Existence of positive periodic solutions for the p-Laplacian system. - Jiebao Sun; Yuanyuan Ke; Chunhua Jin; Jingxue Yin (Appl. Math. Lett., 2007)

Periodic solutions for a degenerate parabolic equation. - Yuanyuan Ke; Rui Huang; Jiebao Sun (Appl. Math. Lett., 2009)

An Image Level Set Method for Denoising. - Dazhi Zhang; Songsong Li; Boying Wu; Jiebao Sun (IIH-MSP, 2010)

Periodic doubly degenerate parabolic equation with nonlocal terms. - Jing Li; Jiebao Sun; Boying Wu (Comput. Math. Appl., 2010)

A novel variational model for image segmentation. - Yanli Zhai; Dazhi Zhang; Jiebao Sun; Boying Wu (J. Comput. Appl. Math., 2011)

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)

Some numerical algorithms for solving the highly oscillatory second-order initial value problems. - Wenjie Liu 005; Boying Wu; Jiebao Sun (J. Comput. Phys., 2014)

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)

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)

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)

Galerkin-Chebyshev spectral method and block boundary value methods for two-dimensional semilinear parabolic equations. - Wenjie Liu 005; Jiebao Sun; Boying Wu (Numer. Algorithms, 2016)

Multiplicative Noise Removal Based on the Smooth Diffusion Equation. - Xiujie Shan; Jiebao Sun; Zhichang Guo (J. Math. Imaging Vis., 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)

A Total Fractional-Order Variation Model for Image Super-Resolution and Its SAV Algorithm. - Wenjuan Yao; Jie Shen 001; Zhichang Guo; Jiebao Sun; Boying Wu (J. Sci. Comput., 2020)

Hybrid BM3D and PDE filtering for non-parametric single image denoising. - Ying Wen 002; Zhichang Guo; Wenjuan Yao; Dong Yan; Jiebao Sun (Signal Process., 2021)

Nonlocal Adaptive Biharmonic Regularizer for Image Restoration. - Ying Wen 002; Luminita A. Vese; Kehan Shi; Zhichang Guo; Jiebao Sun (J. Math. Imaging Vis., 2023)

A Ginzburg-Landau-H-1 Model and Its SAV Algorithm for Image Inpainting. - Xiangyu Bai; Jiebao Sun; Jie Shen 001; Wenjuan Yao; Zhichang Guo (J. Sci. Comput., 2023)

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 (IGARSS, 2024)

Fractional-order cross-diffusion system for multiplicative noise removal. - Juanjuan Gao; Jiebao Sun; Shengzhu Shi (Comput. Math. Appl., 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., 2024)

An adaptive optimal selection approach of the Mixture-of-Experts model embedded with PINNs for one-dimensional hyperbolic conservation laws. - Jiaqian Dan; Jiebao Sun; Jia Li; Shengzhu Shi (Commun. Nonlinear Sci. Numer. Simul., 2025)

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling. - Jie Ning; Jiebao Sun; Shengzhu Shi; Zhichang Guo; Yao Li; Hongwei Li; Boying Wu (SIAM J. Imaging Sci., 2025)