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Journal Articles
- 2023
[j14]Yibin Ren
, Xiaofeng Li:
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. 61: 1-15 (2023)- 2022
- [j13]Yibin Ren, Xiaofeng Li, Xiaofeng Yang, Huan Xu:
Development of a Dual-Attention U-Net Model for Sea Ice and Open Water Classification on SAR Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j12]Le Gao, Xiaofeng Li, Fanzhou Kong, Rencheng Yu, Yuan Guo, Yibin Ren:
AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2782-2796 (2022) - [j11]Yibin Ren, Xiaofeng Li, Huan Xu:
A Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j10]Yibin Ren, Xiaofeng Li, Wenhao Zhang:
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. 60: 1-19 (2022) - 2020
- [j9]Yibin Ren, Huanfa Chen, Yong Han, Tao Cheng, Yang Zhang, Ge Chen:
A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes. Int. J. Geogr. Inf. Sci. 34(4): 802-823 (2020) - [j8]Yang Zhang, Tao Cheng, Yibin Ren, Kun Xie:
A novel residual graph convolution deep learning model for short-term network-based traffic forecasting. Int. J. Geogr. Inf. Sci. 34(5): 969-995 (2020) - 2019
- [j7]Yang Zhang, Tao Cheng, Yibin Ren:
A graph deep learning method for short-term traffic forecasting on large road networks. Comput. Aided Civ. Infrastructure Eng. 34(10): 877-896 (2019) - [j6]Yibin Ren, Tao Cheng, Yang Zhang:
Deep spatio-temporal residual neural networks for road-network-based data modeling. Int. J. Geogr. Inf. Sci. 33(9): 1894-1912 (2019) - [j5]Yong Han, Shukang Wang, Yibin Ren, Cheng Wang, Peng Gao, Ge Chen:
Predicting Station-Level Short-Term Passenger Flow in a Citywide Metro Network Using Spatiotemporal Graph Convolutional Neural Networks. ISPRS Int. J. Geo Inf. 8(6): 243 (2019) - [j4]Yong Han, Cheng Wang, Yibin Ren, Shukang Wang, Huangcheng Zheng, Ge Chen:
Short-Term Prediction of Bus Passenger Flow Based on a Hybrid Optimized LSTM Network. ISPRS Int. J. Geo Inf. 8(9): 366 (2019) - 2018
- [j3]Wei Li, Yong Han, Yu Liu, Chenrong Zhu, Yibin Ren, Yanjie Wang, Ge Chen:
Real-Time Location-Based Rendering of Urban Underground Pipelines. ISPRS Int. J. Geo Inf. 7(1): 32 (2018) - 2017
- [j2]Yibin Ren, Zhenjie Chen, Ge Chen, Yong Han, Yanjie Wang:
A Hybrid Process/Thread Parallel Algorithm for Generating DEM from LiDAR Points. ISPRS Int. J. Geo Inf. 6(10): 300 (2017) - 2014
- [j1]Chong Chen, Zhenjie Chen, Manchun Li, Yongxue Liu, Liang Cheng, Yibin Ren:
Parallel relative radiometric normalisation for remote sensing image mosaics. Comput. Geosci. 73: 28-36 (2014)
Conference and Workshop Papers
- 2021
- [c4]Yan Huang, Yibin Ren, Xiaofeng Li:
Classifying Sea Ice Types from SAR Images Using a U-Net-Based Deep Learning Model. IGARSS 2021: 3502-3505 - [c3]Yibin Ren, Xiaofeng Li:
Predicting Daily Arctic Sea Ice Concentration in the Melt Season Based on a Deep Fully Convolution Network Model. IGARSS 2021: 5540-5543 - 2020
- [c2]Yibin Ren, Huan Xu, Bin Liu, Xiaofeng Li:
Sea Ice and Open Water Classification of SAR Images Using a Deep Learning Model. IGARSS 2020: 3051-3054 - [c1]Yingjie Liu, Xiaofeng Li, Yibin Ren:
A Deep Learning Model for Oceanic Mesoscale Eddy Detection Based on Multi-source Remote Sensing Imagery. IGARSS 2020: 6762-6765
Coauthor Index
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