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 23 papers between 2022 and 2026.

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Timeline

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Bibliography

2026
AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning.
CoRR, April, 2026

Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective.
ACM Trans. Inf. Syst., January, 2026

Déjà Vu of Strange Stickers! Enhancing Out-of-Distribution Robustness in Sticker Retrieval via Cross-Modal Intent Alignment.
Proceedings of the ACM Web Conference 2026, 2026

Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
LLMs as Sparse Retrievers:A Framework for First-Stage Product Search.
CoRR, October, 2025

Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems.
CoRR, May, 2025

Robust Information Retrieval.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

On the Scaling of Robustness and Effectiveness in Dense Retrieval.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

A Generative Framework for Personalized Sticker Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective.
Proceedings of the Advances in Information Retrieval, 2025

The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
On the Robustness of Generative Information Retrieval Models.
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

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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