Yibin Ren

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model.

Yibin Ren, Xiaofeng Li

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.

Yibin Ren, Xiaofeng Li, Wenhao Zhang

IEEE Trans. Geosci. Remote. Sens., 2022

A Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images.

Yibin Ren, Xiaofeng Li, Huan Xu

IEEE Trans. Geosci. Remote. Sens., 2022

AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery.

Le Gao, Xiaofeng Li, Fanzhou Kong, Rencheng Yu, Yuan Guo, Yibin Ren

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.

Yibin Ren, Xiaofeng Li, Xiaofeng Yang, Huan Xu

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.

Yibin Ren, Xiaofeng Li

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.

Yan Huang, Yibin Ren, Xiaofeng Li

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.

Yang Zhang, Tao Cheng, Yibin Ren, Kun Xie

Int. J. Geogr. Inf. Sci., 2020

A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes.

Yibin Ren, Huanfa Chen, Yong Han, Tao Cheng, Yang Zhang, Ge Chen

Int. J. Geogr. Inf. Sci., 2020

Sea Ice and Open Water Classification of SAR Images Using a Deep Learning Model.

Yibin Ren, Huan Xu, Bin Liu, Xiaofeng Li

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.

Yingjie Liu, Xiaofeng Li, Yibin Ren

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.

Yong Han, Cheng Wang, Yibin Ren, Shukang Wang, Huangcheng Zheng, Ge Chen

ISPRS Int. J. Geo Inf., 2019

Predicting Station-Level Short-Term Passenger Flow in a Citywide Metro Network Using Spatiotemporal Graph Convolutional Neural Networks.

Yong Han, Shukang Wang, Yibin Ren, Cheng Wang, Peng Gao, Ge Chen

ISPRS Int. J. Geo Inf., 2019

Deep spatio-temporal residual neural networks for road-network-based data modeling.

Yibin Ren, Tao Cheng, Yang Zhang

Int. J. Geogr. Inf. Sci., 2019

A graph deep learning method for short-term traffic forecasting on large road networks.

Yang Zhang, Tao Cheng, Yibin Ren

Comput. Aided Civ. Infrastructure Eng., 2019

2018

Real-Time Location-Based Rendering of Urban Underground Pipelines.

Wei Li, Yong Han, Yu Liu, Chenrong Zhu, Yibin Ren, Yanjie Wang, Ge Chen

ISPRS Int. J. Geo Inf., 2018

2017

A Hybrid Process/Thread Parallel Algorithm for Generating DEM from LiDAR Points.

Yibin Ren, Zhenjie Chen, Ge Chen, Yong Han, Yanjie Wang

ISPRS Int. J. Geo Inf., 2017

2014

Parallel relative radiometric normalisation for remote sensing image mosaics.

Chong Chen, Zhenjie Chen, Manchun Li, Yongxue Liu, Liang Cheng, Yibin Ren

Comput. Geosci., 2014