Ruozhu Sheng
Biographic Data
| ID | 9977993 |
|---|---|
| NAME | Ruozhu Sheng |
| GIVEN NAMES | Ruozhu |
| FAMILY NAME | Sheng |
| SIGNATURE | SHENG R |
| AFFILIATIONS | Japan Advanced Institute of Science and Technology |
| ORCID | 0000-0002-3284-8490 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Non-Semantic Multimodal Fusion for Predicting Segment Access Frequency in Lecture Archives
This study proposes a non-semantic multimodal approach to predict segment access frequency (SAF) in lecture archives. Such archives, widely used as supplementary resources in modern education, often consist of long, unedited recordings that are difficult to navigate and review efficiently. The predicted SAF, an indicator of student viewing behavior, serves as a practical proxy for student engagement. The increasing volume of recorded material ren…
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Non-Semantic Multimodal Fusion for Predicting Segment Access Frequency in Lecture Archives
This study proposes a non-semantic multimodal approach to predict segment access frequency (SAF) in lecture archives. Such archives, widely used as supplementary resources in modern education, often consist of long, unedited recordings that are difficult to navigate and review efficiently. The predicted SAF, an indicator of student viewing behavior, serves as a practical proxy for student engagement. The increasing volume of recorded material ren…
Annotation (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Deep learning (1 work) · Information retrieval (1 work) · Machine learning (1 work) · Multimedia (1 work) · Natural language processing (1 work) · Online and Blended Learning (1 work) · Online Learning and Analytics (1 work)