Kai Shang

Orcid: 0000-0002-4357-0252

Affiliations:
  • China University of Petroleum (East China), College of Computer Science and Technology, Qingdao Institute of Software, Qingdao, China
  • Shandong Institute of Petroleum and Chemical Technology, Dongying, China


According to our database1, Kai Shang authored at least 12 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
A Hybrid Model of State-Space Model and Attention for Hyperspectral Image Denoising.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

SeBIR: Semantic-guided burst image restoration.
Neural Networks, 2025

SNAFusion-MM: Distilling sparse sampled measurements by 2D axial diffusion priors with multi-step matching for 3D inverse problem.
Inf. Fusion, 2025

Training-free prior guided diffusion model for zero-reference low-light image enhancement.
Neurocomputing, 2025

WaveletMamba: Wavelet-based state space model for low light image enhancement.
Displays, 2025

2024
When guided diffusion model meets zero-shot image super-resolution.
Eng. Appl. Artif. Intell., 2024

Frequency-aware network for low-light image enhancement.
Comput. Graph., 2024

SNAFusion: Distilling 2D Axial Plane Diffusion Priors for Sparse-View 3D Cone-Beam CT Imaging.
Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Mutual channel prior guided dual-domain interaction network for single image raindrop removal.
Comput. Graph., May, 2023

A novel pedal musculoskeletal response based on differential spatio-temporal LSTM for human activity recognition.
Knowl. Based Syst., 2023

DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding.
CoRR, 2023


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