Biwei Cao
Biographic Data
| ID | 10054264 |
|---|---|
| NAME | Biwei Cao |
| GIVEN NAMES | Biwei |
| FAMILY NAME | Cao |
| SIGNATURE | CAO B |
| AFFILIATIONS | Ministry of Education of the People's Republic of China |
| ORCID | 0000-0002-3375-404X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
No Place to Hide
Online social network has emerged as a prominent place for the propagation of fake news due to its low cost of information dissemination. Although the existing methods have made many attempts in news content and propagation structure, the detection of fake news is still facing two challenges: one is how to mine the unique key features and evolution patterns, and the other is how to tackle the problem of small samples to build the high-performance…
Response Generation in Social Network With Topic and Emotion Constraints
Response generation is the task of automatically generating human-like content based on the provided context. One of its prominent applications is to simulate realistic response content for social network posts. In the digital age, social network platforms play a vital role in information exchange and social interaction. This study focuses on response generation techniques for the platform of public opinion evolution simulation that simulate real…
No prominent works on this page.
Response Generation in Social Network With Topic and Emotion Constraints
Response generation is the task of automatically generating human-like content based on the provided context. One of its prominent applications is to simulate realistic response content for social network posts. In the digital age, social network platforms play a vital role in information exchange and social interaction. This study focuses on response generation techniques for the platform of public opinion evolution simulation that simulate real…
No Place to Hide
Online social network has emerged as a prominent place for the propagation of fake news due to its low cost of information dissemination. Although the existing methods have made many attempts in news content and propagation structure, the detection of fake news is still facing two challenges: one is how to mine the unique key features and evolution patterns, and the other is how to tackle the problem of small samples to build the high-performance…
Computer Science (2 works) · Advanced Malware Detection Techniques (1 works) · Art (1 works) · Artificial Intelligence (1 works) · Cognitive psychology (1 works) · Cognitive science (1 works) · Computer network (1 works) · Computer security (1 works) · Fake news (1 works) · Internet privacy (1 works)