Shenglin Peng

According to our database, Shenglin Peng authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

SemiSketch: An ancient mural sketch extraction network based on reference prior and gradient frequency compensation.

Zhe Yu, Jun Wang, Shuyi Qu, Qunxi Zhang, Yirong Ma, Shenglin Peng, Jinye Peng

Pattern Recognit., 2026

High-fidelity mural inpainting via progressive reconstruction and damage-aware adaptation.

Shuyi Qu, Qingqing Kang, Zhe Yu, Shenglin Peng, Jun Wang, Qiyao Hu, Xianlin Peng, Jinye Peng

Expert Syst. Appl., 2026

2025

Multi-scale feature extraction and gradient attention-based method for sketch extraction of painted cultural relics.

Shenglin Peng, Shan Cui, Xingguo Zhao, Jun Wang, Shuyi Qu, Xianlin Peng

Appl. Intell., August, 2025

Quantile regression-enriched event modeling framework for dropout analysis in high-temperature superconductor manufacturing.

Mai Li, Ying Lin, Qianmei Feng, Wenjiang Fu, Shenglin Peng, Siwei Chen, Mahesh Paidpilli, Chirag Goel, Eduard Galstyan, Venkat Selvamanickam

J. Intell. Manuf., June, 2025

Adaptive inpainting transformer for semantically coherent image completion.

Shuyi Qu, Jun Wang, Huixin Chen, Yirong Ma, Shenglin Peng

Appl. Soft Comput., 2025

2024

AGD-GAN: Adaptive Gradient-Guided and Depth-supervised generative adversarial networks for ancient mural sketch extraction.

Zhe Yu, Shenglin Peng, Shuyi Qu, Qunxi Zhang, Jun Wang, Jinye Peng

Expert Syst. Appl., 2024

2023

Data-driven optimal control of wind turbines using reinforcement learning with function approximation.

Shenglin Peng, Qianmei Feng

Comput. Ind. Eng., February, 2023

2022

SSML: Spectral-Spatial Mutual-Learning-Based Framework for Hyperspectral Pansharpening.

Xianlin Peng, Yihao Fu, Shenglin Peng, Kai Ma, Lu Liu, Jun Wang

Remote. Sens., 2022

Contour-enhanced CycleGAN framework for style transfer from scenery photos to Chinese landscape paintings.

Xianlin Peng, Shenglin Peng, Qiyao Hu, Jinye Peng, Jiaxin Wang, Xinyu Liu, Jianping Fan

Neural Comput. Appl., 2022

2021

Reinforcement learning with Gaussian processes for condition-based maintenance.

Shenglin Peng, Qianmei (May) Feng

Comput. Ind. Eng., 2021