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Peng Yan

Orcid: 0000-0001-6194-2032

Affiliations:
  • University of Technology Sydney, Australian Artificial Intelligence Institute, FEIT, Australia
  • Nanjing University of Posts and Telecommunications, School of Computer Science and Technology, China (former)


According to our database1, Peng Yan authored at least 10 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Federated Intelligence in Web: A Tutorial.
[BibTeX]
[DOI]
Peng Yan
,
Shengchao Chen
,
Guodong Long
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

MedShort: Medicine Shortage Detection on Social Media with Privacy Preservation.
[BibTeX]
[DOI]
Xueping Peng
,
Peng Yan
,
Tao Shen
,
Ming Xie
,
Guodong Long
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024
Personalized Interpretation on Federated Learning: A Virtual Concepts approach.
[BibTeX]
[DOI]
Peng Yan
,
Guodong Long
,
Jing Jiang
,
Michael Blumenstein
CoRR, 2024

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions.
[BibTeX]
[DOI]
Chunxu Zhang
,
Guodong Long
,
Tianyi Zhou
,
Zijian Zhang
,
Peng Yan
,
Bo Yang
Proceedings of the ACM on Web Conference 2024, 2024

GPFedRec: Graph-Guided Personalization for Federated Recommendation.
[BibTeX]
[DOI]
Chunxu Zhang
,
Guodong Long
,
Tianyi Zhou
,
Zijian Zhang
,
Peng Yan
,
Bo Yang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Client-Supervised Federated Learning: Towards One-Model-for-All Personalization.
[BibTeX]
[DOI]
Peng Yan
,
Guodong Long
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Graph-guided Personalization for Federated Recommendation.
[BibTeX]
[DOI]
Chunxu Zhang
,
Guodong Long
,
Tianyi Zhou
,
Peng Yan
,
Zijian Zhang
,
Bo Yang
CoRR, 2023

Dual Personalization on Federated Recommendation.
[BibTeX]
[DOI]
Chunxu Zhang
,
Guodong Long
,
Tianyi Zhou
,
Peng Yan
,
Zijian Zhang
,
Chengqi Zhang
,
Bo Yang
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Personalization Disentanglement for Federated Learning.
[BibTeX]
[DOI]
Peng Yan
,
Guodong Long
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2016
Graph-Margin Based Multi-label Feature Selection.
[BibTeX]
[DOI]
Peng Yan
,
Yun Li
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016


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