Shuaikai Shi

According to our database, Shuaikai Shi authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

Fast Electrical Impedance Tomography With Hybrid Priors.

Shuaikai Shi, Ruiyuan Kang, Panos Liatsis

IEEE Trans. Computational Imaging, 2026

2025

Benchmarking Machine Learning Methods for Distributed Acoustic Sensing.

Shuaikai Shi, Qijun Zong

CoRR, March, 2025

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction.

Shuaikai Shi, Ruiyuan Kang, Panos Liatsis

IEEE Trans. Instrum. Meas., 2025

2023

Cascaded transformer U-net for image restoration.

Longbin Yan, Min Zhao, Shumin Liu, Shuaikai Shi, Jie Chen

Signal Process., May, 2023

Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model.

Shuaikai Shi, Lijun Zhang, Jie Chen

CoRR, 2023

Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency.

Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen

CoRR, 2023

Efficient Blind Hyperspectral Unmixing with Non-Local Spatial Information Based on Swin Transformer.

Yun Wang, Shuaikai Shi, Jie Chen

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Deep-RX for Hyperspectral Anomaly Detection.

Yingjie Song, Shuaikai Shi, Jie Chen

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Tobacco Impurities Detection with Deep Image Segmentation Method on Hyperspectral Imaging.

Linruize Tang, Min Zhao, Shuaikai Shi, Jie Chen, Jinwei Li, Qiang Li, Rengang Li

Proceedings of the IEEE International Conference on Signal Processing, 2023

2022

A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability.

Min Zhao, Shuaikai Shi, Jie Chen, Nicolas Dobigeon

IEEE Trans. Geosci. Remote. Sens., 2022

Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability.

Shuaikai Shi, Min Zhao, Lijun Zhang, Yoann Altmann, Jie Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Deep Generative Model for Spatial-Spectral Unmixing With Multiple Endmember Priors.

Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Deep Constrained Energy Minimization for Hyperspectral Target Detection.

Xiaoli Yang, Min Zhao, Shuaikai Shi, Jie Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Constrained Energy Minimization with a DNN Detector.

Xiaoli Yang, Min Zhao, Shuaikai Shi, Jie Chen

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Variational Autoencoders for Hyperspectral Unmixing with Endmember Variability.

Shuaikai Shi, Min Zhao, Lijun Zhang, Jie Chen

Proceedings of the IEEE International Conference on Acoustics, 2021