Xianlin Zhu
Biographic Data
| ID | 7962188 |
|---|---|
| NAME | Xianlin Zhu |
| GIVEN NAMES | Xianlin |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU X |
| AFFILIATIONS | Soochow University |
| ORCID | 0009-0006-3051-5015 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Uncertainty-Aware Label Contrastive Distribution Learning for Automatic Depression Detection
Depression is one of the most common mental illnesses, affecting people’s quality of life and posing a risk to their health. Low-cost and objective automatic depression detection (ADD) is becoming increasingly critical. However, existing ADD methods usually treat depression detection as a regression problem for predicting patient health questionnaire-8 (PHQ-8) scores, ignoring the scores’ ambiguity caused by multiple questionnaire issues. To effe…
MMPF
Depression is a common mental disorder that requires objective and valid assessment tools. However, purely data-driven methods cannot satisfy the clinical diagnostic criteria for automatic depression detection (ADD), and the instability and heterogeneity of multimodal data have not been fully resolved. Therefore, we propose a novel auxiliary tool for ADD based on multimodal purification fusion (MMPF). Initially, a prior constraint gating (PCG) st…
The relationship between depression and lipid accumulation product
There are positive results between LAP and depression after adjusting for multiple potential variables, and prospective studies are needed to verify the results
Association of non-HDL-C and depression
Non-HDL-C positively correlated with depression, and further research may be better for clinical service
No prominent works on this page.
Association of non-HDL-C and depression
Non-HDL-C positively correlated with depression, and further research may be better for clinical service
Uncertainty-Aware Label Contrastive Distribution Learning for Automatic Depression Detection
Depression is one of the most common mental illnesses, affecting people’s quality of life and posing a risk to their health. Low-cost and objective automatic depression detection (ADD) is becoming increasingly critical. However, existing ADD methods usually treat depression detection as a regression problem for predicting patient health questionnaire-8 (PHQ-8) scores, ignoring the scores’ ambiguity caused by multiple questionnaire issues. To effe…
MMPF
Depression is a common mental disorder that requires objective and valid assessment tools. However, purely data-driven methods cannot satisfy the clinical diagnostic criteria for automatic depression detection (ADD), and the instability and heterogeneity of multimodal data have not been fully resolved. Therefore, we propose a novel auxiliary tool for ADD based on multimodal purification fusion (MMPF). Initially, a prior constraint gating (PCG) st…
The relationship between depression and lipid accumulation product
There are positive results between LAP and depression after adjusting for multiple potential variables, and prospective studies are needed to verify the results
Artificial Intelligence (2 works) · Cardiac Health and Mental Health (2 works) · Computer Science (2 works) · Demography (2 works) · Demography (2 works) · Depression (economics (2 works) · Emotion and Mood Recognition (2 works) · Environmental health (2 works) · Internal Medicine (2 works) · Logistic regression (2 works)