Haotian Yu
Biographic Data
| ID | 9493524 |
|---|---|
| NAME | Haotian Yu |
| GIVEN NAMES | Haotian |
| FAMILY NAME | Yu |
| SIGNATURE | YU H |
| AFFILIATIONS | George Washington University |
| ORCID | 0000-0002-4944-5743 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Structure-Attribute-Based Social Network Deanonymization With Spectral Graph Partitioning
Online social networks have gained tremendous popularity and have dramatically changed the way we communicate in recent years. However, the publishing of social network data raises more and more privacy concerns. To protect user privacy, social networking data are usually anonymized before being released. Nevertheless, existing anonymization techniques do not have sufficient protection effects. A large number of deanonymization attacks have arise…
Participant or spectator? Comprehending the willingness of faculty to use intelligent tutoring systems in the artificial intelligence era
The advancement of technology, especially the development and application of artificial intelligence, has deeply affected the education sector and brought opportunities for pedagogical adaptation. Intelligent tutoring systems, a major application of artificial intelligence in education, have drawn extensive concerns. However, in reality, the penetration rate of intelligent tutoring systems and the enthusiasm of faculty to use are still relatively…
No prominent works on this page.
Participant or spectator? Comprehending the willingness of faculty to use intelligent tutoring systems in the artificial intelligence era
The advancement of technology, especially the development and application of artificial intelligence, has deeply affected the education sector and brought opportunities for pedagogical adaptation. Intelligent tutoring systems, a major application of artificial intelligence in education, have drawn extensive concerns. However, in reality, the penetration rate of intelligent tutoring systems and the enthusiasm of faculty to use are still relatively…
Structure-Attribute-Based Social Network Deanonymization With Spectral Graph Partitioning
Online social networks have gained tremendous popularity and have dramatically changed the way we communicate in recent years. However, the publishing of social network data raises more and more privacy concerns. To protect user privacy, social networking data are usually anonymized before being released. Nevertheless, existing anonymization techniques do not have sufficient protection effects. A large number of deanonymization attacks have arise…
Artificial Intelligence (2 works) · Computer Science (2 works) · Artificial Intelligence (1 work) · Computer network (1 work) · Data mining (1 work) · Data publishing (1 work) · Enthusiasm (1 work) · Graph (1 work) · Innovation diffusion (1 work) · Intelligent tutoring system (1 work)