8 citations · 18 across the 15 of their papers we have counts for
18 papers
STR-Agent: An LLM-Driven Agent for QoS-Aware Routing in LEO Satellite Networks
Bowen Lu, Mugen Peng, Yaohua Sun +3
LEO satellite networks feature dynamic topologies, time-varying links, and diverse service requirements, which make conventional routing schemes difficult to support fine-grained q…
Task-Oriented Semantic Feature Transmission for Multi-Task Satellite Remote Sensing over Low-SNR Channels
Shuoyuan Sun, Hongyu Wang, Mugen Peng +1
Conventional satellite remote sensing transmission follows a reconstruct-then-infer paradigm that optimizes pixel-level fidelity, creating an objective mismatch with downstream tas…
HiRS-Agent: A Hierarchical Multi-Agent System for Reliable Long-Horizon Remote Sensing Task Solving
Boyang Mu, Zhiwei Wei, Mugen Peng +1
Recent advances in large language models and multimodal models have pushed remote sensing (RS) processing from simple perception models to agentic systems designed to tackle comple…
Toward AI-Friendly Cartography: Understanding How Color Design Influences Foundation Model Spatial Reasoning on Sequential Choropleth Maps
Yonghe Sun, Zhenjia Liu, Hua Liao +4
Foundation models (FMs) increasingly support multimodal and geospatial reasoning, yet it remains unclear whether cartographic principles designed for human perception are equally e…
Do Maps Still Matter for Machines: Revisiting the Role of Choropleth Maps in Foundation Model Spatial Understanding
Zhiwei Wei, Yonghe Sun, Zhenjia Liu +5
Spatial understanding is crucial for foundation models (FMs), and maps have long helped humans organize and reason about geographic information. This study examines whether choropl…
GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing
Yujie Li, Jiancheng Pan, Zhiwei Wei +3
Remote sensing offers an unparalleled vantage point for observing the Earth's long-term surface evolution, yet it demands that a model not only perceive land cover at isolated mome…
Self in Space: Benchmarking Self-Awareness and Spatial Cognition in UAV Embodied Intelligence
Zhishan Zou, Guoyan Sun, Zhiwei Wei +4
Autonomous UAV systems increasingly rely on multimodal large language models (MLLMs) to operate in complex real-world environments. Such embodied scenarios require not only underst…
Graph-RHO: Critical-path-aware Heterogeneous Graph Network for Long-Horizon Flexible Job-Shop Scheduling
Yujie Li, Jiuniu Wang, Mugen Peng +2
Long-horizon Flexible Job-Shop Scheduling~(FJSP) presents a formidable combinatorial challenge due to complex, interdependent decisions spanning extended time horizons. While learn…
Thinking on Maps: How Foundation Model Agents Explore, Remember, and Reason Map Environments
Zhiwei Wei, Yuxing Liu, Hua Liao +1
Map environments provide a fundamental medium for representing spatial structure. Understanding how foundation model (FM) agents understand and act in such environments is therefor…
BTCChat: Advancing Remote Sensing Bi-temporal Change Captioning with Multimodal Large Language Model
Yujie Li, Wenjia Xu, Yuanben Zhang +2
Bi-temporal satellite imagery supports critical applications such as urbanization monitoring and disaster assessment. Although powerful multimodal large language models~(MLLMs) hav…
Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention
Jiuniu Wang, Wenjia Xu, Qingzhong Wang +1
Recent advances in image captioning have focused on enhancing accuracy by substantially increasing the dataset and model size. While conventional captioning models exhibit high per…
TS-SatMVSNet: Slope Aware Height Estimation for Large-Scale Earth Terrain Multi-view Stereo
Song Zhang, Zhiwei Wei, Wenjia Xu +4
3D terrain reconstruction with remote sensing imagery achieves cost-effective and large-scale earth observation and is crucial for safeguarding natural disasters, monitoring ecolog…
UniRS: Unifying Multi-temporal Remote Sensing Tasks through Vision Language Models
Yujie Li, Wenjia Xu, Guangzuo Li +4
The domain gap between remote sensing imagery and natural images has recently received widespread attention and Vision-Language Models (VLMs) have demonstrated excellent generaliza…
Optimized 3D Point Labeling with Leaders Using the Beams Displacement Method
Zhiwei Wei, Nai Yang, Wenjia Xu +4
In three-dimensional geographical scenes, adding labels with leader lines to point features can significantly improve their visibility. Leadered labels have a large degree of freed…
Generating grid maps via the snake model
Zhiwei Wei, Nai Yang, Wenjia Xu +1
The grid map, often referred to as the tile map, stands as a vital tool in geospatial visualization, possessing unique attributes that differentiate it from more commonly known tec…
RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent
Wenjia Xu, Zijian Yu, Boyang Mu +3
Recent advances in Multimodal Large Language Models (MLLMs) have shown promise for remote sensing tasks such as visual question answering and scene understanding. However, existing…
UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization
Wenjia Xu, Yaxuan Yao, Jiaqi Cao +4
The application of unmanned aerial vehicles (UAV) has been widely extended recently. It is crucial to ensure accurate latitude and longitude coordinates for UAVs, especially when t…
Jointly Optimized Global-Local Visual Localization of UAVs
Haoling Li, Jiuniu Wang, Zhiwei Wei +1
Navigation and localization of UAVs present a challenge when global navigation satellite systems (GNSS) are disrupted and unreliable. Traditional techniques, such as simultaneous l…