Nenghai Yu
Researcher / author (OpenAlex)
Facts
2 properties- Instance of
- human
- Affiliation
- University of Science and Technology of China, Anhui University, University of Electronic Science and Technology of Chinaas 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
- 0000-0003-4417-9316
- OpenAlex ID
- A5064573190, A5083407092, A5110371940, A5123601529, A5124068804, A5124321624, A5132577041, A5133483991, A5133738743, A5134015914, A5135304492, A5136366652, A5137533697, A5137939621, A5150001352as 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
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 178
AAS: Automatic Virtual Data Augmentation for Deep Image Steganalysis,
ABMNet: Coupling Transformer with CNN Based on Adams-Bashforth-Moulton Method for Infrared Small Target Detection,
A Camera Shooting Resilient Watermarking Scheme for Underpainting Documents,
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion,
Adaptive Text Steganography by Exploring Statistical and Linguistical Distortion,
ADT: Anti-Deepfake Transformer,
Adversarial batch image steganography against CNN-based pooled steganalysis,
Adversarial Examples Against Deep Neural Network based Steganalysis
+170 more
← Authored by 178
AAS: Automatic Virtual Data Augmentation for Deep Image Steganalysis,
ABMNet: Coupling Transformer with CNN Based on Adams-Bashforth-Moulton Method for Infrared Small Target Detection,
A Camera Shooting Resilient Watermarking Scheme for Underpainting Documents,
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion,
Adaptive Text Steganography by Exploring Statistical and Linguistical Distortion,
ADT: Anti-Deepfake Transformer,
Adversarial batch image steganography against CNN-based pooled steganalysis,
Adversarial Examples Against Deep Neural Network based Steganalysis
+170 more
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