Fengxiang Wang

According to our database, Fengxiang Wang authored at least 19 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding.

Yueying Li, Fengxiang Wang, Yan Li, Mingshuo Chen, Mengying Zhao, Long Lan

CoRR, April, 2026

PReD: An LLM-based Foundation Multimodal Model for Electromagnetic Perception, Recognition, and Decision.

Zehua Han, Jing Xiao, Yiqi Duan, Mengyu Xiang, Yuheng Ji, Xiaolong Zheng, Chenghanyu Zhang, Zhendong She, Junyu Shen, Dingwei Tan, Shichu Sun, Zhou Cong, Mingxuan Liu, Fengxiang Wang, Jinping Sun, Yangang Sun

CoRR, March, 2026

MERLIN: Building Low-SNR Robust Multimodal LLMs for Electromagnetic Signals.

Junyu Shen, Zhendong She, Chenghanyu Zhang, Yuchuang Sun, Luqing Luo, Dingwei Tan, Zonghao Guo, Bo Guo, Zehua Han, Wupeng Xie, Yaxin Mu, Peng Zhang, Peipei Li, Fengxiang Wang, Yangang Sun, Maosong Sun

CoRR, March, 2026

Text Before Vision: Staged Knowledge Injection Matters for Agentic RLVR in Ultra-High-Resolution Remote Sensing Understanding.

Fengxiang Wang, Mingshuo Chen, Yueying Li, Yajie Yang, Yuhao Zhou, Di Wang, Yifan Zhang, Haoyu Wang, Haiyan Zhao, Hongda Sun, Long Lan, Jun Song, Yulin Wang, Jing Zhang, Wenlong Zhang, Bo Du

CoRR, February, 2026

GeoEyes: On-Demand Visual Focusing for Evidence-Grounded Understanding of Ultra-High-Resolution Remote Sensing Imagery.

Fengxiang Wang, Mingshuo Chen, Yueying Li, Yajie Yang, Yifan Zhang, Long Lan, Xue Yang, Hongda Sun, Yulin Wang, Di Wang, Jun Song, Jing Zhang, Bo Du

CoRR, February, 2026

Reference-Free Enhancement of Forward-Looking Sonar Images: Bridging Cross-Modal Degradation Gaps Through Deformable Wavelet Scattering Transform and Multi-Frame Fusion.

Zhisheng Zhang, Peng Zhang, Fengxiang Wang, Liangli Ma, Fuchun Sun

IEEE Trans. Computational Imaging, 2026

2025

GeoZero: Incentivizing Reasoning from Scratch on Geospatial Scenes.

Di Wang, Shunyu Liu, Wentao Jiang, Fengxiang Wang, Yi Liu, Xiaolei Qin, Zhiming Luo, Chaoyang Zhou, Haonan Guo, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang

CoRR, November, 2025

Co-Training Vision Language Models for Remote Sensing Multi-task Learning.

Qingyun Li, Shuran Ma, Junwei Luo, Yi Yu, Yue Zhou, Fengxiang Wang, Xudong Lu, Xiaoxing Wang, Xin He, Yushi Chen, Xue Yang, Junchi Yan

CoRR, November, 2025

OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data.

Fengxiang Wang, Mingshuo Chen, Xuming He, Yifan Zhang, Feng Liu, Zijie Guo, Zhenghao Hu, Jiong Wang, Jingyi Xu, Zhangrui Li, Fenghua Ling, Ben Fei, Weijia Li, Long Lan, Wenjing Yang, Wenlong Zhang, Lei Bai

CoRR, May, 2025

GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution.

Fengxiang Wang, Mingshuo Chen, Yueying Li, Di Wang, Haotian Wang, Zonghao Guo, Zefan Wang, Boqi Shan, Long Lan, Yulin Wang, Hongzhen Wang, Wenjing Yang, Bo Du, Jing Zhang

CoRR, May, 2025

TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series.

Xiaolei Qin, Di Wang, Jing Zhang, Fengxiang Wang, Xin Su, Bo Du, Liangpei Zhang

CoRR, May, 2025

Self-Supervised Enhancement of Forward-Looking Sonar Images: Bridging Cross-Modal Degradation Gaps through Feature Space Transformation and Multi-Frame Fusion.

Zhisheng Zhang, Peng Zhang, Fengxiang Wang, Liangli Ma, Fuchun Sun

CoRR, April, 2025

RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing.

Fengxiang Wang, Hongzhen Wang, Yulin Wang, Di Wang, Mingshuo Chen, Haiyan Zhao, Yangang Sun, Shuo Wang, Long Lan, Wenjing Yang, Jing Zhang

CoRR, March, 2025

Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification.

Long Lan, Fengxiang Wang, Xiangtao Zheng, Zengmao Wang, Xinwang Liu

IEEE Trans. Geosci. Remote. Sens., 2025

Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling.

Fengxiang Wang, Hongzhen Wang, Di Wang, Zonghao Guo, Zhenyu Zhong, Long Lan, Wenjing Yang, Jing Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?

Fengxiang Wang, Hongzhen Wang, Zonghao Guo, Di Wang, Yulin Wang, Mingshuo Chen, Qiang Ma, Long Lan, Wenjing Yang, Jing Zhang, Zhiyuan Liu, Maosong Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Scaling Efficient Masked Autoencoder Learning on Large Remote Sensing Dataset.

Fengxiang Wang, Hongzhen Wang, Di Wang, Zonghao Guo, Zhenyu Zhong, Long Lan, Jing Zhang, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification.

Long Lan, Fengxiang Wang, Shuyan Li, Xiangtao Zheng, Zengmao Wang, Xinwang Liu

CoRR, 2024

Learning to Learn Better Visual Prompts.

Fengxiang Wang, Wanrong Huang, Shaowu Yang, Qi Fan, Long Lan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024