Tieyong Zeng
Orcid: 0000-0002-0688-202X
According to our database1,
Tieyong Zeng
authored at least 183 papers
between 2006 and 2024.
Collaborative distances:
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Bibliography
2024
Image Segmentation Using Bayesian Inference for Convex Variant Mumford-Shah Variational Model.
SIAM J. Imaging Sci., March, 2024
SIAM J. Imaging Sci., March, 2024
A conservative hybrid deep learning method for Maxwell-Ampère-Nernst-Planck equations.
J. Comput. Phys., March, 2024
IEEE J. Biomed. Health Informatics, February, 2024
J. Sci. Comput., February, 2024
Detachable image decomposition and illumination mapping search for low-light image enhancement.
J. Comput. Appl. Math., January, 2024
Comput. Biol. Medicine, January, 2024
IEEE Trans. Multim., 2024
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration.
IEEE Trans. Instrum. Meas., 2024
Deep Multi-Dictionary Learning for Survival Prediction With Multi-Zoom Histopathological Whole Slide Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution.
Patterns, 2024
Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration.
CoRR, 2024
Edge-guided Low-light Image Enhancement with Inertial Bregman Alternating Linearized Minimization.
CoRR, 2024
Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution.
CoRR, 2024
VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light Enhancement and Denoising.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Signal Process., December, 2023
Remote. Sens., December, 2023
A reflectance re-weighted Retinex model for non-uniform and low-light image enhancement.
Pattern Recognit., December, 2023
J. Comput. Appl. Math., December, 2023
Comput. Appl. Math., December, 2023
IEEE J. Biomed. Health Informatics, November, 2023
Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification.
IEEE J. Biomed. Health Informatics, November, 2023
Single-particle reconstruction in cryo-EM based on three-dimensional weighted nuclear norm minimization.
Pattern Recognit., November, 2023
Comput. Vis. Image Underst., November, 2023
Learning Common and Task-Specific Radiomic Features via Graph Regularized NMF for the Joint Prediction of Multiple Clinical Indicators in Breast Cancer.
IEEE J. Biomed. Health Informatics, October, 2023
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks.
SIAM J. Imaging Sci., September, 2023
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
IEEE Trans. Medical Imaging, June, 2023
IEEE Trans. Circuits Syst. Video Technol., April, 2023
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
IEEE Trans. Multim., 2023
IEEE Trans. Multim., 2023
IEEE Trans. Image Process., 2023
Low-Light Image Enhancement via Implicit Priors Regularized Illumination Optimization.
IEEE Trans. Computational Imaging, 2023
Gradient Prior Dilated Convolution Network for Remote Sensing Image Super-Resolution.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation.
Signal Process., 2023
A hybrid data-driven-physics-constrained Gaussian process regression framework with deep kernel for uncertainty quantification.
J. Comput. Phys., 2023
Proximal linearized alternating direction method of multipliers algorithm for nonconvex image restoration with impulse noise.
IET Image Process., 2023
A conservative hybrid physics-informed neural network method for Maxwell-Ampère-Nernst-Planck equations.
CoRR, 2023
VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation.
CoRR, 2023
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration.
CoRR, 2023
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees.
CoRR, 2023
One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Quaternion-Based Dictionary Learning and Saturation-Value Total Variation Regularization for Color Image Restoration.
IEEE Trans. Multim., 2022
An O-Shape Neural Network With Attention Modules to Detect Junctions in Biomedical Images Without Segmentation.
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Signal Process. Lett., 2022
Signal Process., 2022
SIAM J. Imaging Sci., 2022
Pattern Recognit., 2022
Pattern Recognit., 2022
Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds.
Optim. Lett., 2022
Efficient Color Image Segmentation via Quaternion-based L<sub>1/L<sub>2</sub></sub> Regularization.
J. Sci. Comput., 2022
Preconditioned Three-Operator Splitting Algorithm with Applications to Image Restoration.
J. Sci. Comput., 2022
A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications.
Neurocomputing, 2022
Adjustable super-resolution network via deep supervised learning and progressive self-distillation.
Neurocomputing, 2022
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework.
CoRR, 2022
Uncertainty-Aware Unsupervised Image Deblurring with Deep Priors Guided by Domain Knowledge.
CoRR, 2022
Spherical Image Inpainting with Frame Transformation and Data-driven Prior Deep Networks.
CoRR, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Remote Sensing Image Super-Resolution via Dilated Convolution Network with Gradient Prior.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Graph Laplacian Regularized Spectral-Spatial-Sparse Unmixing for Hyperspectral Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
A Graph-Based Dual Convolutional Network for Automatic Road Extraction from High Resolution Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Automatic Repair of 3-D Neuron Reconstruction Based on Topological Feature Points and an MOST-Based Repairer.
IEEE Trans. Instrum. Meas., 2021
Crossover Structure Separation With Application to Neuron Tracing in Volumetric Images.
IEEE Trans. Instrum. Meas., 2021
IEEE Signal Process. Lett., 2021
Adaptive total variation based image segmentation with semi-proximal alternating minimization.
Signal Process., 2021
SIAM J. Sci. Comput., 2021
Knowl. Based Syst., 2021
Local distribution-based adaptive minority oversampling for imbalanced data classification.
Neurocomputing, 2021
Inhomogeneous image segmentation based on local constant and global smoothness priors.
Digit. Signal Process., 2021
From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution.
CoRR, 2021
CoRR, 2021
A deep neural network approach on solving the linear transport model under diffusive scaling.
CoRR, 2021
Image restoration based on fractional-order model with decomposition: texture and cartoon.
Comput. Appl. Math., 2021
Two-stage image segmentation based on nonconvex ℓ2-ℓp approximation and thresholding.
Appl. Math. Comput., 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
IEEE Trans. Vis. Comput. Graph., 2020
IEEE Trans. Multim., 2020
IEEE Trans. Image Process., 2020
Deep Multi-Level Wavelet-CNN Denoiser Prior for Restoring Blurred Image With Cauchy Noise.
IEEE Signal Process. Lett., 2020
Signal Process., 2020
Signal Process., 2020
A Three-Stage Variational Image Segmentation Framework Incorporating Intensity Inhomogeneity Information.
SIAM J. Imaging Sci., 2020
Constrained Total Variation Based Three-Dimension Single Particle Reconstruction in Cryogenic Electron Microscopy.
J. Sci. Comput., 2020
Comput. Vis. Image Underst., 2020
Comput. Medical Imaging Graph., 2020
A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise.
IEEE Access, 2020
2019
Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation.
SIAM J. Sci. Comput., 2019
J. Sci. Comput., 2019
J. Sci. Comput., 2019
Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points.
CoRR, 2019
CoRR, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm.
SIAM J. Imaging Sci., 2018
Weighted variational model for selective image segmentation with application to medical images.
Pattern Recognit., 2018
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation.
CoRR, 2018
2017
J. Sci. Comput., 2017
A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT).
J. Sci. Comput., 2017
J. Math. Imaging Vis., 2017
2016
Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization.
SIAM J. Sci. Comput., 2016
SIAM J. Imaging Sci., 2016
J. Sci. Comput., 2016
2015
SIAM J. Imaging Sci., 2015
A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing.
SIAM J. Imaging Sci., 2015
J. Math. Imaging Vis., 2015
Total Variation Restoration of Images Corrupted by Poisson Noise with Iterated Conditional Expectations.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
2014
IEEE Trans. Signal Process., 2014
IEEE Trans. Image Process., 2014
SIAM J. Imaging Sci., 2014
A Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise.
SIAM J. Imaging Sci., 2014
A Two-Stage Image Segmentation Method Using Euler's Elastica Regularized Mumford-Shah Model.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
IEEE Trans. Medical Imaging, 2013
IEEE Trans. Image Process., 2013
SIAM J. Sci. Comput., 2013
SIAM J. Sci. Comput., 2013
Sparse Representation Prior and Total Variation-Based Image Deblurring under Impulse Noise.
SIAM J. Imaging Sci., 2013
SIAM J. Imaging Sci., 2013
A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding.
SIAM J. Imaging Sci., 2013
J. Sci. Comput., 2013
2012
IEEE Trans. Image Process., 2012
IEEE Signal Process. Lett., 2012
Lagrangian multipliers and split Bregman methods for minimization problems constrained on S<sup>n-1</sup>.
J. Vis. Commun. Image Represent., 2012
Semi-supervised Clustering via Constrained Symmetric Non-negative Matrix Factorization.
Proceedings of the Brain Informatics - International Conference, 2012
2011
Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection.
IEEE Trans. Image Process., 2011
Restoration of images corrupted by mixed Gaussian-impulse noise via l<sub>1</sub>-l<sub>0</sub> minimization.
Pattern Recognit., 2011
On gene Selection and Classification for Cancer microarray Data Using Multi-Step Clustering and Sparse Representation.
Adv. Data Sci. Adapt. Anal., 2011
2010
SIAM J. Imaging Sci., 2010
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the International Conference on Image Processing, 2010
2009
A Predual Proximal Point Algorithm Solving a Non Negative Basis Pursuit Denoising Model.
Int. J. Comput. Vis., 2009
Proceedings of the International Conference on Image Processing, 2009
2008
Proceedings of the 10th workshop on Multimedia & Security, 2008
Improvement of the embedding efficiency of LSB matching by sum and difference covering set.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008
Incorporating known features into a total variation dictionary model for source separation.
Proceedings of the International Conference on Image Processing, 2008
Proceedings of the International Conference on Image Processing, 2008
2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006