Invited Talks
Land Subsidence Monitoring and Pattern Identification in Delta Metropolitan Areas Based on Time-series InSAR and Deep Learning: A Case Study in the Guangdong-Hong Kong-Macao Greater Bay Area. In 2024 China Rising Star of Radar Academic Conference, Online, 6-10 May 2024.
Detecting the Spatiotemporal Pattern of Land Subsidence Using InSAR and Deep Learning. In Workshop on GeoAI and Big Data for Urban, Environment, and Sustainability cum, Hong Kong, 9-10 December 2023.
Detecting the Spatiotemporal Pattern of Land Subsidence Using InSAR and Deep Learning. In Cornell BioM Cube, Ithaca, United States, 14 September 2023.
Remote sensing of land deformation and early warning of geohazards. In United Nations Youth Forum on Space Applications and the SPACE+ initiative, Phuket, Thailand, 10-11 March 2022.
Detection of multi-category deltaic land subsidence with multi-temporal InSAR and deep learning. In 2nd EAGE/SEG Workshop on Geophysical Aspects of Smart Cities, Hong Kong, 6-8 December 2022.
Conference Presentations
Utilizing SAR-Transformers for Analyzing and Interpreting InSAR Time-Series Deformations: A Case Study on the Hong Kong-Zhuhai-Macao Bridge. In 2024 American Association of Geographers Annual Meeting, Honolulu, United States, 16-20 April 2024. [Link]
Deep Learning of InSAR Time-series Signals for Assessing the Impacts of Geotechnical, Meteorological, and Marine Conditions on Cross-Sea Bridge Deformations. In American Geophysical Union (AGU) Fall Meeting 2023, San Francisco, United States, 11-15 December 2023. [Link]
SAR-Transformer: Decomposing InSAR time series and uncovering the temporal patterns of land deformation. In the 13th International Symposium on Digital Earth, Harokopio University, Athens Greece, 11-14 July 2023.
Deep learning of InSAR data for deciphering millimeter-level land subsidence bowls in deltaic metropolitan areas. In 2023 American Association of Geographers Annual Meeting, Denver, United States, 23-27 March 2023. (1st Place in the Remote Sensing Student Honors Paper Competition) [Link]
Deep learning techniques for interpreting millimeter-level land subsidence patterns from InSAR data. In 2023 Harvard University Center for Geographic Analysis Conference, Cambridge, United States, 20-21 March 2023.
Deep learning of InSAR data for identifying and interpreting land subsidence in deltaic metropolitan areas. In Advanced Urban Remote Sensing Workshop (AURSW), Hong Kong, 3-4 December 2022. (Best Oral Presentation Award)
Automatic detection of widely distributed local-scale subsidence bowls in rapidly urbanizing metropolitan region using time-series InSAR and deep learning methods. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 11-16 July 2021. [Link]
ESRGAN-based DEM super-resolution for enhanced slope deformation monitoring in Lantau island of Hong Kong. In the International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43,351-356, Nice, France, 14–20 June 2020. [Link]