I received a B.S. degree in Electronics and Communications Engineering from Beijing Institute of Technology, Beijing, China, in 2017 and a Ph.D. in Radar Technology Research Institute, Information and Communication Engineering from Beijing Institute of Technology, Beijing, China, 2023. I am currently a Postdoctoral Researcher at the School of Computer Science, Peking University, Beijing, China, and my research covers a wide range of topics in computer vision and deep learning, including remote sensing object detection, recognition, and multimodal large language models. Currently, my main research focus is on exploring universal multimodal large-scale model architectures and algorithms, with a dedication to applying them in areas closely related to people’s livelihoods such as remote sensing intelligent interpretation.

Publications

Google Scholar Profile

^† Corresponding Author     ^* Equal Contribution

1. Regression-Guided Refocusing Learning with Feature Alignment for Remote Sensing Tiny Object Detection
   Lihui Ge, Guanqun Wang^†, Tong Zhang, Yin Zhuang, He Chen, Hao Dong, Liang Chen
   IEEE Transactions on Geoscience and Remote Sensing, 2024

2. Self-Corrected Multimodal Large Language Model for End-to-End Robot Manipulation
   Jiaming Liu, Chenxuan Li, Guanqun Wang*, Lily Lee, Kaichen Zhou, Sixiang Chen, Chuyan Xiong, Jiaxin Ge, Renrui Zhang, Shanghang Zhang^†
   Arxiv

3. DECOR: Dynamic Decoupling and Multiobjective Optimization for Long-Tailed Remote Sensing Image Classification
   Jianlin Xie, Guanqun Wang^†, Yin Zhuang, Can Li, Tong Zhang, He Chen, Liang Chen, Shanghang Zhang
   IEEE Transactions on Geoscience and Remote Sensing, 2024

4. Adaptive Dynamic Label Assignment for Tiny Object Detection in Aerial Images
   Lihui Ge, Guanqun Wang^†, Yin Zhuang, He Chen, Hao Dong, Liang Chen
   IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2024

5. Cloud-Device Collaborative Learning for Multimodal Large Language Models
   Guanqun Wang__, __Jiaming Liu, Chenxuan Li*, Yuan Zhang, Junpeng Ma, Xinyu Wei, Kevin Zhang, Maurice Chong, Renrui Zhang, Yijiang Liu, Shanghang Zhang^†
   Computer Vision and Pattern Recognition (CVPR), 2024

6. Posterior Instance Injection Detector for Arbitrary-Oriented Object Detection from Optical Remote Sensing Imagery
   Tong Zhang, Yin Zhuang, He Chen, Guanqun Wang, Lihui Ge, Liang Chen, Hao Dong, Lianlin Li
   IEEE Transactions on Geoscience and Remote Sensing, 2023

7. Multi-Grained Global-Local Semantic Feature Fusion for Few Shot Remote Sensing Scene Classification
   Yuqing Liu, Tong Zhang, Yin Zhuang, Guanqun Wang, He Chen
   IEEE International Geoscience and Remote Sensing Symposium, 2023

8. Object-Centric Masked Image Modeling Based Self-Supervised Pretraining for Remote Sensing Object Detection
   Tong Zhang, Yin Zhuang, He Chen, Liang Chen, Guanqun Wang, Peng Gao, Hao Dong
   IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2023

9. P2FEViT: Plug-and-Play CNN Feature Embedded Hybrid Vision Transformer for Remote Sensing Image Classification
   Guanqun Wang, He Chen, Liang Chen, Yin Zhuang, Shanghang Zhang, Tong Zhang, Hao Dong, Peng Gao
   Remote Sensing, 2023

10. Consecutive pre-training: A knowledge transfer learning strategy with relevant unlabeled data for remote sensing domain
    Tong Zhang, Peng Gao, Hao Dong, Yin Zhuang, Guanqun Wang, Wei Zhang, He Chen
    Remote Sensing, 2023

11. Adaptive Local Context Embedding for Small Vehicle Detection from Aerial Optical Remote Sensing Images
    Shanjunyu Liu, Yin Zhuang, Hao Dong, Peng Gao, Guanqun Wang, Tong Zhang, Liang Chen, He Chen, Lianlin Li
    IEEE International Geoscience and Remote Sensing Symposium, 2022

12. Multiscale semantic fusion-guided fractal convolutional object detection network for optical remote sensing imagery
    Tong Zhang, Yin Zhuang, Guanqun Wang, Shan Dong, He Chen, Lianlin Li
    IEEE Transactions on Geoscience and Remote Sensing, 2021

13. FSoD-Net: Full-Scale Object Detection From Optical Remote Sensing Imagery
    Guanqun Wang, Yin Zhuang*, He Chen, Xiang Liu, Tong Zhang, Shan Dong, Qianbo Sang
    IEEE Transactions on Geoscience and Remote Sensing, 2021 (Highly Cited in ESI)

14. Improved land cover classification of VHR optical remote sensing imagery based upon detail injection procedure
    Qianbo Sang, Yin Zhuang, Shan Dong, Guanqun Wang, He Chen, Lianlin Li
    IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2020

15. Feature enhanced centernet for object detection in remote sensing images
    Tong Zhang, Guanqun Wang, Yin Zhuang, He Chen, Hao Shi, Liang Chen
    IEEE International Geoscience and Remote Sensing Symposium, 2020

16. A SAR target recognition method with frequency and spatial domain enhancement
    Zhiru Wang, Liang Chen, Baogui Qi, Guanqun Wang, Hao Shi
    IEEE International Conference on Signal, Information and Data Processing, 2019

17. SAR image classification method based on Gabor feature and K‐NN
    Zhiru Wang, Liang Chen, Hao Shi, Baogui Qi, Guanqun Wang
    The Journal of Engineering, 2019

18. FRF-Net: Land cover classification from large-scale VHR optical remote sensing images
    Qianbo Sang, Yin Zhuang, Shan Dong, Guanqun Wang, He Chen
    IEEE Geoscience and Remote Sensing Letters, 2019

19. Spatial enhanced-ssd for multiclass object detection in remote sensing images
    Guanqun Wang, Yin Zhuang, Zhiru Wang, He Chen, Hao Shi, Liang Chen
    IEEE International Geoscience and Remote Sensing Symposium, 2019 (Oral)

20. A novel harbor detection method based on pattern coding algorithm
    Guanqun Wang, Yin Zhuang, He Chen, Liang Chen
    IEEE International Geoscience and Remote Sensing Symposium, 2018

21. Hierarchical sea-land segmentation for panchromatic remote sensing imagery
    Long Ma, Nouman Q.Soomro, JinJing Shen, Liang Chen, Zhihong Mai, Guanqun Wang
    Mathematical Problem in Engineering, 2017

22. A review of ship detection and recognition based on optical remote sensing image
    Liang Chen, Zhiru Wang, Zhong Han, Guanqun Wang, Haotian Zhou, Hao Shi, Cheng Hu, Teng Long
    Science & Technology Review, 2017

Patents

1. 基于层次化显著性分析的遥感图像序列动目标检测方法
2. 一种提升遥感下游任务性能的知识迁移方法
3. 一种二分类嵌入空间引导角度回归的旋转目标检测方法
4. 一种适用于遥感目标检测任务的自监督预训练方法
5. 一种后验实例信息引导的无锚框遥感旋转目标检测方法

Professional Service

• Reviewer for IEEE Transactions on Geoscience and Remote Sensing
• Reviewer for IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing
• Guest Editor of Remote Sensing

Awards and Honors

• “眼神杯”遥感影像稀疏表征与智能处理算法大赛 一等奖 (国家自然科学基金委员会信息科学部)