ZHAO Zhuoyi Joey 趙倬毅

• Ph.D. in Earth System & Geoinformation Science, The Chinese University of Hong Kong, 2021
• M.S. in Control Science & Engineering, Shanghai Jiao Tong University, 2014
• B.S. in Information Engineering, Xi’an Jiao Tong University, 2011

• 2021 – 2022: Research Associate, Institute of Space and Earth Information Science, The Chinese University of Hong Kong.
• 2014 – 2015: Research Assistant, Department of Electronic Engineering, The Chinese University of Hong Kong.
• 2011 – 2014: Research Assistant, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University.

• InSAR time series deformation analysis
• Quantifying the development of retrogressive thaw slumps (RTS)
• Deep learning applications in remote sensing and earth system science

• ESGS 5018 Environmental Remote Sensing Technology
• ESGS 5017 Geoinformation Technologies for Risk and Crises Management

1. Zhao, Z., Wu, Z., Zheng, Y., Ma, P., 2021. Recurrent neural networks for atmospheric noise removal from InSAR time series with missing values. ISPRS Journal of Photogrammetry and Remote Sensing 180, 227–237.
2. Wu, Z., Zhao, Z., Ma, P., Huang, B., 2021. Real-World DEM Super-Resolution based on Generative Adversarial Networks for Improving InSAR Topographic Phase Simulation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, 8373–8385.
3. Lin, Y., Wan, L., Zhang, H., Wei, S., Ma, P., Li, Y., Zhao, Z., 2021. Leveraging optical and SAR data with a UU-Net for large-scale road extraction. International Journal of Applied Earth Observation and Geoinformation 103, 102498.
4. Zhao, Z., Li, H., Zhao, R., Wang, X., 2016. Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks. In European Conference on Computer Vision (ECCV), 712-726.
5. Zhao, Z., Qiao, Y., Yang, J., Bai, L., 2014. From dense subgraph to graph matching: A label propagation approach. In International Conference on Audio, Language, and Image Processing (ICALP), 301–306.