Academic Staff
Dr Zhi ZHENG
Research Assistant Professor
- PQ407
- 3400 8493
- zhi.zheng@polyu.edu.hk
Biography
BEng (WHU), PhD (WHU)
Short Description
Dr Zhi Zheng received his BEng degree from the School of Remote Sensing and Information Engineering at Wuhan University in 2017. He completed his MPhil-PhD program at the same university in 2023. He was a Postdoc Postdoctoral Fellow at The Chinese University of Hong Kong (CUHK) from September 2023 to April 2026, and a member of the CUHK’s Research Fellowship Scheme. Dr Zheng served as the technical leader and Vice Chief Engineer for the “CUHKSat-1” satellite project and is currently an academic editor for The Photogrammetric Record.
Area of Specialisation
- Satellite remote sensing
- Onboard AI computing
- Cross-view visual localisation
- 3D city modeling
- Disaster monitoring
Selected Journal Publications
- Zheng, Z., Wan, Y., Zhang, Y., Xiang, S., Peng, D., & Zhang, B. (2021). CLNet: Cross-layer convolutional neural network for change detection in optical remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 175, 247-267. (ESI Highly Cited Paper)
- Zheng, Z., Wan, Y., Zhang, Y., Hu, Z., Wei, D., Yao, Y., ... & Xiao, R. (2024). Digital surface model generation from highâresolution satellite stereos based on hybrid feature fusion network. The Photogrammetric Record, 39(185), 36-66. (Frontispiece and recognized as a top cited article in the journal)
- Zheng, Z., Ma, P., & Wu, Z. (2024). A context-structural feature decoupling change detection network for detecting earthquake-triggered damage. International Journal of Applied Earth Observation and Geoinformation, 131, 103961.
- Zhang, Y., Zhang, W., Yao, Y., Zheng, Z.*, Wan, Y. *, & Xiong, M. (2024). Robust registration of multi-modal remote sensing images based on multi-dimensional oriented self-similarity features. International Journal of Applied Earth Observation and Geoinformation, 127, 103639.
- Lu, X., Zheng, Z. , Wan, Y., Yao, Y., Wang, A., Zhang, R., ... & Li, H. (2025). GLEAM: Learning to Match and Explain in Cross-View Geo-Localization. arXiv preprint arXiv:2509.07450.