Yuliang Zhang
Biographic Data
| ID | 6582769 |
|---|---|
| NAME | Yuliang Zhang |
| GIVEN NAMES | Yuliang |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG Y |
| AFFILIATIONS | Hangzhou City University |
| ORCID | 0000-0002-4352-6569 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A fish rots from the head down
Migration of Tourism Entrepreneurs
This study examines the migration motivations, mobility patterns, and business performance of tourism entrepreneur migrants (TEMs) and their impact on quality of life (QoL). Using qualitative methods, including in-depth interviews and non-participant observation, the study analyzes personal internal factors (PIFs) and external environmental factors (EEFs) factors affecting TEMs. Key findings include: (1) TEMs in Zhuhai are driven by both ‘busines…
Toward Interactive Next Location Prediction Driven by Large Language Models
Individual next location prediction plays a crucial role in location-based applications, such as route navigation and service recommendation. Although the existing research based on deep learning effectively captures users' spatiotemporal travel preferences, there are challenges in the interpretability of location prediction, heavily relying on large-scale historical travel data for model training. Drawing inspiration from the powerful reasoning …
Understanding multimodal travel patterns based on semantic embeddings of human mobility trajectories
A network pharmacology approach to investigate the mechanism of Shuxuening injection in the treatment of ischemic stroke
No prominent works on this page.
A network pharmacology approach to investigate the mechanism of Shuxuening injection in the treatment of ischemic stroke
Toward Interactive Next Location Prediction Driven by Large Language Models
Individual next location prediction plays a crucial role in location-based applications, such as route navigation and service recommendation. Although the existing research based on deep learning effectively captures users' spatiotemporal travel preferences, there are challenges in the interpretability of location prediction, heavily relying on large-scale historical travel data for model training. Drawing inspiration from the powerful reasoning …
Understanding multimodal travel patterns based on semantic embeddings of human mobility trajectories
A fish rots from the head down
Migration of Tourism Entrepreneurs
This study examines the migration motivations, mobility patterns, and business performance of tourism entrepreneur migrants (TEMs) and their impact on quality of life (QoL). Using qualitative methods, including in-depth interviews and non-participant observation, the study analyzes personal internal factors (PIFs) and external environmental factors (EEFs) factors affecting TEMs. Key findings include: (1) TEMs in Zhuhai are driven by both ‘busines…
Computer Science (2 works) · Data Management and Algorithms (2 works) · Data science (2 works) · Geographic Information Systems Studies (2 works) · Human Mobility and Location-Based Analysis (2 works) · ADME (1 work) · Artificial Intelligence (1 work) · Biochemistry (1 work) · Bioinformatics (1 work) · Biology (1 work)