Multi-modal LLMs & Agents
Vision-language multi-modal LLMs, in-context learning, model compression and pruning, and agent systems for real-world tasks such as remote sensing.
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Building machines that perceive and reason — at the crossroads of vision, language and remote sensing
Led by Dr. Wenjia Xu, our group works at the intersection of computer vision, natural language processing and remote sensing, with a focus on multi-modal large language models, agents, and few-shot learning.
The scientific questions we address
View ResearchOur work spans vision, language and remote sensing, organized around perception, understanding and decision-making.
Few-shot / Zero-shot Learning
Attribute prototype networks and visual-semantic embeddings that recognize novel categories from few or zero labeled samples.
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Vision-Language Understanding
Image captioning, distinctive captioning and visual-semantic alignment - so models not only see, but describe.
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Remote Sensing Intelligence
Super-resolution, UAV visual localization, height estimation and change detection for Earth observation and sustainability.
Learn morePeople behind these scientific questions
View TeamWe are driven by creativity and curiosity to push back the frontiers of knowledge
Wenjia Xu 许文嘉
Associate Professor · PhD Supervisor
School of Information and Communication Engineering, BUPT
Research across computer vision, natural language processing and remote sensing, focusing on agents, multimodal large language models and few-shot learning.
Computer Vision Natural Language Processing Remote Sensing
1,370+ Total citations
h-index 18 Google Scholar
40+ Publications
Students & research assistants
18 Members
6 PhD Students
12 Master Students
0 Research Assistants
Hongyu Wang PhD Student 
Siyuan Wan PhD Student 
Ruiqing Yu PhD Student 
Xun Li PhD Student 
Yuhuan Huang PhD Student 
Yuxin He PhD Student 
Shuoyuan Sun Master Student 
Boyang Mu Master Student 
Bowen Lu Master Student 
Mudi Zhu Master Student 
Yujie Li Master Student 
Minghao Xue Master Student 
Xuhao Chen Master Student 
Shengjie Qin Master Student 
Guoyan Sun Master Student 
Chengwen Zheng Master Student 
Shengxian Wang Master Student 
Zhishan Zou Master Student Explore critical questions in Earth observation with outstanding collaborators, turning remote sensing data into knowledge for a more sustainable future.
Adequate computational power support Global collaboration network Cutting-edge scientific questions
Moments across Earth
Fieldwork, conferences and the moments that connect our team across the world.
Featured News
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Latest Publications
View publicationsOur latest work in computer vision, language intelligence, multi-modal learning, and remote sensing.
Latest Blogs
View blogsResearch notes, technical reflections, and ideas taking shape inside IntelliSensing Lab.