Variational Autoencoders for Hyperspectral Unmixing with Endmember Variability. - Shuaikai Shi; Min Zhao; Lijun Zhang 004; Jie Chen 022 (ICASSP, 2021)

Constrained Energy Minimization with a DNN Detector. - Xiaoli Yang; Min Zhao; Shuaikai Shi; Jie Chen 022 (IGARSS, 2022)

Deep Constrained Energy Minimization for Hyperspectral Target Detection. - Xiaoli Yang; Min Zhao; Shuaikai Shi; Jie Chen 022 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Deep Generative Model for Spatial-Spectral Unmixing With Multiple Endmember Priors. - Shuaikai Shi; Lijun Zhang 004; Yoann Altmann; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2022)

Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability. - Shuaikai Shi; Min Zhao; Lijun Zhang 004; Yoann Altmann; Jie Chen 022 (IEEE Trans. Geosci. Remote. Sens., 2022)

A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability. - Min Zhao; Shuaikai Shi; Jie Chen 022; Nicolas Dobigeon (IEEE Trans. Geosci. Remote. Sens., 2022)

Tobacco Impurities Detection with Deep Image Segmentation Method on Hyperspectral Imaging. - Linruize Tang; Min Zhao; Shuaikai Shi; Jie Chen 022; Jinwei Li 002; Qiang Li; Rengang Li (ICSPCC, 2023)

Deep-RX for Hyperspectral Anomaly Detection. - Yingjie Song; Shuaikai Shi; Jie Chen 022 (IGARSS, 2023)

Efficient Blind Hyperspectral Unmixing with Non-Local Spatial Information Based on Swin Transformer. - Yun Wang; Shuaikai Shi; Jie Chen 022 (IGARSS, 2023)

Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency. - Shuaikai Shi; Lijun Zhang 004; Yoann Altmann; Jie Chen 022 (CoRR, 2023)

Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model. - Shuaikai Shi; Lijun Zhang 004; Jie Chen 022 (CoRR, 2023)

Cascaded transformer U-net for image restoration. - Longbin Yan; Min Zhao; Shumin Liu; Shuaikai Shi; Jie Chen 022 (Signal Process., 2023)

A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction. - Shuaikai Shi; Ruiyuan Kang; Panos Liatsis (IEEE Trans. Instrum. Meas., 2025)

Benchmarking Machine Learning Methods for Distributed Acoustic Sensing. - Shuaikai Shi; Qijun Zong (CoRR, 2025)