Department of Geography and Resource Management (GRM), The Chinese University of Hong Kong

Prof. Wu Zherong

Faculty Member

Prof. Wu Zherong

Assistant Professor

B.Eng. (Wuhan U)
PhD (CUHK)
Postdoc (Cornell)

zherongwu@cuhk.edu.hk Visit personal website >

RESEARCH PROJECTS

    • 01/2025-12/2027 Multimodal Data-Driven Land Subsidence Time-Series InSAR Monitoring and Pattern Recognition Method in Coastal Cities (PI, NSFC Young Scientists Fund, CNY 300,000)
    • 09/2024-08/2026 Curbing the Climate Model Uncertainties in Predicting the 21st Century Terrestrial Carbon Sink Strength Through Deep Learning (PI, Schmidt AI in Science Postdoctoral Fellowship, US$ 182,770)
    • 07/2024-06/2026 Scaling A Solution to Climate Change, Health, Agriculture, Water and Energy Challenges in Africa (Participant, Cornell Climate Solutions Fund, US$ 150,000)
    • 01/2025-06/2026 ACED: Planet-scale AI for accelerating environmental science-Invasive species and Beyond (Participant, NSF Accelerating Computing-Enabled Scientific Discovery, US$ 500,000)
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SELECTED PUBLICATIONS

    • Gu, Y., Meng, L., Wang, Y., Wu, Z., Pan, Y., Zhao, Y., Detto, M., & Wu, J. (2025). Uncovering the role of solar radiation and water stress factors in constraining decadal intra-site spring phenology variability in diverse ecosystems across the Northern Hemisphere. New Phytologist, 246(5): 1986-2003.
    • Wu, Z., Lehner, F., Luo, Y., Sun, W., Wen, J., & Sun, Y. (2024). Constraining Climate Model Uncertainties in Predicting Terrestrial Carbon Sink Strength Through Deep Learning. In American Geophysical Union (AGU) Annual Meeting 2024, Washington, D.C., United States, 9-13 December 2024.
    • Wang, Z., Wu, Z., Yang, T., & Ma, P. (2024). Sequential image registration algorithm based on the PrePS points association for GNSS-based InBSAR systems. IEEE Transactions on Geoscience and Remote Sensing, 62: 5226012.
    • Wu, Z., Ma, P., Zhang, X., & Ye, G. (2024). Efficient management and processing of massive InSAR images using an HPC-based cloud platform. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17: 2866-2876.
    • Ma, P., Yu, C., Jiao, Z., Zheng, Y., Wu, Z.*, Mao, W., & Lin, H. (2024). Improving time-series InSAR deformation estimation for city clusters by deep learning-based atmospheric delay correction. Remote Sensing of Environment, 304: 114004.
    • Ma, P., Wu, Z., Zhang, Z., & Au, F. (2024). SAR-Transformer-based decomposition and geophysical interpretation of InSAR time-series deformations for the Hong Kong-Zhuhai-Macao Bridge. Remote Sensing of Environment, 302: 113962.
    • Wu, Z., Ma, P., Zheng, Y., Gu, F., Liu, L., & Lin, H. (2023). Automatic detection and classification of land subsidence in deltaic metropolitan areas using distributed scatterer InSAR and Oriented RCNN. Remote Sensing of Environment, 290: 113545.
    • Wu, Z., Zhang, X., Cai, J., Ma, P., & Kwan, M.-P. (2023). Understanding spatially non-stationary effects of natural and human-induced factors on land subsidence based on InSAR and multi-source geospatial data: A case study in the Guangdong-Hong Kong-Macao Greater Bay Area. International Journal of Digital Earth, 16(2): 4404-4427.
    • Liu, Y., Kwan, M.-P., & Wu, Z. (2022). Visualizing and quantifying the spatiotemporal expansion of
      the Blue Lentic Belt in Alabama and Mississippi. Water Research, 217: 118444.
    • 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.
    • 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.

Teaching Fields

  • Aerospace science
  • Remote sensing
  • Geoinformatics

Research interests

  • Satellite remote sensing
  • AI for Science
  • Urban Geohazard
  • Terrestrial Carbon Cycle

Services/ Posts

    • Guest editor, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • Scientific review committee member, IEEE/GRSS International Geoscience and Remote Sensing Symposium (IGARSS)
    • Session convener & Chair, American Geophysical Union (AGU) Annual Meeting
    • Session chair, American Association of Geographers (AAG) Annual Meeting
    • Session Convener, European Geosciences Union General Assembly

Awards

    • 2024    Schmidt AI in Science Postdoctoral Fellowship, Schmidt Sciences
    • 2024    Postgraduate Research Output Award, CUHK
    • 2023    1st Place, American Association of Geographers Remote Sensing Specialty Group Honors Paper Competition
    • 2023    1st Place, Excellent PhD Dissertation Award, IEEE Geoscience and Remote Sensing Society Hong Kong Chapter
    • 2023    Rising Star in GIS, China University GIS Forum
    • 2023    Special Prize, China Geospatial Technology Advancement Award
    • 2018    National Scholarship, Ministry of Education, China
    • 2018    Rising Star in Remote Sensing, Wuhan University

SUGGESTED RESEARCH TOPICS FOR POSTGRADUATE STUDENTS

Multi-Source Satellite Remote Sensing

AI for Science and Geospatial Big Data

Urban Geohazard and Natural Disaster Monitoring

Climate Change and Terrestrial Carbon Cycle