Zeyi Li
Biographic Data
| ID | 4415131 |
|---|---|
| NAME | Zeyi Li |
| GIVEN NAMES | Zeyi |
| FAMILY NAME | Li |
| SIGNATURE | LI Z |
| AFFILIATIONS | University of Hong Kong |
| ORCID | 0000-0002-8487-771X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A Diffusion Model and Few-Shot Learning Framework for EEG Abnormality Classification and Cerebral Infarction Assessment
Deep learning has shown great potential in assisting medical experts in diagnosing cerebral infarction through electroencephalogram (EEG) analysis. Classifying EEG abnormality levels is a critical component of this process. However, the inherent complexity of raw EEG signals makes reliable feature extraction challenging, while the scarcity of severe cases leads to substantial class imbalance. The limited size of available datasets further exacerb…
GeoFAN
The recognition of point patterns in spatial vector data has important applications in geographic mapping and formation recognition. However, the application of traditional methods to spatial vector data faces two difficulties. Firstly, these data are low signal-to-noise ratio data in which the point patterns are mixed with a large number of normal point clusters; thus, it is difficult to recognize point patterns from these unstructured data usin…
Concordance between direct assessment and adult report in assessing learning and developmental competencies of young children
Latent classes of early childhood development and their predictors in Low- and middle-income countries
Measuring Children’s Developmental Status in China Using the Ecdi2030
This study compared different approaches for monitoring progress towards Sustainable Development Goal Target 4.2, which focuses on the proportion of children who are developmentally on track. UNICEF’s Early Childhood Development Index 2030 (ECDI2030), a parent report measure, was compared with a corresponding direct assessment measure using a sample of children aged 3 and 5 ( N = 309; 154 girls) in China at two time points. In the second wave, th…
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Latent classes of early childhood development and their predictors in Low- and middle-income countries
Measuring Children’s Developmental Status in China Using the Ecdi2030
This study compared different approaches for monitoring progress towards Sustainable Development Goal Target 4.2, which focuses on the proportion of children who are developmentally on track. UNICEF’s Early Childhood Development Index 2030 (ECDI2030), a parent report measure, was compared with a corresponding direct assessment measure using a sample of children aged 3 and 5 ( N = 309; 154 girls) in China at two time points. In the second wave, th…
GeoFAN
The recognition of point patterns in spatial vector data has important applications in geographic mapping and formation recognition. However, the application of traditional methods to spatial vector data faces two difficulties. Firstly, these data are low signal-to-noise ratio data in which the point patterns are mixed with a large number of normal point clusters; thus, it is difficult to recognize point patterns from these unstructured data usin…
Concordance between direct assessment and adult report in assessing learning and developmental competencies of young children
A Diffusion Model and Few-Shot Learning Framework for EEG Abnormality Classification and Cerebral Infarction Assessment
Deep learning has shown great potential in assisting medical experts in diagnosing cerebral infarction through electroencephalogram (EEG) analysis. Classifying EEG abnormality levels is a critical component of this process. However, the inherent complexity of raw EEG signals makes reliable feature extraction challenging, while the scarcity of severe cases leads to substantial class imbalance. The limited size of available datasets further exacerb…
Early Childhood Education and Development (3 works) · Cognitive Abilities and Testing (2 works) · Developmental psychology (2 works) · Psychology (2 works) · 3D Modeling in Geospatial Applications (1 work) · Abnormality (1 work) · Archaeology (1 work) · Artificial Intelligence (1 work) · Attendance (1 work) · Child development (1 work)