Lingjun Zhao
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- National University of Defense Technologyas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-9210-8729
- OpenAlex ID
- A5004800456, A5114260837, A5123902183, A5130330077as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 43
A cascaded three-look network for aircraft detection in SAR images,
A Domain-Adaptive Few-Shot SAR Ship Detection Algorithm Driven by the Latent Similarity Between Optical and SAR Images,
An Accurate and Efficient Device-Free Localization Approach Based on Gaussian Bernoulli Restricted Boltzmann Machine,
An Accurate and Efficient Device-Free Localization Approach Based on Sparse Coding in Subspace,
An Accurate and Robust Approach of Device-Free Localization With Convolutional Autoencoder,
An accurate approach of device-free localization with attention empowered residual network,
A new multi-source remote sensing image sample dataset with high resolution for flood area extraction: GF-FloodNet,
Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery
+35 more
← Authored by 43
A cascaded three-look network for aircraft detection in SAR images,
A Domain-Adaptive Few-Shot SAR Ship Detection Algorithm Driven by the Latent Similarity Between Optical and SAR Images,
An Accurate and Efficient Device-Free Localization Approach Based on Gaussian Bernoulli Restricted Boltzmann Machine,
An Accurate and Efficient Device-Free Localization Approach Based on Sparse Coding in Subspace,
An Accurate and Robust Approach of Device-Free Localization With Convolutional Autoencoder,
An accurate approach of device-free localization with attention empowered residual network,
A new multi-source remote sensing image sample dataset with high resolution for flood area extraction: GF-FloodNet,
Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery
+35 more
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Summary
Lingjun Zhao is a human[1].