| 2026 | ACL | Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning. | Yanrui Du, Fenglei Fan, Sendong Zhao, Jiawei Cao, Ming Ma, Danyang Zhao, Shuren Qi, Ting Liu, Bing Qin |
| 2025 | AAAI | Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models. | Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin |
| 2025 | IJCNN | MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. | Muzhen Cai, Sendong Zhao, Haochun Wang, Haoqiang Guo, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu |
| 2024 | AAAI | From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. | Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin |
| 2024 | AAAI | MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. | Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin |
| 2023 | EMNLP | Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. | Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin |
| 2023 | IJCAI | Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. | Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin |