Shuyang Hou
Orcid: 0009-0000-6984-9959
According to our database1,
Shuyang Hou authored at least 22 papers
between 2024 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Slum Detection and Density Mapping with AlphaEarth Foundations: A Representation Learning Evaluation Across 12 Global Cities.
CoRR, May, 2026
Int. J. Geogr. Inf. Sci., April, 2026
Extraction of geoprocessing modeling knowledge from crowdsourced Google Earth Engine scripts by coordinating large and small language models.
Int. J. Geogr. Inf. Sci., March, 2026
GEE-OPs: an operator knowledge base for geospatial code generation on the Google Earth Engine platform powered by large language models.
Geo spatial Inf. Sci., January, 2026
Expert Syst. Appl., 2026
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
Chain-of-programming (CoP): empowering large language models for geospatial code generation task.
Int. J. Digit. Earth, December, 2025
Design and application of a semantic-driven geospatial modeling knowledge graph based on large language models.
Geo spatial Inf. Sci., November, 2025
AutoGEEval++: A Multi-Level and Multi-Geospatial-Modality Automated Evaluation Framework for Large Language Models in Geospatial Code Generation on Google Earth Engine.
CoRR, June, 2025
AutoGEEval: A Multimodal and Automated Framework for Geospatial Code Generation on GEE with Large Language Models.
CoRR, May, 2025
Geo-FuB: A method for constructing an Operator-Function knowledge base for geospatial code generation with large language models.
Knowl. Based Syst., 2025
AutoGEEval: A Multimodal and Automated Evaluation Framework for Geospatial Code Generation on GEE with Large Language Models.
ISPRS Int. J. Geo Inf., 2025
GeoJSEval: An Automated Evaluation Framework for Large Language Models on JavaScript-Based Geospatial Computation and Visualization Code Generation.
ISPRS Int. J. Geo Inf., 2025
GeoColab: an LLM-based multi-agent collaborative framework for geospatial code generation.
Int. J. Digit. Earth, 2025
Decoding cell fate: integrated experimental and computational analysis at the single-cell level.
Bioinform., 2025
GeoGraphRAG: A graph-based retrieval-augmented generation approach for empowering large language models in automated geospatial modeling.
Int. J. Appl. Earth Obs. Geoinformation, 2025
Int. J. Appl. Earth Obs. Geoinformation, 2025
2024
A GPT-enhanced framework on knowledge extraction and reuse for geographic analysis models in Google Earth Engine.
Int. J. Digit. Earth, December, 2024
Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation.
CoRR, 2024
Geo-FuB: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language Models.
CoRR, 2024