Ye Li

Orcid: 0000-0003-1303-7219

Affiliations:

Chinese Academy of Sciences, Key Laboratory of Space Utilization, Beijing
Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing

According to our database¹, Ye Li authored at least 10 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

BCTNet: Bi-Branch Cross-Fusion Transformer for Building Footprint Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Gated Spatial Memory and Centroid-Aware Network for Building Instance Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Distributed Learning based on Asynchronized Discriminator GAN for remote sensing image segmentation.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Communication and Information Processing, 2022

2020

Two-level attention and score consistency network for plant segmentation.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2020

2019

Road Segmentation Based on Hybrid Convolutional Network for High-Resolution Visible Remote Sensing Image.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2019

A Comparison Study of VAE and GAN for Software Fault Prediction.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

Semi-supervised Deep Learning for Network Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

2018

Recognizing Guttation Fluid of Arabidopsis Thaliana in Space by Improved FCN.

[BibT_eX]

[DOI]

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Utilizing Deep Architecture Networks of VAE in Software Fault Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

2017

Vegetation Recognition based on Deep Learning with Feature Fusion.