Yibin Ren

Orcid: 0000-0002-7327-7575

According to our database1, Yibin Ren authored at least 18 papers between 2014 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Bibliography

2023
Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
A Data-Driven Deep Learning Model for Weekly Sea Ice Concentration Prediction of the Pan-Arctic During the Melting Season.
IEEE Trans. Geosci. Remote. Sens., 2022

A Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images.
IEEE Trans. Geosci. Remote. Sens., 2022

AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Development of a Dual-Attention U-Net Model for Sea Ice and Open Water Classification on SAR Images.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Predicting Daily Arctic Sea Ice Concentration in the Melt Season Based on a Deep Fully Convolution Network Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Classifying Sea Ice Types from SAR Images Using a U-Net-Based Deep Learning Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
A novel residual graph convolution deep learning model for short-term network-based traffic forecasting.
Int. J. Geogr. Inf. Sci., 2020

A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes.
Int. J. Geogr. Inf. Sci., 2020

Sea Ice and Open Water Classification of SAR Images Using a Deep Learning Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

A Deep Learning Model for Oceanic Mesoscale Eddy Detection Based on Multi-source Remote Sensing Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Short-Term Prediction of Bus Passenger Flow Based on a Hybrid Optimized LSTM Network.
ISPRS Int. J. Geo Inf., 2019

Predicting Station-Level Short-Term Passenger Flow in a Citywide Metro Network Using Spatiotemporal Graph Convolutional Neural Networks.
ISPRS Int. J. Geo Inf., 2019

Deep spatio-temporal residual neural networks for road-network-based data modeling.
Int. J. Geogr. Inf. Sci., 2019

A graph deep learning method for short-term traffic forecasting on large road networks.
Comput. Aided Civ. Infrastructure Eng., 2019

2018
Real-Time Location-Based Rendering of Urban Underground Pipelines.
ISPRS Int. J. Geo Inf., 2018

2017
A Hybrid Process/Thread Parallel Algorithm for Generating DEM from LiDAR Points.
ISPRS Int. J. Geo Inf., 2017

2014
Parallel relative radiometric normalisation for remote sensing image mosaics.
Comput. Geosci., 2014


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