Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works. - Chao Tao 001; Ji Qi 001; Mingning Guo; Qing Zhu; Haifeng Li 007 (IEEE Trans. Geosci. Remote. Sens., 2023)

IFShip: A Large Vision-Language Model for Interpretable Fine-grained Ship Classification via Domain Knowledge-Enhanced Instruction Tuning. - Mingning Guo; Mengwei Wu; Yuxiang Shen; Haifeng Li; Chao Tao (CoRR, 2024)

Global-Local Coupled Style Transfer for Semantic Segmentation of Bitemporal Remote Sensing Images. - Hao Wang 069; Mingning Guo; Shaoxian Li; Haifeng Li 007; Chao Tao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

IFShip: Interpretable fine-grained ship classification with domain knowledge-enhanced vision-language models. - Mingning Guo; Mengwei Wu; Yuxiang Shen; Haifeng Li; Chao Tao (Pattern Recognit., 2025)

BEDI: A Comprehensive Benchmark for Evaluating Embodied Agents on UAVs. - Mingning Guo; Mengwei Wu; Jiarun He; Shaoxian Li; Haifeng Li; Chao Tao (CoRR, 2025)