Junlin Zhu
Biographic Data
| ID | 8354638 |
|---|---|
| NAME | Junlin Zhu |
| GIVEN NAMES | Junlin |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU J |
| AFFILIATIONS | Chongqing University of Technology |
| ORCID | 0000-0002-0735-8983 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Reverse supply chain recycling decisions via Pigovian theory
Frequency Meets Intent
Deep learning-based research on cultural symbols in few-shot destination social media images
In the digital age, cultural heritage sites utilise social media imagery for marketing. Nevertheless, existing research reveals two gaps: the scarcity of methods for accurately identifying multi-cultural element fusion in images under few-shot conditions; and the difficulty in quantifying their collective impact on user behaviour, which limits data-driven content strategy optimisation. Grounded in destination image theory and symbolic consumption…
Leveraging Hyperbolic Dynamic Neural Networks for Knowledge-Aware Recommendation
Knowledge graph (KG) is of growing significance in enabling explainable recommendations. Recent research works involve constructing propagation-based recommendation models. Nevertheless, most of the current propagation-based recommendation methods cannot explicitly handle the diverse relations of items, resulting in the inability to model the underlying hierarchies and diverse relations, and it is difficult to capture the high-order collaborative…
No prominent works on this page.
Leveraging Hyperbolic Dynamic Neural Networks for Knowledge-Aware Recommendation
Knowledge graph (KG) is of growing significance in enabling explainable recommendations. Recent research works involve constructing propagation-based recommendation models. Nevertheless, most of the current propagation-based recommendation methods cannot explicitly handle the diverse relations of items, resulting in the inability to model the underlying hierarchies and diverse relations, and it is difficult to capture the high-order collaborative…
Reverse supply chain recycling decisions via Pigovian theory
Frequency Meets Intent
Deep learning-based research on cultural symbols in few-shot destination social media images
In the digital age, cultural heritage sites utilise social media imagery for marketing. Nevertheless, existing research reveals two gaps: the scarcity of methods for accurately identifying multi-cultural element fusion in images under few-shot conditions; and the difficulty in quantifying their collective impact on user behaviour, which limits data-driven content strategy optimisation. Grounded in destination image theory and symbolic consumption…
Recommender Systems and Techniques (2 works) · Advanced Graph Neural Networks (1 work) · Advanced Technologies in Various Fields (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Bipartite graph (1 work) · Collaborative filtering (1 work) · Computer Science (1 work) · Contrastive analysis (1 work) · Cultural heritage (1 work)