Kexin Zhu
Biographic Data
| ID | 5866334 |
|---|---|
| NAME | Kexin Zhu |
| GIVEN NAMES | Kexin |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU K |
| AFFILIATIONS | Beijing Institute of Technology |
| ORCID | 0000-0002-8892-4077 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
New Paradigm for Intelligent Mental Health
Tensor Correlation Fusion for Multimodal Physiological Signal Emotion Recognition
As an essential challenge within the realm of affective computing, emotion recognition assumes a vital role in bestowing computers with a higher level and comprehensive intelligence. Furthermore, it has emerged as a crucial research topic in both human–computer interaction (HCI) and medical rehabilitation related to mental illnesses. However, the related fusion studies for modeling physiological signals in emotion recognition are less based on mu…
A Novel Intelligence Evaluation Framework
Intelligence evaluation is a desirable intelligent application for sensing and interaction in various scenarios, e.g., education, office, and the aviation industry. For example, identifying gifted students, who learn faster and more efficiently than general students due to their neurophysiological advantages, and teaching different students according to their intelligence are urgent requirements in school education. However, current intelligence …
Temporary meniscus extrusion is caused by cumulative stress from uphill and downhill tasks in healthy volunteers
Purpose Excessive mechanical stress accumulates and causes knee injury. Meniscal extrusion is a key factor in detecting the reaction to cumulative mechanical stress. The accumulation of stress strongly depends on environmental conditions such as flat ground or uphill/downhill, and accumulates in knee compartments; only a few studies have reported the effects of different environments on lateral and medial meniscus extrusion. This study aimed to i…
No prominent works on this page.
Tensor Correlation Fusion for Multimodal Physiological Signal Emotion Recognition
As an essential challenge within the realm of affective computing, emotion recognition assumes a vital role in bestowing computers with a higher level and comprehensive intelligence. Furthermore, it has emerged as a crucial research topic in both human–computer interaction (HCI) and medical rehabilitation related to mental illnesses. However, the related fusion studies for modeling physiological signals in emotion recognition are less based on mu…
A Novel Intelligence Evaluation Framework
Intelligence evaluation is a desirable intelligent application for sensing and interaction in various scenarios, e.g., education, office, and the aviation industry. For example, identifying gifted students, who learn faster and more efficiently than general students due to their neurophysiological advantages, and teaching different students according to their intelligence are urgent requirements in school education. However, current intelligence …
Temporary meniscus extrusion is caused by cumulative stress from uphill and downhill tasks in healthy volunteers
Purpose Excessive mechanical stress accumulates and causes knee injury. Meniscal extrusion is a key factor in detecting the reaction to cumulative mechanical stress. The accumulation of stress strongly depends on environmental conditions such as flat ground or uphill/downhill, and accumulates in knee compartments; only a few studies have reported the effects of different environments on lateral and medial meniscus extrusion. This study aimed to i…
New Paradigm for Intelligent Mental Health
Computer Science (3 works) · Artificial Intelligence (2 works) · EEG and Brain-Computer Interfaces (2 works) · Engineering (2 works) · Mathematics (2 works) · Psychology (2 works) · Cognition (1 work) · Cognitive science (1 work) · Composite material (1 work) · Computational intelligence (1 work)