Wenan Tan
Biographic Data
| ID | 10054243 |
|---|---|
| NAME | Wenan Tan |
| GIVEN NAMES | Wenan |
| FAMILY NAME | Tan |
| SIGNATURE | TAN W |
| AFFILIATIONS | Shanghai Polytechnic University |
| ORCID | 0000-0003-2608-652X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| 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…
Method Toward Network Embedding Within Homogeneous Attributed Network Using Influential Node Diffusion-Aware
Network embedding (NE) focuses on discovering low-dimensional embeddings of nodes while retaining their intrinsic features and structure of nodes. It is essential for many practical applications, containing text mining, community detection, and node classification. However, the great majority of existing systems are incapable of combining structural and attribute information. To tackle the above-mentioned problem, considering the information diff…
Crisis Assessment Oriented Influence Maximization in Social Networks
Influence maximization (IM) aims to find a subset of $k$ nodes that can maximize the final active node set under an information diffusion model. With the development and popularity of social networks, the IM problem plays an essential role in various applications, such as public opinion analysis, viral marketing, and rumor early warning. However, most of the existing IM solutions have not accessed the risk of negative information from nodes in th…
No prominent works on this page.
Crisis Assessment Oriented Influence Maximization in Social Networks
Influence maximization (IM) aims to find a subset of $k$ nodes that can maximize the final active node set under an information diffusion model. With the development and popularity of social networks, the IM problem plays an essential role in various applications, such as public opinion analysis, viral marketing, and rumor early warning. However, most of the existing IM solutions have not accessed the risk of negative information from nodes in th…
Method Toward Network Embedding Within Homogeneous Attributed Network Using Influential Node Diffusion-Aware
Network embedding (NE) focuses on discovering low-dimensional embeddings of nodes while retaining their intrinsic features and structure of nodes. It is essential for many practical applications, containing text mining, community detection, and node classification. However, the great majority of existing systems are incapable of combining structural and attribute information. To tackle the above-mentioned problem, considering the information diff…
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…
Advanced Graph Neural Networks (2 works) · Complex Network Analysis Techniques (2 works) · Computer network (2 works) · Computer Science (2 works) · Mathematics (2 works) · Network topology (2 works) · Opinion Dynamics and Social Influence (2 works) · Social media (2 works) · Theoretical Computer Science (2 works) · Artificial Intelligence (1 works)