4 citations · 11 across the 7 of their papers we have counts for
7 papers
AxiomOcean: Forecasting the Three-Dimensional Structure of the Upper Ocean
Sensen Wu, Yifan Chen, Guantao Pu +9
Short-term ocean forecast skill depends strongly on the three-dimensional ocean structure of the upper ocean, which governs stratification, subsurface heat storage, and the respons…
GeoJSON Agents:A Multi-Agent LLM Architecture for Geospatial Analysis-Function Calling vs Code Generation
Qianqian Luo, Qingming Lin, Liuchang Xu +6
Large Language Models (LLMs) have demonstrated substantial progress in task automation and natural language understanding. However, without domain expertise in geographic informati…
ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile Processing
Qingming Lin, Rui Hu, Huaxia Li +6
Vector data is one of the two core data structures in geographic information science (GIS), essential for accurately storing and representing geospatial information. Shapefile, the…
From Geometric Mimicry to Comprehensive Generation: A Context-Informed Multimodal Diffusion Model for Urban Morphology Synthesis
Fangshuo Zhou, Huaxia Li, Liuchang Xu +5
Urban morphology is fundamental to determining urban functionality and vitality. Prevailing simulation methods, however, often oversimplify morphological generation as a geometric…
Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study
Liuchang Xu, Shuo Zhao, Qingming Lin +6
The emergence of large language models such as ChatGPT, Gemini, and others highlights the importance of evaluating their diverse capabilities, ranging from natural language underst…
LOGCAN++: Adaptive Local-global class-aware network for semantic segmentation of remote sensing imagery
Xiaowen Ma, Rongrong Lian, Zhenkai Wu +6
Remote sensing images usually characterized by complex backgrounds, scale and orientation variations, and large intra-class variance. General semantic segmentation methods usually…
House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China
Zimo Wang, Yicheng Wang, Sensen Wu
Confronted with the spatial heterogeneity of real estate market, some traditional research utilized Geographically Weighted Regression (GWR) to estimate the house price. However, i…