via Laplace-Beltrami Eigen-Projection and Boundary Deformation.
IEEE Trans. Medical Imaging, 2010

Automated Sulci Identification via Intrinsic Modeling of Cortical Anatomy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Metric-induced optimal embedding for intrinsic 3D shape analysis.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Laplace-Beltrami Nodal Counts: A New Signature for 3D Shape Analysis.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Harmonic Surface Mapping with Laplace-Beltrami Eigenmaps.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Anisotropic Laplace-Beltrami eigenmaps: Bridging Reeb graphs and skeletons.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008


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