Involved in research work with the AI4RS team, focusing on change detection and change captioning, remote sensing for the mining industry, foundation models, multi-task learning, weakly supervised learning, etc.
Research Experience
PhD researcher at the Helmholtz Institute Freiberg (HIF) for Resource Technology, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), and with the Chair of Data Science in Earth Observation, Technical University of Munich (TUM).
Education
Earned M.Phil and B.E. degrees from the Chinese University of Hong Kong, Shenzhen, and Beihang University, respectively. PhD supervisors are Prof. Pedram Ghamisi and Prof. Xiaoxiang Zhu.
Background
Research interests include developing cutting-edge deep learning models for remote sensing (RS) applications, particularly in change detection, unsupervised domain adaptation (UDA), and responsible AI.