Zhichang Guo - RankMe

64 papers A* 1C 1Journal 60Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Taylor expansion-based texture and edge-preserving interpolation approach for arbitrary-scale image super-resolution. Pattern Recognit. Shibo Wang, Yuming Xing, Shengzhu Shi, Zhichang Guo
2026	J	`jnl`	A tunable despeckling neural network stabilized via diffusion equation. Signal Process. Yi Ran, Zhichang Guo, Jia Li, Yao Li, Martin Burger, Boying Wu
2026	J	`jnl`	PINNs failure region localization and refinement through white-box adversarial attack. Neurocomputing Shengzhu Shi, Yao Li, Zhichang Guo, Boying Wu, Yang Zhao
2026	J	`jnl`	Spatial dependency learning for image-based anomaly detection in engine combustion. Eng. Appl. Artif. Intell. Luyun Miao, Dazhi Zhang, Zhen Cao, Zhichang Guo, Yao Li, Xun Yuan, Jangbo Peng, Chaobo Yang, Xin Yu, Shaohua Zhu, Fei Qin
2025	J	`jnl`	Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling. SIAM J. Imaging Sci. Jie Ning, Jiebao Sun, Shengzhu Shi, Zhichang Guo, Yao Li, Hongwei Li, Boying Wu
2025	J	`jnl`	An ICTM-RMSAV Framework for Bias-Field Aware Image Segmentation under Poisson and Multiplicative Noise. CoRR Xinyu Wang, Wenjun Yao, Fanghui Song, Zhichang Guo
2025	J	`jnl`	Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration. CoRR Junqi Gao, Zhichang Guo, Dazhi Zhang, Dong Li, Runze Liu, Pengfei Li, Kai Tian, Biqing Qi
2025	J	`jnl`	Diffusion probabilistic multi-cue level set for reducing edge uncertainty in pancreas segmentation. Biomed. Signal Process. Control. Yue Gou, Yuming Xing, Shengzhu Shi, Zhichang Guo
2025	J	`jnl`	Efficient SAV-Based Algorithms for Image Multiplicative Denoising with a Second Fundamental Form Regularizer. J. Sci. Comput. Ziqing Ma, Chang Yang, Shengzhu Shi, Zhichang Guo, Wenjuan Yao, Bibo Lu
2025	J	`jnl`	HTMP: Triple-Scale Multilevel Network With Hessian Spatial Loss for Pansharpening. IEEE Trans. Geosci. Remote. Sens. Binbin Zhang, Dazhi Zhang, Shengzhu Shi, Zhichang Guo
2025	J	`jnl`	PDAC: Efficient Coreset Selection for Continual Learning via Probability Density Awareness. CoRR Junqi Gao, Zhichang Guo, Dazhi Zhang, Yao Li, Yi Ran, Biqing Qi
2025	J	`jnl`	Progressive Alignment Degradation Learning for Pansharpening. CoRR Enzhe Zhao, Zhichang Guo, Yao Li, Fanghui Song, Boying Wu
2025	J	`jnl`	TA-LSDiff:Topology-Aware Diffusion Guided by a Level Set Energy for Pancreas Segmentation. CoRR Yue Gou, Fanghui Song, Yuming Xing, Shengzhu Shi, Zhichang Guo, Boying Wu
2025	J	`jnl`	Towards Frequency-Adaptive Learning for SAR Despeckling. CoRR Ziqing Ma, Chang Yang, Zhichang Guo, Yao Li
2024	J	`jnl`	A Diffusion Equation for Improving the Robustness of Deep Learning Speckle Removal Model. J. Math. Imaging Vis. Li Cheng, Yuming Xing, Yao Li, Zhichang Guo
2024	J	`jnl`	A Tunable Despeckling Neural Network Stabilized via Diffusion Equation. CoRR Yi Ran, Zhichang Guo, Jia Li, Yao Li, Martin Burger, Boying Wu
2024	J	`jnl`	Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling. CoRR Jie Ning, Jiebao Sun, Shengzhu Shi, Zhichang Guo, Yao Li, Hongwei Li, Boying Wu
2024	J	`jnl`	Boosting the Generalization Ability for Hyperspectral Image Classification Using Spectral-Spatial Axial Aggregation Transformer. IEEE Trans. Geosci. Remote. Sens. Enzhe Zhao, Zhichang Guo, Shengzhu Shi, Yao Li, Jia Li, Dazhi Zhang
2024	J	`jnl`	Deep learning informed diffusion equation model for image denoising. IET Image Process. Yao Li, Li Cheng, Zhichang Guo, Yuming Xing
2024	J	`jnl`	Diffusion Probabilistic Multi-cue Level Set for Reducing Edge Uncertainty in Pancreas Segmentation. CoRR Yue Gou, Yuming Xing, Shengzhu Shi, Zhichang Guo
2024	C	`conf`	Exploring The Robustness Of Deep Image Despeckling Models in an Adversarial Perspective. IGARSS Jie Ning, Yao Li, Zhichang Guo, Jiebao Sun, Shengzhu Shi, Enzhe Zhao, Boying Wu
2024	J	`jnl`	Mixed geometry information regularization for image multiplicative denoising. CoRR Shengkun Yang, Zhichang Guo, Jia Li, Fanghui Song, Wenjuan Yao
2024	J	`jnl`	On a nonlinear nonlocal reaction-diffusion system applied to image restoration. CoRR Yuhang Li, Zhichang Guo, Jingfeng Shao, Boying Wu
2024	J	`jnl`	Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability. CoRR Junqi Gao, Biqing Qi, Yao Li, Zhichang Guo, Dong Li, Yuming Xing, Dazhi Zhang
2024	J	`jnl`	Re-initialization-Free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation. J. Math. Imaging Vis. Fanghui Song, Jiebao Sun, Shengzhu Shi, Zhichang Guo, Dazhi Zhang
2024	J	`jnl`	Structure Tensor-Driven Block-Based Adaptive Variational Pansharpening. IEEE Geosci. Remote. Sens. Lett. Yaqun Zhang, Zhichang Guo, Yao Li, Boying Wu
2024	J	`jnl`	Truncated loss-based Res2Net for non-Gaussian noise removal. Signal Image Video Process. Li Cheng, Zhichang Guo, Yao Li, Yuming Xing
2023	J	`jnl`	A Ginzburg-Landau-H J. Sci. Comput. Xiangyu Bai, Jiebao Sun, Jie Shen, Wenjuan Yao, Zhichang Guo
2023	J	`jnl`	A Review of Adversarial Attacks in Computer Vision. CoRR Yutong Zhang, Yao Li, Yin Li, Zhichang Guo
2023	J	`jnl`	A nonlinear anisotropic diffusion model with non-standard growth for image segmentation. Appl. Math. Lett. Jiabao Yang, Zhichang Guo, Boying Wu, Shan Du
2023	J	`jnl`	A novel low-light enhancement via fractional-order and low-rank regularized retinex model. Comput. Appl. Math. Bao Chen, Zhichang Guo, Wenjuan Yao, Xiaohua Ding, Dazhi Zhang
2023	J	`jnl`	Adversarial Training for Physics-Informed Neural Networks. CoRR Yao Li, Shengzhu Shi, Zhichang Guo, Boying Wu
2023	J	`jnl`	Efficient SAV Algorithms for Curvature Minimization Problems. IEEE Trans. Circuits Syst. Video Technol. Chenxin Wang, Zhenwei Zhang, Zhichang Guo, Tieyong Zeng, Yuping Duan
2023	J	`jnl`	Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack. CoRR Jie Ning, Yao Li, Zhichang Guo
2023	J	`jnl`	Non-Gaussian Noise Removal via Gaussian Denoisers with the Gray Level Indicator. J. Math. Imaging Vis. Kehan Shi, Zhichang Guo
2023	J	`jnl`	Nonlocal Adaptive Biharmonic Regularizer for Image Restoration. J. Math. Imaging Vis. Ying Wen, Luminita A. Vese, Kehan Shi, Zhichang Guo, Jiebao Sun
2023	A*	`conf`	Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability. NeurIPS Junqi Gao, Biqing Qi, Yao Li, Zhichang Guo, Dong Li, Yuming Xing, Dazhi Zhang
2023	J	`jnl`	Re-initialization-free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation. CoRR Fanghui Song, Jiebao Sun, Shengzhu Shi, Zhichang Guo, Dazhi Zhang
2023	J	`jnl`	SaaFormer: Spectral-spatial Axial Aggregation Transformer for Hyperspectral Image Classification. CoRR Enzhe Zhao, Zhichang Guo, Yao Li, Dazhi Zhang
2023	J	`jnl`	Stationary Point Losses for Robust Model. CoRR Weiwei Gao, Dazhi Zhang, Yao Li, Zhichang Guo, Ovanes L. Petrosian
2023	J	`jnl`	Two-Stream Multiplicative Heavy-Tail Noise Despeckling Network With Truncation Loss. IEEE Trans. Geosci. Remote. Sens. Li Cheng, Zhichang Guo, Yao Li, Yuming Xing
2022	J	`jnl`	A new collision avoidance model with random batch resolution strategy. CoRR Tianlu Chen, Chang Yang, Léon Matar Tine, Zhichang Guo
2022	J	`jnl`	An anisotropic diffusion system with nonlinear time-delay structure tensor for image enhancement and segmentation. Comput. Math. Appl. Jiabao Yang, Zhichang Guo, Dazhi Zhang, Boying Wu, Shan Du
2022	J	`jnl`	Image Multiplicative Denoising Using Adaptive Euler's Elastica as the Regularization. J. Sci. Comput. Yu Zhang, Songsong Li, Zhichang Guo, Boying Wu, Shan Du
2022	J	`jnl`	Image decomposition based on nonlinear reaction-diffusion systems. Int. J. Comput. Math. Gang Dong, Zhichang Guo, Boying Wu
2022	J	`jnl`	Performance Improvement Scheme of Blockchain Consensus for Supply Chain. Int. J. Perform. Eng. Zhihong Liang, Na Du, Yuxiang Huang, Kai Liu, Zhichang Guo
2022	J	`jnl`	Real-World Image Super Resolution via Unsupervised Bi-directional Cycle Domain Transfer Learning based Generative Adversarial Network. CoRR Xiang Wang, Yimin Yang, Zhichang Guo, Zhili Zhou, Yu Liu, Qixiang Pang, Shan Du
2021	J	`jnl`	Hybrid BM3D and PDE filtering for non-parametric single image denoising. Signal Process. Ying Wen, Zhichang Guo, Wenjuan Yao, Dong Yan, Jiebao Sun
2020	J	`jnl`	A Total Fractional-Order Variation Model for Image Super-Resolution and Its SAV Algorithm. J. Sci. Comput. Wenjuan Yao, Jie Shen, Zhichang Guo, Jiebao Sun, Boying Wu
2020	J	`jnl`	Cauchy noise removal by nonlinear diffusion equations. Comput. Math. Appl. Kehan Shi, Gang Dong, Zhichang Guo
2020	J	`jnl`	On the existence of weak solutions for a curvature driven elliptic system applied to image inpainting. Appl. Math. Lett. Kehan Shi, Zhichang Guo
2020	—	`conf`	PBFT Consensus Performance Optimization Method for Fusing C4.5 Decision Tree in Blockchain. BlockSys Zhihong Liang, Yuxiang Huang, Zhichang Guo, Qi Liu, Tiancheng Liu
2020	—	`conf`	Performance optimisation Method of PBFT Consensus for Supply Chain Integration SVM. DSA Na Du, Zhihong Liang, Yuxiang Huang, Zhichang Guo, Hongji Yang, Sasa Wang
2019	J	`jnl`	Multiplicative Noise Removal Based on the Smooth Diffusion Equation. J. Math. Imaging Vis. Xiujie Shan, Jiebao Sun, Zhichang Guo
2019	J	`jnl`	Multiplicative Noise Removal for Texture Images Based on Adaptive Anisotropic Fractional Diffusion Equations. SIAM J. Imaging Sci. Wenjuan Yao, Zhichang Guo, Jiebao Sun, Boying Wu, Huijun Gao
2019	J	`jnl`	On a fractional reaction-diffusion system applied to image decomposition and restoration. Comput. Math. Appl. Qiang Liu, Zhiguang Zhang, Zhichang Guo
2018	J	`jnl`	A Linear Reaction-Diffusion System with Interior Degeneration for Color Image Compression. SIAM J. Imaging Sci. Kehan Shi, Dazhi Zhang, Zhichang Guo, Boying Wu
2018	J	`jnl`	A Nonlinear Diffusion Equation-Based Model for Ultrasound Speckle Noise Removal. J. Nonlinear Sci. Zhenyu Zhou, Zhichang Guo, Dazhi Zhang, Boying Wu
2018	J	`jnl`	An image denoising model based on a fourth-order nonlinear partial differential equation. Comput. Math. Appl. Abdelgader Siddig, Zhichang Guo, Zhenyu Zhou, Boying Wu
2016	J	`jnl`	A non-divergence diffusion equation for removing impulse noise and mixed Gaussian impulse noise. Neurocomputing Kehan Shi, Dazhi Zhang, Zhichang Guo, Jiebao Sun, Boying Wu
2015	J	`jnl`	A Doubly Degenerate Diffusion Model Based on the Gray Level Indicator for Multiplicative Noise Removal. IEEE Trans. Image Process. Zhenyu Zhou, Zhichang Guo, Gang Dong, Jiebao Sun, Dazhi Zhang, Boying Wu
2015	J	`jnl`	Salt-and-Pepper Noise Removal via Local Hölder Seminorm and Nonlocal Operator for Natural and Texture Image. J. Math. Imaging Vis. Kehan Shi, Zhichang Guo, Gang Dong, Jiebao Sun, Dazhi Zhang, Boying Wu
2012	J	`jnl`	Adaptive Perona-Malik Model Based on the Variable Exponent for Image Denoising. IEEE Trans. Image Process. Zhichang Guo, Jiebao Sun, Dazhi Zhang, Boying Wu
2011	J	`jnl`	On a reaction-diffusion system applied to image decomposition and restoration. Math. Comput. Model. Zhichang Guo, Jingxue Yin, Qiang Liu