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Zhiwei Li

Orcid: 0000-0002-8897-8905

Affiliations:
  • ShanghaiTech University, Pudong, China


According to our database1, Zhiwei Li authored at least 10 papers between 2023 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Learn to Preserve Personality: Federated Foundation Models in Recommendations.
[BibTeX]
[DOI]
Zhiwei Li
,
Guodong Long
,
Chunxu Zhang
,
Honglei Zhang
,
Jing Jiang
,
Chengqi Zhang
CoRR, June, 2025

Beyond Personalization: Federated Recommendation with Calibration via Low-rank Decomposition.
[BibTeX]
[DOI]
Jundong Chen
,
Honglei Zhang
,
Haoxuan Li
,
Chunxu Zhang
,
Zhiwei Li
,
Yidong Li
CoRR, June, 2025

Personalized Recommendation Models in Federated Settings: A Survey.
[BibTeX]
[DOI]
Chunxu Zhang
,
Guodong Long
,
Zijian Zhang
,
Zhiwei Li
,
Honglei Zhang
,
Qiang Yang
,
Bo Yang
CoRR, April, 2025

A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions.
[BibTeX]
[DOI]
Jing Jiang
,
Chunxu Zhang
,
Honglei Zhang
,
Zhiwei Li
,
Yidong Li
,
Bo Yang
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach.
[BibTeX]
[DOI]
Zhiwei Li
,
Guodong Long
,
Tianyi Zhou
,
Jing Jiang
,
Chengqi Zhang
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Personalized Item Representations in Federated Multimodal Recommendation.
[BibTeX]
[DOI]
Zhiwei Li
,
Guodong Long
,
Jing Jiang
,
Chengqi Zhang
CoRR, 2024

Navigating the Future of Federated Recommendation Systems with Foundation Models.
[BibTeX]
[DOI]
Zhiwei Li
,
Guodong Long
CoRR, 2024

Federated Recommendation with Additive Personalization.
[BibTeX]
[DOI]
Zhiwei Li
,
Guodong Long
,
Tianyi Zhou
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels.
[BibTeX]
[DOI]
Zhiwei Li
,
Zijian Yang
,
Lu Sun
,
Mineichi Kudo
,
Keigo Kimura
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning.
[BibTeX]
[DOI]
Zijian Yang
,
Zhiwei Li
,
Lu Sun
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023


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