Shuyang Hou

Orcid: 0009-0000-6984-9959

According to our database1, Shuyang Hou authored at least 22 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

On csauthors.net:

Bibliography

2026
Slum Detection and Density Mapping with AlphaEarth Foundations: A Representation Learning Evaluation Across 12 Global Cities.
CoRR, May, 2026

GeoCogent: an LLM-based agent for geospatial code generation.
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

GeoSQL-Eval: first evaluation of LLMs on PostGIS-based NL2GeoSQL queries.
Expert Syst. Appl., 2026

SubTokenTest: A Practical Benchmark for Real-World Sub-token Understanding.
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

GeoCode-GPT: A large language model for geospatial code generation.
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

GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks.
CoRR, 2024

Can Large Language Models Generate Geospatial Code?
CoRR, 2024


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