Joint Adversarial Domain Adaptation With Structural Graph Alignment-Reference-Cited by-同舟云学术

Joint Adversarial Domain Adaptation With Structural Graph Alignment

Published:2024-01 Issue:1 Volume:11 Page:604-612
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Wang Mengzhu¹^ORCID,Chen Junyang¹^ORCID,Wang Ye²^ORCID,Wang Shanshan³^ORCID,li Lin²^ORCID,Su Hao⁴^ORCID,Gong Zhiguo⁵^ORCID,Wu Kaishun¹^ORCID,Chen Zhenghan⁶^ORCID

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

2. College of Computer, National University of Defense Technology, Changsha, China

3. Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, China

4. Meituan, Beijing, China

5. State Key Laboratory of Internet of Things for Smart City, Department of Computer Information Science, University of Macau, Macau, China

6. Peking University, Beijing, China

Funder

National Natural Science Foundation of China

Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy

Natural Science Foundation of Guangdong Province of China

Science and Technology Development Fund, Macau SAR, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/10382160/10214107.pdf?arnumber=10214107

Reference47 articles.

1. Transfer Feature Learning with Joint Distribution Adaptation

2. Visual Domain Adaptation with Manifold Embedded Distribution Alignment

3. Balanced Distribution Adaptation for Transfer Learning

4. Adaptive local neighbors for transfer discriminative feature learning;Wang,2020

5. Sparsely-labeled source assisted domain adaptation

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