IBRS: An Iterative Background Reconstruction and Suppression Framework for Hyperspectral Target Detection. - Shizhen Chang; Bo Du 001; Liangpei Zhang 001; Rui Zhao 003 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

BASO: A Background-Anomaly Component Projection and Separation Optimized Filter for Anomaly Detection in Hyperspectral Images. - Shizhen Chang; Bo Du 001; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

A Sparse Autoencoder Based Hyperspectral Anomaly Detection Algorihtm Using Residual of Reconstruction Error. - Shizhen Chang; Bo Du 001; Liangpei Zhang 001 (IGARSS, 2019)

Positive Unlabeled Learning with Class-prior Approximation. - Shizhen Chang; Bo Du 001; Liangpei Zhang 001 (IJCAI, 2020)

A Low-Rank and Sparse Matrix Decomposition- Based Dictionary Reconstruction and Anomaly Extraction Framework for Hyperspectral Anomaly Detection. - Yichu Xu; Bo Du 001; Liangpei Zhang 001; Shizhen Chang (IEEE Geosci. Remote. Sens. Lett., 2020)

A Subspace Selection-Based Discriminative Forest Method for Hyperspectral Anomaly Detection. - Shizhen Chang; Bo Du 001; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Hyperspectral Anomaly Detection based on Low-rank Structure Exploration. - Shizhen Chang; Pedram Ghamisi (CIKM Workshops, 2021)

A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi (CDCEO@IJCAI, 2022)

Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi (CoRR, 2022)

AI Security for Geoscience and Remote Sensing: Challenges and Future Trends. - Yonghao Xu; Tao Bai; Weikang Yu; Shizhen Chang; Peter M. Atkinson; Pedram Ghamisi (CoRR, 2022)

Nonnegative-Constrained Joint Collaborative Representation With Union Dictionary for Hyperspectral Anomaly Detection. - Shizhen Chang; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2022)

Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi (CoRR, 2023)

Can Deep Network Balance Copy-Move Forgery Detection and Distinguishment? - Shizhen Chang (CoRR, 2023)

Changes to Captions: An Attentive Network for Remote Sensing Change Captioning. - Shizhen Chang; Pedram Ghamisi (IEEE Trans. Image Process., 2023)

Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. - Shizhen Chang; Michael Kopp 001; Pedram Ghamisi; Bo Du 001 (IEEE Trans. Geosci. Remote. Sens., 2024)