Qinjun Qiu

Orcid: 0000-0003-1891-0363

According to our database1, Qinjun Qiu authored at least 28 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Chinese engineering geological named entity recognition by fusing multi-features and data enhancement using deep learning.
Expert Syst. Appl., March, 2024

2023
Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association.
ISPRS Int. J. Geo Inf., December, 2023

CnGeoPLM: Contextual knowledge selection and embedding with pretrained language representation model for the geoscience domain.
Earth Sci. Informatics, December, 2023

Spatio-Temporal Relevance Classification from Geographic Texts Using Deep Learning.
ISPRS Int. J. Geo Inf., September, 2023

NeuroSPE: A neuro-net spatial relation extractor for natural language text fusing gazetteers and pretrained models.
Trans. GIS, August, 2023

BERTCWS: unsupervised multi-granular Chinese word segmentation based on a BERT method for the geoscience domain.
Ann. GIS, July, 2023

PointNest: Learning Deep Multiscale Nested Feature Propagation for Semantic Segmentation of 3-D Point Clouds.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

A geometry-aware attention network for semantic segmentation of MLS point clouds.
Int. J. Geogr. Inf. Sci., 2023

A distributed joint extraction framework for sedimentological entities and relations with federated learning.
Expert Syst. Appl., 2023

2022
Geographic Named Entity Recognition by Employing Natural Language Processing and an Improved BERT Model.
ISPRS Int. J. Geo Inf., December, 2022

ChineseTR: A weakly supervised toponym recognition architecture based on automatic training data generator and deep neural network.
Trans. GIS, 2022

Spatially oriented convolutional neural network for spatial relation extraction from natural language texts.
Trans. GIS, 2022

Chinese toponym recognition with variant neural structures from social media messages based on BERT methods.
J. Geogr. Syst., 2022

Understanding geological reports based on knowledge graphs using a deep learning approach.
Comput. Geosci., 2022

Text visualization for geological hazard documents via text mining and natural language processing.
Earth Sci. Informatics, 2022

Extraction of temporal information from social media messages using the BERT model.
Earth Sci. Informatics, 2022

What is this article about? Generative summarization with the BERT model in the geosciences domain.
Earth Sci. Informatics, 2022

Few-shot learning for name entity recognition in geological text based on GeoBERT.
Earth Sci. Informatics, 2022

2021
DA-RoadNet: A Dual-Attention Network for Road Extraction From High Resolution Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

DGANet: A Dilated Graph Attention-Based Network for Local Feature Extraction on 3D Point Clouds.
Remote. Sens., 2021

WSGAN: An Improved Generative Adversarial Network for Remote Sensing Image Road Network Extraction by Weakly Supervised Processing.
Remote. Sens., 2021

2020
Unsupervised Haze Removal for High-Resolution Optical Remote-Sensing Images Based on Improved Generative Adversarial Networks.
Remote. Sens., 2020

Automatic spatiotemporal and semantic information extraction from unstructured geoscience reports using text mining techniques.
Earth Sci. Informatics, 2020

2019
Geoscience keyphrase extraction algorithm using enhanced word embedding.
Expert Syst. Appl., 2019

BiLSTM-CRF for geological named entity recognition from the geoscience literature.
Earth Sci. Informatics, 2019

2018
DGeoSegmenter: A dictionary-based Chinese word segmenter for the geoscience domain.
Comput. Geosci., 2018

Ontology-Based Enhanced Word Embedding for Automated Information Extraction from Geoscience Reports.
Proceedings of the 26th International Conference on Geoinformatics, 2018

2017
Research on visual background extractor to identify the vehicles based on edge similarity.
Int. J. Wirel. Mob. Comput., 2017


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