Zuoqiang Shi

Orcid: 0000-0002-9122-0302

According to our database1, Zuoqiang Shi authored at least 70 papers between 2008 and 2024.

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

Timeline

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Bibliography

2024
NSNO: Neumann Series Neural Operator for Solving Helmholtz Equations in Inhomogeneous Medium.
J. Syst. Sci. Complex., April, 2024

Diffusion Mechanism in Residual Neural Network: Theory and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks.
CoRR, 2024

Nonlocal Stokes equation with relaxation on the divergence free equation.
CoRR, 2024

A Second-Order Nonlocal Approximation to Manifold Poisson Models with Neumann Boundary.
CoRR, 2024

Winding Clearness for Differentiable Point Cloud Optimization.
CoRR, 2024

Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay.
CoRR, 2024

2023
Alternately denoising and reconstructing unoriented point sets.
Comput. Graph., November, 2023

A Scalable Deep Learning Approach for Solving High-Dimensional Dynamic Optimal Transport.
SIAM J. Sci. Comput., August, 2023

Point normal orientation and surface reconstruction by incorporating isovalue constraints to Poisson equation.
Comput. Aided Geom. Des., June, 2023

Surface Reconstruction from Point Clouds without Normals by Parametrizing the Gauss Formula.
ACM Trans. Graph., April, 2023

Efficient numerical simulation of Cahn-Hilliard type models by a dimension splitting method.
Comput. Math. Appl., April, 2023

Neural Born Series Operator for Biomedical Ultrasound Computed Tomography.
CoRR, 2023

Reconstruction of dynamical systems from data without time labels.
CoRR, 2023

Nonlocal diffusion model with maximum principle.
CoRR, 2023

Addressing preferred orientation in single-particle cryo-EM through AI-generated auxiliary particles.
CoRR, 2023

Γ-convergence of Nonlocal Dirichlet Energies With Penalty Formulations of Dirichlet Boundary Data.
CoRR, 2023

Non-Line-of-Sight Imaging with Signal Superresolution Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Few-Shot Non-Line-of-Sight Imaging with Signal-Surface Collaborative Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Point Normal Orientation and Surface Reconstruction by Incorporating Isovalue Constraints to Poisson Equation.
CoRR, 2022

Semi-Supervised Clustering via Dynamic Graph Structure Learning.
CoRR, 2022

BI-GreenNet: Learning Green's functions by boundary integral network.
CoRR, 2022

Unsupervised Deep Learning Meets Chan-Vese Model.
CoRR, 2022

A nonlocal Stokes system with volume constraints.
CoRR, 2022

Truncation Error Analysis for an Accurate Nonlocal Manifold Poisson Model with Dirichlet Boundary.
CoRR, 2022

A non-local gradient based approach of infinity Laplacian with Γ-convergence.
CoRR, 2022

Learning modified indicator functions for surface reconstruction.
Comput. Graph., 2022

M2N: Mesh Movement Networks for PDE Solvers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2021

Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization.
CoRR, 2021

BINet: Learning to Solve Partial Differential Equations with Boundary Integral Networks.
CoRR, 2021

Diff-ResNets for Few-shot Learning - an ODE Perspective.
CoRR, 2021

A Second-Order Nonlocal Approximation for Surface Poisson Model with Dirichlet Boundary.
CoRR, 2021

An Unsupervised Deep Learning Approach for Real-World Image Denoising.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
EnResNet: ResNets Ensemble via the Feynman-Kac Formalism for Adversarial Defense and Beyond.
SIAM J. Math. Data Sci., 2020

CURE: Curvature Regularization for Missing Data Recovery.
SIAM J. Imaging Sci., 2020

Discontinuous Galerkin methods for the Laplace-Beltrami operator on point cloud.
CoRR, 2020

Task-Oriented Feature Distillation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Interpolation between Residual and Non-Residual Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Auxiliary Training: Towards Accurate and Robust Models.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Surface Reconstruction Based on the Modified Gauss Formula.
ACM Trans. Graph., 2019

Group-Sparsity-Based Super-Resolution Dipole Orientation Mapping.
IEEE Trans. Medical Imaging, 2019

ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Harmonic Extension on The Point Cloud.
Multiscale Model. Simul., 2018

Generalization of the Weighted Nonlocal Laplacian in Low Dimensional Manifold Model.
J. Sci. Comput., 2018

EnResNet: ResNet Ensemble via the Feynman-Kac Formalism.
CoRR, 2018

Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization.
CoRR, 2018

Deep Learning with Data Dependent Implicit Activation Function.
CoRR, 2018

Weighted Nonlocal Total Variation in Image Processing.
CoRR, 2018

Scalable Low Dimensional Manifold Model In The Reconstruction Of Noisy And Incomplete Hyperspectral Images.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Deep Neural Nets with Interpolating Function as Output Activation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Low Dimensional Manifold Model for Image Processing.
SIAM J. Imaging Sci., 2017

Weighted Nonlocal Laplacian on Interpolation from Sparse Data.
J. Sci. Comput., 2017

Notes: A Continuous Model of Neural Networks. Part I: Residual Networks.
CoRR, 2017

Deep Residual Learning and PDEs on Manifold.
CoRR, 2017

Sparse Time-Frequency Decomposition for Multiple Signals with Same Frequencies.
Adv. Data Sci. Adapt. Anal., 2017

2016
A Convergent Point Integral Method for Isotropic Elliptic Equations on a Point Cloud.
Multiscale Model. Simul., 2016

Low dimensional manifold model in hyperspectral image reconstruction.
CoRR, 2016

A Harmonic Extension Approach for Collaborative Ranking.
CoRR, 2016

2015
On the Uniqueness of Sparse Time-Frequency Representation of Multiscale Data.
Multiscale Model. Simul., 2015

Harmonic Extension.
CoRR, 2015

Convergence of Laplacian spectra from random samples.
CoRR, 2015

Extracting a shape function for a signal with intra-wave frequency modulation.
CoRR, 2015

2014
Extraction of Intrawave Signals Using the Sparse Time-Frequency Representation Method.
Multiscale Model. Simul., 2014

2013
Convergence of a data-driven time-frequency analysis method
CoRR, 2013

Sparse Time Frequency Representations and Dynamical Systems.
CoRR, 2013

Sparse Time-Frequency decomposition by adaptive basis pursuit.
CoRR, 2013

2011
Adaptive Data Analysis via Sparse Time-Frequency Representation.
Adv. Data Sci. Adapt. Anal., 2011

2008
Removing the stiffness of elastic force from the immersed boundary method for the 2D Stokes equations.
J. Comput. Phys., 2008

An efficient semi-implicit immersed boundary method for the Navier-Stokes equations.
J. Comput. Phys., 2008


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