Shengzhu Shi

According to our database, Shengzhu Shi authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

A Taylor expansion-based texture and edge-preserving interpolation approach for arbitrary-scale image super-resolution.

Shibo Wang, Yuming Xing, Shengzhu Shi, Zhichang Guo

Pattern Recognit., 2026

2025

Efficient SAV-Based Algorithms for Image Multiplicative Denoising with a Second Fundamental Form Regularizer.

Ziqing Ma, Chang Yang, Shengzhu Shi, Zhichang Guo, Wenjuan Yao, Bibo Lu

J. Sci. Comput., April, 2025

HTMP: Triple-Scale Multilevel Network With Hessian Spatial Loss for Pansharpening.

Binbin Zhang, Dazhi Zhang, Shengzhu Shi, Zhichang Guo

IEEE Trans. Geosci. Remote. Sens., 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

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

Diffusion probabilistic multi-cue level set for reducing edge uncertainty in pancreas segmentation.

Yue Gou, Yuming Xing, Shengzhu Shi, Zhichang Guo

Biomed. Signal Process. Control., 2025

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

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

Fractional-order cross-diffusion system for multiplicative noise removal.

Juanjuan Gao, Jiebao Sun, Shengzhu Shi

Comput. Math. Appl., 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

Adversarial Training for Physics-Informed Neural Networks.

Yao Li, Shengzhu Shi, Zhichang Guo, Boying Wu

CoRR, 2023