Hyper-Laplacian Regularized Low-Rank Tensor Decomposition for Hyperspectral Anomaly Detection. - Xiaoxiao Ma 003; Xiangrong Zhang; Ning Huyan; Xu Tang; Biao Hou; Licheng Jiao (IGARSS, 2018)

Spatial-Spectral Graph-Based Nonlinear Embedding Dimensionality Reduction for Hyperspectral Image Classificaiton. - Xiangrong Zhang; Yaru Han; Ning Huyan; Chen Li 011; Jie Feng 003; Li Gao; Xiaoxiao Ma 003 (IGARSS, 2018)

Tensor Discriminant Analysis via Compact Feature Representation for Hyperspectral Images Dimensionality Reduction. - Jinliang An; Yuzhen Song; Yuwei Guo 001; Xiaoxiao Ma 003; Xiangrong Zhang (Remote. Sens., 2019)

Hyperspectral Anomaly Detection Based on Low-Rank Representation With Data-Driven Projection and Dictionary Construction. - Xiaoxiao Ma 003; Xiangrong Zhang; Xu Tang; Huiyu Zhou 001; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Spectral-Difference Low-Rank Representation Learning for Hyperspectral Anomaly Detection. - Xiangrong Zhang; Xiaoxiao Ma 003; Ning Huyan; Jing Gu; Xu Tang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2021)

Background Representation Learning With Structural Constraint for Hyperspectral Anomaly Detection. - Xiaoxiao Ma 003; Xiangrong Zhang; Ning Huyan; Jing Gu; Xu Tang; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2022)