Parallel relative radiometric normalisation for remote sensing image mosaics. - Chong Chen 008; Zhenjie Chen; Manchun Li; Yongxue Liu; Liang Cheng 003; Yibin Ren (Comput. Geosci., 2014)

A Hybrid Process/Thread Parallel Algorithm for Generating DEM from LiDAR Points. - Yibin Ren; Zhenjie Chen; Ge Chen 002; Yong Han; Yanjie Wang (ISPRS Int. J. Geo Inf., 2017)

Real-Time Location-Based Rendering of Urban Underground Pipelines. - Wei Li; Yong Han; Yu Liu; Chenrong Zhu; Yibin Ren; Yanjie Wang; Ge Chen 002 (ISPRS Int. J. Geo Inf., 2018)

A graph deep learning method for short-term traffic forecasting on large road networks. - Yang Zhang 039; Tao Cheng 004; Yibin Ren (Comput. Aided Civ. Infrastructure Eng., 2019)

Deep spatio-temporal residual neural networks for road-network-based data modeling. - Yibin Ren; Tao Cheng 004; Yang Zhang 039 (Int. J. Geogr. Inf. Sci., 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 002 (ISPRS Int. J. Geo Inf., 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 002 (ISPRS Int. J. Geo Inf., 2019)

A Deep Learning Model for Oceanic Mesoscale Eddy Detection Based on Multi-source Remote Sensing Imagery. - Yingjie Liu; Xiaofeng Li 001; Yibin Ren (IGARSS, 2020)

Sea Ice and Open Water Classification of SAR Images Using a Deep Learning Model. - Yibin Ren; Huan Xu; Bin Liu 019; Xiaofeng Li 001 (IGARSS, 2020)

A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes. - Yibin Ren; Huanfa Chen; Yong Han; Tao Cheng 004; Yang Zhang 039; Ge Chen 002 (Int. J. Geogr. Inf. Sci., 2020)

A novel residual graph convolution deep learning model for short-term network-based traffic forecasting. - Yang Zhang 039; Tao Cheng 004; Yibin Ren; Kun Xie 002 (Int. J. Geogr. Inf. Sci., 2020)

Classifying Sea Ice Types from SAR Images Using a U-Net-Based Deep Learning Model. - Yan Huang; Yibin Ren; Xiaofeng Li 001 (IGARSS, 2021)

Predicting Daily Arctic Sea Ice Concentration in the Melt Season Based on a Deep Fully Convolution Network Model. - Yibin Ren; Xiaofeng Li 001 (IGARSS, 2021)

Development of a Dual-Attention U-Net Model for Sea Ice and Open Water Classification on SAR Images. - Yibin Ren; Xiaofeng Li 001; Xiaofeng Yang 002; Huan Xu (IEEE Geosci. Remote. Sens. Lett., 2022)

AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery. - Le Gao; Xiaofeng Li 001; Fanzhou Kong; Rencheng Yu; Yuan Guo; Yibin Ren (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images. - Yibin Ren; Xiaofeng Li 001; Huan Xu (IEEE Trans. Geosci. Remote. Sens., 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 001; Wenhao Zhang (IEEE Trans. Geosci. Remote. Sens., 2022)

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 001 (IEEE Trans. Geosci. Remote. Sens., 2023)