Dehua Peng
Orcid: 0000-0002-9842-0796
According to our database1,
Dehua Peng authored at least 18 papers
between 2020 and 2026.
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Bibliography
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
SFPL: Sensitivity feature perception learning based on stochastic differential equations for temporal knowledge graph completion.
Knowl. Based Syst., 2026
Topological and semantic contrastive graph clustering by Ricci curvature augmentation and hypergraph fusion.
Knowl. Based Syst., 2026
2025
Individual mobility prediction by considering current traveling features and historical activity chain.
Geo spatial Inf. Sci., November, 2025
A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion.
IEEE Trans. Circuits Syst. Video Technol., August, 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
ScaleFC: A scale-aware geographical flow clustering algorithm for heterogeneous origin-destination data.
Comput. Environ. Urban Syst., 2025
IEEE Trans. Multim., 2025
2024
Scalable manifold learning by uniform landmark sampling and constrained locally linear embedding.
CoRR, 2024
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect.
CoRR, 2024
2023
MeanCut: A Greedy-Optimized Graph Clustering via Path-based Similarity and Degree Descent Criterion.
CoRR, 2023
A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion.
CoRR, 2023
2022
Population spatialization with pixel-level attribute grading by considering scale mismatch issue in regression modeling.
Geo spatial Inf. Sci., 2022
2021
LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points.
Neurocomputing, 2021
2020
A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction.
Neurocomputing, 2020
Optimizing and accelerating space-time Ripley 's K function based on Apache Spark for distributed spatiotemporal point pattern analysis.
Future Gener. Comput. Syst., 2020
MSGC: Multi-scale grid clustering by fusing analytical granularity and visual cognition for detecting hierarchical spatial patterns.
Future Gener. Comput. Syst., 2020