Mi Li
Biographic Data
| ID | 6004609 |
|---|---|
| NAME | Mi Li |
| GIVEN NAMES | Mi |
| FAMILY NAME | Li |
| SIGNATURE | LI M |
| AFFILIATIONS | Beijing University of Technology |
| ORCID | 0000-0001-5426-5897 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Automatic Depression Level Prediction Based on Facial Video With Emotional Cues Using a Hybrid Machine Learning Framework
Depression is a kind of mood disorder. Nevertheless, there is a lack of research on emotional information in the identification of depression. This study intends to explore the role of emotions in the identification of depression by analyzing the performance in facial videos induced by different emotional stimuli. It also aims to address the deficiency of emotional representation in existing video datasets. In order to study the influence of emot…
Self-Attention Gated Linear Recurrent Units for Sequential Recommendation
Sequential recommendation is of utmost importance for personalized suggestions across various domains, and its effectiveness hinges critically on accurately capturing the intricate sequential dependencies among items. Two advanced architectures are widely adopted for this purpose: self-attention mechanisms (SAM), which excel at modelling global dependencies in sequences, and linear recurrent units (LRU), which specialize in capturing local sequen…
Automatic Detection of Depression Level Utilizing a Hybrid Deep Learning Framework With Multi-Emotion Streams and Multi-Emotional Cross-Attention Mechanism
Systematic insight into the dual COX-2/5-LOX inhibitory mechanism of Duhuo Jisheng decoction for treatment of osteoarthritis based on in silico and bioassay
Automatic Diagnosis of Depression Based on Facial Expression Information and Deep Convolutional Neural Network
Depression is a complex mental disease, which involves many factors such as psychology, physiology, and society, and which causes harm to society. Up to now, there are no valuable biomarkers for clinical diagnosis. This research constructed a dataset, which includes calm, sad, and happy facial expressions from both patients with depression and normal people, and classification and visualization of depression. The network includes a dual-scale con…
Knowledge, attitudes, and practices among medical students toward depression management: A cross-sectional study in China
Background The prevalence of depression among university and college students in China is nearly one-quarter. This study aimed to investigate the knowledge, attitudes and practices (KAP) among medical students toward depression management. Depression, a significant public health issue, has a substantial impact on students, with a reported prevalence of 23.8% among university and college students in China. Methods This web-based cross-sectional st…
A Clinical-Oriented Non-Severe Depression Diagnosis Method Based on Cognitive Behavior of Emotional Conflict
To improve the diagnosis accuracy of non-severe depression (NSD), this article proposes a diagnosis method of NSD based on cognitive behavior of emotional conflict. First, the original classification features are constructed based on the cognitive behavior of emotional conflict and statistical distribution, and a classification normalization method is proposed to preprocess the feature data. Then, the relief algorithm and principal component anal…
Spatial Heterogeneity and Influencing Factors of High-Grade Tourist Attractions in the Tibetan Plateau
The construction of the world tourism destination on the Tibetan Plateau is inseparable from the traditional tourist attractions, which are significant landscape ecological units. Based on the data of high-grade tourist attractions on the Tibetan Plateau, the spatial heterogeneity and influence factors are studied employing the Standard Deviation Ellipse (SDE), Kernel Density Estimation (KDE), spatial autocorrelation (SA), and modified tourism gr…
Gender-dependent pharmacokinetics of lignans in rats after single and multiple oral administration of Schisandra chinensis extract
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Gender-dependent pharmacokinetics of lignans in rats after single and multiple oral administration of Schisandra chinensis extract
A Clinical-Oriented Non-Severe Depression Diagnosis Method Based on Cognitive Behavior of Emotional Conflict
To improve the diagnosis accuracy of non-severe depression (NSD), this article proposes a diagnosis method of NSD based on cognitive behavior of emotional conflict. First, the original classification features are constructed based on the cognitive behavior of emotional conflict and statistical distribution, and a classification normalization method is proposed to preprocess the feature data. Then, the relief algorithm and principal component anal…
Spatial Heterogeneity and Influencing Factors of High-Grade Tourist Attractions in the Tibetan Plateau
The construction of the world tourism destination on the Tibetan Plateau is inseparable from the traditional tourist attractions, which are significant landscape ecological units. Based on the data of high-grade tourist attractions on the Tibetan Plateau, the spatial heterogeneity and influence factors are studied employing the Standard Deviation Ellipse (SDE), Kernel Density Estimation (KDE), spatial autocorrelation (SA), and modified tourism gr…
Automatic Diagnosis of Depression Based on Facial Expression Information and Deep Convolutional Neural Network
Depression is a complex mental disease, which involves many factors such as psychology, physiology, and society, and which causes harm to society. Up to now, there are no valuable biomarkers for clinical diagnosis. This research constructed a dataset, which includes calm, sad, and happy facial expressions from both patients with depression and normal people, and classification and visualization of depression. The network includes a dual-scale con…
Knowledge, attitudes, and practices among medical students toward depression management: A cross-sectional study in China
Background The prevalence of depression among university and college students in China is nearly one-quarter. This study aimed to investigate the knowledge, attitudes and practices (KAP) among medical students toward depression management. Depression, a significant public health issue, has a substantial impact on students, with a reported prevalence of 23.8% among university and college students in China. Methods This web-based cross-sectional st…
Systematic insight into the dual COX-2/5-LOX inhibitory mechanism of Duhuo Jisheng decoction for treatment of osteoarthritis based on in silico and bioassay
Automatic Depression Level Prediction Based on Facial Video With Emotional Cues Using a Hybrid Machine Learning Framework
Depression is a kind of mood disorder. Nevertheless, there is a lack of research on emotional information in the identification of depression. This study intends to explore the role of emotions in the identification of depression by analyzing the performance in facial videos induced by different emotional stimuli. It also aims to address the deficiency of emotional representation in existing video datasets. In order to study the influence of emot…
Self-Attention Gated Linear Recurrent Units for Sequential Recommendation
Sequential recommendation is of utmost importance for personalized suggestions across various domains, and its effectiveness hinges critically on accurately capturing the intricate sequential dependencies among items. Two advanced architectures are widely adopted for this purpose: self-attention mechanisms (SAM), which excel at modelling global dependencies in sequences, and linear recurrent units (LRU), which specialize in capturing local sequen…
Automatic Detection of Depression Level Utilizing a Hybrid Deep Learning Framework With Multi-Emotion Streams and Multi-Emotional Cross-Attention Mechanism
Computer Science (3 works) · Deep learning (3 works) · Medicine (3 works) · Mental Health via Writing (3 works) · Artificial Intelligence (2 works) · Artificial neural network (2 works) · Chemistry (2 works) · Emotion and Mood Recognition (2 works) · Facial expression (2 works) · Geography (2 works)