Shizhen Chang

Linköping University

📧: shizhen.chang@liu.se

📧: szchang@ieee.org

I am an Assistant Professor founded by the Wallenberg AI, Autonomous Systems, and Software Program (WASP) at Linköping University, affiliated with the Information Coding (ICG) division at the Department of Electrical Engineering (ISY). My group is working on AI-based resesarch for digital forensics.

My research interests include deep learning for image forensics, change detection, and anomaly detection. I work with diverse data, including natural images, optical satellite imagery, and high-dimensional data.

💡 Interested in doing your Master’s thesis on AI-based image forensics? Get in touch with me.

📣 One paper accepted by WACV 2026.

📣 One paper accepted by BMVC 2026.

S. Chang, "Can Deep Network Balance Copy-Move Forgery Detection and Distinguishment?" arXiv preprint, doi: 2305.10247, 2023.
[paper]

Y. Xu, T. Bai, W. Yu, S. Chang, P.M. Atkinson, and P. Ghamisi, "AI Security for Geoscience and Remote Sensing: Challenges and Future Trends," IEEE Geosci. Remote Sens. Mag., vol. 11, no. 2, pp. 60-85, 2023.
[paper]

S. Chang and P. Ghamisi, "Changes to Captions: An Attentive Network for Remote Sensing Change Captioning," IEEE Trans. Image Process., vol. 32, pp. 6047-6060, 2023.
[paper][code]

S. Chang, M. Kopp, and P. Ghamisi, "Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks," arXiv preprint, doi: 2304.01101, 2023.
[paper][code]

S. Chang, M. Kopp, and P. Ghamisi, "Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection," IEEE Trans. Geosci. Remote. Sens., vol. 60, pp. 1-12, 2022.
[paper][code]

S. Chang and P. Ghamisi, "Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection," IEEE Trans. Geosci. Remote. Sens., vol. 60, pp. 1-13, 2022.
[paper][code]

S. Chang, B. Du, and L. Zhang, "A Subspace Selection-based Discriminative Forest Method for Hyperspectral Anomaly Detection," IEEE Trans. Geosci. Remote. Sens., vol. 58, no. 6, pp. 4033-4046, 2020.
[paper]

S. Chang, B. Du, and L. Zhang, "BASO: A Background-Anomaly Component Projection and Separation Optimized Filter for Anomaly Detection in Hyperspectral Images," IEEE Trans. Geosci. Remote. Sens., vol. 56, no. 7, pp. 3747-3761, 2018.
[paper]

S. Chang, B. Du, and L. Zhang, "Positive and Unlabeled Learning with Class-prior Approximation," IJCAI, 2020.
[paper]