Resume
Academic Achievements
- 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.
Miscellany
- Personal interests not mentioned