Multimodal LLMs
Studying the joint modeling of vision, language, and knowledge to explore how multimodal large language models understand complex scenes, connect information from multiple sources, and reason.
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Bringing together vision, language, and information from air and space to build intelligent systems that perceive and reason
We focus on integrated communications and remote sensing for low-Earth-orbit satellites, multimodal large language models, and agents, exploring scientific questions at the intersection of these fields.
What we work on
View ResearchOur research spans four areas: multimodal large language models, agents, LEO communications and network intelligence, and Earth observation applications. Across these areas, we explore the integration of sensing, communications, and intelligent decision-making.
Agents
Studying how agents understand tasks, make plans, use tools, and collaborate, and exploring methods for completing complex tasks in open and dynamic environments.
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LEO Communications and Network Intelligence
Studying theories and methods for coordinating sensing, communication, computing, and decision-making under changing connectivity and resource constraints in low-Earth-orbit satellite networks.
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Earth Observation Applications
Integrating satellite observations, UAV data, and geospatial information from multiple sources to investigate methods for characterizing land-surface environments, analyzing changes, and reconstructing spatial structure, supporting the interpretation and application of Earth observation data.
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View TeamTogether, we explore the frontiers of perception, cognition, and intelligence.
Wenjia Xu 许文嘉
Associate Professor · PhD Supervisor
School of Information and Communication Engineering, BUPT
My research focuses on the theory and methods of multimodal intelligence and integrated sensing and communications.
Multimodal LLMs Agents Integrated Communications and Remote Sensing
1,370+ Total citations
h-index 18 Google Scholar
40+ Publications
Students & alumni
20 Members
7 PhD Students
13 Master Students
5 Alumni
Hongyu Wang PhD Student 
Siyuan Wan PhD Student 
Ruiqing Yu PhD Student 
Xun Li PhD Student 
Yuhuan Huang PhD Student 
Yuxin He PhD Student 
Zengmao Li 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 
Kailu Zhang Master Student We aim to cultivate independent thinkers and original researchers who develop a discerning sense of what is worth pursuing and shape their own research directions by tackling important problems.
Ample computing resources Global network for collaboration and mentorship Scientific questions at the frontier
Featured News
View NewsFollow our latest publications, awards, field activities, student achievements, and research updates from IntelliSense Lab.
Latest Publications
View publicationsOur latest work in computer vision, language intelligence, multi-modal learning, and remote sensing.
RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
Science China Information Sciences
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Life beyond research
Dinners, outings and the conferences we travelled to together — the part of lab life that does not show up in a paper.
