Yanxing Liu
Yanxing Liu is a Ph.D. student in Aerospace Information Engineering at the University of Chinese Academy of Sciences (UCAS). He received his B.E. degree from the School of Electronics and Information Engineering, Tianjin University, China in 2021.
His research focuses on few-shot object detection, remote sensing image analysis, and deep learning, with publications in top venues such as IEEE T-GRS, AAAI, and IEEE GRSL.
He is open to research collaborations and visiting opportunities related to his research areas. Feel free to reach out via email.
Research Interests
- Few-Shot Object Detection
- Remote Sensing Image Analysis
- Open-Vocabulary Detection
- Diffusion Models for Data Augmentation
- Multimodal Learning
News
- [2025-11] A paper has been accepted by IEEE GRSL.
- [2025-10] Awarded the National Scholarship for Doctoral Students (博士研究生国家奖学金).
- [2025-07] A paper has been accepted by IGARSS 2025.
- [2025-05] A paper has been posted on arXiv (EarthSynth).
- [2025-03] Runner-up in the NTIRE25 Challenge, CVPR 2025 Workshop.
- [2024-12] A paper has been accepted by IEEE JSTARS.
- [2024-12] A paper has been accepted by AAAI 2025.
- [2024-12] A paper has been accepted by Remote Sensing.
- [2024-02] A paper has been accepted by IEEE T-GRS.
Internship
- Research Intern (Large Language Models) — Shanghai Artificial Intelligence Laboratory
- May 2024 – Aug 2024
- Algorithm Engineer Intern (Multimodal) — ByteDance
- Mar 2025 – Jan 2026
Selected Publications
- IEEE
T-GRS - Remote
SensingMulti-Modal Prototypes for Few-Shot Object Detection in Remote Sensing Images
Remote Sensing, 2024
- AAAI
2025 - IGARSS
2025Control Copy-Paste: Controllable Diffusion-Based Augmentation Method For Remote Sensing Few-Shot Object Detection
IGARSS 2025, Brisbane, Australia
- IEEE
GRSLDiverse Instance Generation via Diffusion Models for Enhanced Few-Shot Object Detection in Remote Sensing Images
IEEE Geoscience and Remote Sensing Letters, vol. 22, 2025
