Peer-reviewed papers, with figures and code where available
Google Scholar profile
Zhao A., Gui Z., Liang J., Liu Y., Peng D., Wei W., Hou S., Wu H.
A pipeline that coordinates large and small language models to extract reusable geoprocessing modelling knowledge from crowdsourced Google Earth Engine scripts.
Gui Z., Huang Z., Chen H., Peng D., Liu Y., Fang G., Lan Q., Zhao A., Wu H.
Parallelises the clustering-by-local-direction-centrality algorithm on Apache Spark with spatial partitioning and performance optimisations for large datasets.
Wei W., Gui Z., Wu C., Zhao A., Peng D., Wu H.
Learns several dynamic visual sub-embeddings per image to capture varied semantics and adds a fast re-ranking stage to improve image-text retrieval.
Hou S., Liang J., Zhao A., Wu H.
Mines operator call relationships from Earth Engine scripts with syntax-tree parsing and frequent-pattern analysis, forming a knowledge base that improves LLM code generation.
Hou S., Zhao A., Liang J., Shen Z., Wu H.
Builds an operator-function knowledge base from Earth Engine scripts, linking operators to the functions they serve, and uses it as retrieval context for geospatial code generation with LLMs.
Hou S., Shen Z., Zhao A., Liang J., Gui Z., Guan X., Li R., Wu H.
Fine-tunes an open LLM on purpose-built geospatial code corpora for pretraining, instruction tuning and evaluation, giving a model specialised in generating geospatial code.
Hou S., Jiao H., Liang J., Shen Z., Zhao A., Wu H.
An LLM-based agent that plans, retrieves geospatial knowledge, and generates and iteratively debugs code to complete geospatial programming tasks.
Wu H., Jiao H., Hou S., Liang J., Shen Z., Zhao A., et al.
Coordinates role-specialised LLM agents in a collaborative workflow that decomposes, writes, reviews and refines geospatial code.
Liang J., Hou S., Zhao A., Xu Q., Xiang L., Li R., Wu H.
Designs a geospatial modeling knowledge graph whose entities and relations are extracted with LLMs, supporting semantic retrieval and recommendation of modeling knowledge.
Liu Y., Gui Z., Xu Y., Gao S., Zhao A., et al.
Introduces a Trajectory Trait Scale inspired by the five-factor personality model, scoring drivers’ extroversion, openness, neuroticism and conscientiousness from GPS trajectory features.
Liang J., Zhao A., Hou S., Wu H., Jin F.
A GPT-assisted workflow that extracts structured knowledge about geographic analysis models from Google Earth Engine scripts and reuses it to support model construction.
Gui Z., Liu X., Zhao A., et al.
Recognises users’ map retrieval intentions from relevance feedback, with geographic ontologies guiding intention inference and its iterative updates.
Yan L., Yang J., Zhang Y., Zhao A., Li X.
Normalises radiometry across Gaofen sensors by detecting unchanged pixels with change detection and a chi-square test, then fitting a relative normalisation model.