Jinke Xu
Biographic Data
| ID | 7290574 |
|---|---|
| NAME | Jinke Xu |
| GIVEN NAMES | Jinke |
| FAMILY NAME | Xu |
| SIGNATURE | XU J |
| AFFILIATIONS | Shandong Center for Disease Control and Prevention |
| ORCID | 0009-0001-6032-2795 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Multimodal Spatiotemporal Semisupervised Transformer Network for Video-Based Group-Level Emotion Recognition
Group-level emotion recognition (GER) has emerged as a critical research topic for identifying collective emotions in multiperson scenarios. Despite recent advancements, such as dual branch cross-attention (CA) mechanism, existing methods struggle to differentiate ambiguous emotion categories effectively. In addition, the limited size and diversity of GER datasets hinder further performance improvements. To address these challenges, this article …
An integrative pharmacology-based study on the efficacy and mechanism of essential oil of Chaihu Guizhi Decoction on influenza A virus induced pneumonia in mice
UPLC-Q-Exactive/MS based analysis explore the correlation between components variations and anti-influenza virus effect of four quantified extracts of Chaihu Guizhi decoction
Qingjin Huatan decoction protects mice against influenza a virus pneumonia via the chemokine signaling pathways
No prominent works on this page.
Qingjin Huatan decoction protects mice against influenza a virus pneumonia via the chemokine signaling pathways
UPLC-Q-Exactive/MS based analysis explore the correlation between components variations and anti-influenza virus effect of four quantified extracts of Chaihu Guizhi decoction
An integrative pharmacology-based study on the efficacy and mechanism of essential oil of Chaihu Guizhi Decoction on influenza A virus induced pneumonia in mice
Multimodal Spatiotemporal Semisupervised Transformer Network for Video-Based Group-Level Emotion Recognition
Group-level emotion recognition (GER) has emerged as a critical research topic for identifying collective emotions in multiperson scenarios. Despite recent advancements, such as dual branch cross-attention (CA) mechanism, existing methods struggle to differentiate ambiguous emotion categories effectively. In addition, the limited size and diversity of GER datasets hinder further performance improvements. To address these challenges, this article …
Biology (3 works) · Decoction (3 works) · Medicine (3 works) · Traditional medicine (3 works) · Chemistry (2 works) · Flavonoids in Medical Research (2 works) · Pharmacological Effects of Natural Compounds (2 works) · Pharmacology (2 works) · Pneumonia (2 works) · Traditional Chinese medicine (2 works)