I am currently a Ph.D. student at Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS) and University of Chinese Academy of Sciences (UCAS), under the supervision of Prof. Zhengchao Chen. I received my B.Eng. degree in Geospatial Information Engineering from China University of Geosciences (Wuhan) in 2023, under the supervision of Prof. Mingqiang Guo. My research interests include Multimodal Large Language Models (MLLM), Large Language Models (LLM), and Agents for Remote Sensing. I am dedicated to exploring how to build more general intelligent systems that solve complex real-world problems through multimodal perception and reasoning.
Research Vision
My research focuses on applying LLM and MLLM to remote sensing, aiming to build intelligent systems that autonomously understand and reason about Earth observation data. By combining multimodal perception with language reasoning, I aim to enable machines to understand remote sensing scenes like human experts — not just "seeing" images, but truly "understanding" the geographic semantics, spatiotemporal changes, and causal relationships. My long-term goal is to advance remote sensing intelligence from "passive analysis" to "active reasoning".
News
Education and Work Experience
Awards
Research Highlight [Full Publications] (🧑‍💻 Co-first, 📮 Corresponding)
Gains and gaps of large-scale canopy height products for urban tree carbon stock inversion: A multi-scale assessment
Hesong Dong, Haoran Wang, Guofan Shao, Lina Tang
Urban Forestry & Urban Greening (UFUG), 2026
Talks
Misc