Zhen Cui
Researcher / author (OpenAlex)
Facts
2 properties- Instance of
- human
- Affiliation
- Beijing Normal Universityas 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
- 0000-0002-0543-4196
- OpenAlex ID
- A5025396815, A5135440043, A5136470133, A5137632444, A5140779828as 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 106
$\ell_{1}$ -Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions,
3D3M: 3D Modulated Morphable Model for Monocular Face Reconstruction,
A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition,
Action-Attending Graphic Neural Network,
A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition,
A graph-based interpretability method for deep neural networks,
A Joint Convolutional Bidirectional LSTM Framework for Facial Expression Recognition,
Alkali-metal-embedded in monolayer MoS2: optical properties and work functions
+98 more
← Authored by 106
$\ell_{1}$ -Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions,
3D3M: 3D Modulated Morphable Model for Monocular Face Reconstruction,
A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition,
Action-Attending Graphic Neural Network,
A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition,
A graph-based interpretability method for deep neural networks,
A Joint Convolutional Bidirectional LSTM Framework for Facial Expression Recognition,
Alkali-metal-embedded in monolayer MoS2: optical properties and work functions
+98 more
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