Linshu Hu

Orcid: 0000-0003-0015-0570

According to our database1, Linshu Hu authored at least 13 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
STUBRIN: A Spatio-Temporal Prediction Enhanced Learned Index for Spatial Data.
IEEE Trans. Knowl. Data Eng., July, 2026

TBSI: a Transformer-based spatial learned index for efficient construction and query.
Int. J. Geogr. Inf. Sci., July, 2026

2024
Using PySpark to accelerate batch data point rotation for paleogeographic reconstruction.
Int. J. Digit. Earth, December, 2024

DCPMS: A Large-Scale Raster Layer Serving Method for Custom Online Calculation and Rendering.
ISPRS Int. J. Geo Inf., August, 2024

Mitigating Interpretation Bias in Rock Records with Large Language Models: Insights from Paleoenvironmental Analysis.
CoRR, 2024

Enhancing mineral prospectivity mapping with geospatial artificial intelligence: A geographically neural network-weighted logistic regression approach.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
A Graph Memory Neural Network for Sea Surface Temperature Prediction.
Remote. Sens., July, 2023

SLBRIN: A Spatial Learned Index Based on BRIN.
ISPRS Int. J. Geo Inf., 2023

2022
A Dynamic Pyramid Tilling Method for Traffic Data Stream Based on Flink.
IEEE Trans. Intell. Transp. Syst., 2022

2021
RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images.
Remote. Sens., 2021

Sea Surface Salinity Estimation and Spatial-Temporal Heterogeneity Analysis in the Gulf of Mexico.
Remote. Sens., 2021

2020
Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific Enhancement.
Remote. Sens., 2020

Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution Method.
Remote. Sens., 2020


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