Yu-An Liu
Orcid: 0000-0002-9125-5097Affiliations:
- 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.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
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
CoRR, October, 2025
Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems.
CoRR, May, 2025
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
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
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
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
IEEE Trans. Multim., 2022