Yu-An Liu

Orcid: 0000-0002-9125-5097

Affiliations:
  • University of Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
  • Chinese Academy of Sciences, CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, China
  • Shandong University, Qingdao, China


According to our database1, Yu-An Liu authored at least 11 papers between 2022 and 2024.

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

Timeline

2022
2023
2024
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3
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5
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7
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2
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2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models.
CoRR, 2024

On the Robustness of Generative Information Retrieval Models.
CoRR, 2024

Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective.
CoRR, 2024

Multi-granular Adversarial Attacks against Black-box Neural Ranking Models.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Robust Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Micro-Influencer Recommendation by Multi-Perspective Account Representation Learning.
IEEE Trans. Multim., 2023

On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective.
CoRR, 2023

Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Discover Micro-Influencers for Brands via Better Understanding.
IEEE Trans. Multim., 2022


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