Zhichang Guo

According to our database, Zhichang Guo authored at least 44 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Re-initialization-Free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation.

Fanghui Song, Jiebao Sun, Shengzhu Shi, Zhichang Guo, Dazhi Zhang

J. Math. Imaging Vis., October, 2024

A Diffusion Equation for Improving the Robustness of Deep Learning Speckle Removal Model.

Li Cheng, Yuming Xing, Yao Li, Zhichang Guo

J. Math. Imaging Vis., October, 2024

Truncated loss-based Res2Net for non-Gaussian noise removal.

Li Cheng, Zhichang Guo, Yao Li, Yuming Xing

Signal Image Video Process., September, 2024

Boosting the Generalization Ability for Hyperspectral Image Classification Using Spectral-Spatial Axial Aggregation Transformer.

Enzhe Zhao, Zhichang Guo, Shengzhu Shi, Yao Li, Jia Li, Dazhi Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

Structure Tensor-Driven Block-Based Adaptive Variational Pansharpening.

Yaqun Zhang, Zhichang Guo, Yao Li, Boying Wu

IEEE Geosci. Remote. Sens. Lett., 2024

On a nonlinear nonlocal reaction-diffusion system applied to image restoration.

Yuhang Li, Zhichang Guo, Jingfeng Shao, Boying Wu

CoRR, 2024

Diffusion Probabilistic Multi-cue Level Set for Reducing Edge Uncertainty in Pancreas Segmentation.

Yue Gou, Yuming Xing, Shengzhu Shi, Zhichang Guo

CoRR, 2024

Exploring The Robustness Of Deep Image Despeckling Models in an Adversarial Perspective.

Jie Ning, Yao Li, Zhichang Guo, Jiebao Sun, Shengzhu Shi, Enzhe Zhao, Boying Wu

Proceedings of the IGARSS 2024, 2024

2023

Non-Gaussian Noise Removal via Gaussian Denoisers with the Gray Level Indicator.

Kehan Shi, Zhichang Guo

J. Math. Imaging Vis., December, 2023

A Ginzburg-Landau-H^-1 Model and Its SAV Algorithm for Image Inpainting.

Xiangyu Bai, Jiebao Sun, Jie Shen, Wenjuan Yao, Zhichang Guo

J. Sci. Comput., August, 2023

A nonlinear anisotropic diffusion model with non-standard growth for image segmentation.

Jiabao Yang, Zhichang Guo, Boying Wu, Shan Du

Appl. Math. Lett., July, 2023

Nonlocal Adaptive Biharmonic Regularizer for Image Restoration.

Ying Wen, Luminita A. Vese, Kehan Shi, Zhichang Guo, Jiebao Sun

J. Math. Imaging Vis., June, 2023

Efficient SAV Algorithms for Curvature Minimization Problems.

Chenxin Wang, Zhenwei Zhang, Zhichang Guo, Tieyong Zeng, Yuping Duan

IEEE Trans. Circuits Syst. Video Technol., April, 2023

A novel low-light enhancement via fractional-order and low-rank regularized retinex model.

Bao Chen, Zhichang Guo, Wenjuan Yao, Xiaohua Ding, Dazhi Zhang

Comput. Appl. Math., February, 2023

Two-Stream Multiplicative Heavy-Tail Noise Despeckling Network With Truncation Loss.

Li Cheng, Zhichang Guo, Yao Li, Yuming Xing

IEEE Trans. Geosci. Remote. Sens., 2023

Adversarial Training for Physics-Informed Neural Networks.

Yao Li, Shengzhu Shi, Zhichang Guo, Boying Wu

CoRR, 2023

A Review of Adversarial Attacks in Computer Vision.

Yutong Zhang, Yao Li, Yin Li, Zhichang Guo

CoRR, 2023

SaaFormer: Spectral-spatial Axial Aggregation Transformer for Hyperspectral Image Classification.

Enzhe Zhao, Zhichang Guo, Yao Li, Dazhi Zhang

CoRR, 2023

Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack.

Jie Ning, Yao Li, Zhichang Guo

CoRR, 2023

Stationary Point Losses for Robust Model.

Weiwei Gao, Dazhi Zhang, Yao Li, Zhichang Guo, Ovanes L. Petrosian

CoRR, 2023

Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability.

Junqi Gao, Biqing Qi, Yao Li, Zhichang Guo, Dong Li, Yuming Xing, Dazhi Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Image Multiplicative Denoising Using Adaptive Euler's Elastica as the Regularization.

Yu Zhang, Songsong Li, Zhichang Guo, Boying Wu, Shan Du

J. Sci. Comput., 2022

Performance Improvement Scheme of Blockchain Consensus for Supply Chain.

Zhihong Liang, Na Du, Yuxiang Huang, Liu Kai, Zhichang Guo

Int. J. Perform. Eng., 2022

Image decomposition based on nonlinear reaction-diffusion systems.

Gang Dong, Zhichang Guo, Boying Wu

Int. J. Comput. Math., 2022

Real-World Image Super Resolution via Unsupervised Bi-directional Cycle Domain Transfer Learning based Generative Adversarial Network.

Xiang Wang, Yimin Yang, Zhichang Guo, Zhili Zhou, Yu Liu, Qixiang Pang, Shan Du

CoRR, 2022

A new collision avoidance model with random batch resolution strategy.

Tianlu Chen, Chang Yang, Léon Matar Tine, Zhichang Guo

CoRR, 2022

An anisotropic diffusion system with nonlinear time-delay structure tensor for image enhancement and segmentation.

Jiabao Yang, Zhichang Guo, Dazhi Zhang, Boying Wu, Shan Du

Comput. Math. Appl., 2022

2021

Hybrid BM3D and PDE filtering for non-parametric single image denoising.

Ying Wen, Zhichang Guo, Wenjuan Yao, Dong Yan, Jiebao Sun

Signal Process., 2021

2020

A Total Fractional-Order Variation Model for Image Super-Resolution and Its SAV Algorithm.

Wenjuan Yao, Jie Shen, Zhichang Guo, Jiebao Sun, Boying Wu

J. Sci. Comput., 2020

Cauchy noise removal by nonlinear diffusion equations.

Kehan Shi, Gang Dong, Zhichang Guo

Comput. Math. Appl., 2020

On the existence of weak solutions for a curvature driven elliptic system applied to image inpainting.

Kehan Shi, Zhichang Guo

Appl. Math. Lett., 2020

Performance optimisation Method of PBFT Consensus for Supply Chain Integration SVM.

Na Du, Zhihong Liang, Yuxiang Huang, Zhichang Guo, Hongji Yang, Sasa Wang

Proceedings of the 7th International Conference on Dependable Systems and Their Applications, 2020

PBFT Consensus Performance Optimization Method for Fusing C4.5 Decision Tree in Blockchain.

Zhihong Liang, Yuxiang Huang, Zhichang Guo, Qi Liu, Tiancheng Liu

Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020

2019

Multiplicative Noise Removal for Texture Images Based on Adaptive Anisotropic Fractional Diffusion Equations.

Wenjuan Yao, Zhichang Guo, Jiebao Sun, Boying Wu, Huijun Gao

SIAM J. Imaging Sci., 2019

Multiplicative Noise Removal Based on the Smooth Diffusion Equation.

Xiujie Shan, Jiebao Sun, Zhichang Guo

J. Math. Imaging Vis., 2019

On a fractional reaction-diffusion system applied to image decomposition and restoration.

Qiang Liu, Zhiguang Zhang, Zhichang Guo

Comput. Math. Appl., 2019

2018

A Linear Reaction-Diffusion System with Interior Degeneration for Color Image Compression.

Kehan Shi, Dazhi Zhang, Zhichang Guo, Boying Wu

SIAM J. Imaging Sci., 2018

A Nonlinear Diffusion Equation-Based Model for Ultrasound Speckle Noise Removal.

Zhenyu Zhou, Zhichang Guo, Dazhi Zhang, Boying Wu

J. Nonlinear Sci., 2018

An image denoising model based on a fourth-order nonlinear partial differential equation.

Abdelgader Siddig, Zhichang Guo, Zhenyu Zhou, Boying Wu

Comput. Math. Appl., 2018

2016

A non-divergence diffusion equation for removing impulse noise and mixed Gaussian impulse noise.

Kehan Shi, Dazhi Zhang, Zhichang Guo, Jiebao Sun, Boying Wu

Neurocomputing, 2016

2015

A Doubly Degenerate Diffusion Model Based on the Gray Level Indicator for Multiplicative Noise Removal.

Zhenyu Zhou, Zhichang Guo, Gang Dong, Jiebao Sun, Dazhi Zhang, Boying Wu

IEEE Trans. Image Process., 2015

Salt-and-Pepper Noise Removal via Local Hölder Seminorm and Nonlocal Operator for Natural and Texture Image.

Kehan Shi, Zhichang Guo, Gang Dong, Jiebao Sun, Dazhi Zhang, Boying Wu

J. Math. Imaging Vis., 2015

2012

Adaptive Perona-Malik Model Based on the Variable Exponent for Image Denoising.

Zhichang Guo, Jiebao Sun, Dazhi Zhang, Boying Wu

IEEE Trans. Image Process., 2012

2011

On a reaction-diffusion system applied to image decomposition and restoration.

Zhichang Guo, Jingxue Yin, Qiang Liu

Math. Comput. Model., 2011