Haoyi Huang
Biographic Data
| ID | 8683354 |
|---|---|
| NAME | Haoyi Huang |
| GIVEN NAMES | Haoyi |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG H |
| AFFILIATIONS | Open University of China |
| ORCID | 0009-0002-0313-1658 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Unified Semantic Alignment and Cross-Graph Fusion Model for Multimodal Named Entity Recognition in Social Media
Multimodal named entity recognition (MNER) aims to identify predefined entity types from text by incorporating auxiliary information such as images. Compared with traditional named entity recognition methods, MNER introduces visual context to recognize entities in ambiguous text. To more effectively utilize the visual modality for text understanding, most current approaches rely on static cross-modal feature alignment and fusion. However, when te…
The Silk Road e-commerce cooperation initiative and the digital value-added trade between China and the BRI participating countries
This paper examines the impact of the Silk Road e-commerce initiative on the digital value-added trade (DVAT) between China and the BRI participating countries, by constructing a staggered DID model and the indicators of simple and complex DVAT based on the Eora MRIO database from 1990 to 2022. The findings indicate that signing e-commerce cooperation memorandum significantly promotes DVAT between China and BRI participating countries. The Silk R…
No prominent works on this page.
Unified Semantic Alignment and Cross-Graph Fusion Model for Multimodal Named Entity Recognition in Social Media
Multimodal named entity recognition (MNER) aims to identify predefined entity types from text by incorporating auxiliary information such as images. Compared with traditional named entity recognition methods, MNER introduces visual context to recognize entities in ambiguous text. To more effectively utilize the visual modality for text understanding, most current approaches rely on static cross-modal feature alignment and fusion. However, when te…
The Silk Road e-commerce cooperation initiative and the digital value-added trade between China and the BRI participating countries
This paper examines the impact of the Silk Road e-commerce initiative on the digital value-added trade (DVAT) between China and the BRI participating countries, by constructing a staggered DID model and the indicators of simple and complex DVAT based on the Eora MRIO database from 1990 to 2022. The findings indicate that signing e-commerce cooperation memorandum significantly promotes DVAT between China and BRI participating countries. The Silk R…
Advanced Graph Neural Networks (1 work) · China (1 work) · Cyberloafing and Workplace Behavior (1 work) · Data Quality and Management (1 work) · Digital economy (1 work) · E-commerce and Technology Innovations (1 work) · Economic and Technological Innovation (1 work) · Entity linking (1 work) · Fusion (1 work) · Memorandum (1 work)