| 2026 | AAAI | Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning. | Wenda Wei, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Xueqi Cheng |
| 2026 | ACL | Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation. | Xin Liu, Yu-An Liu, Ruqing Zhang, Yixing Fan, Lixin Su, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Hongru Song, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2026 | WWW | Dj Vu of Strange Stickers! Enhancing Out-of-Distribution Robustness in Sticker Retrieval via Cross-Modal Intent Alignment. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Fan Zhang, Yinhu Zhao |
| 2026 | SIGIR | Is a Busy Search Agent a Good One? Overthinking and Overretrieval at Scale. | Xin Liu, Ruqing Zhang, Yu-An Liu, Lixin Su, Jiafeng Guo, Xueqi Cheng |
| 2026 | SIGIR | AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning. | Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | AAAI | Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | ACL | The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems. | Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Jianming Lv, Maarten de Rijke, Xueqi Cheng |
| 2025 | ECIR | On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Maarten de Rijke, Xueqi Cheng |
| 2025 | SIGIR | On the Scaling of Robustness and Effectiveness in Dense Retrieval. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | SIGIR | Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval. | Yu-An Liu, Haya Nachimovsky, Ruqing Zhang, Oren Kurland, Jiafeng Guo, Moshe Tennenholtz |
| 2025 | WSDM | Robust Information Retrieval. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke |
| 2024 | AAAI | Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. | Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng |
| 2024 | SIGIR | Robust Information Retrieval. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke |
| 2024 | SIGIR | Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2023 | CIKM | Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | SIGIR | Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |