| 2026 | DASFAA | Is There a Structural Privacy Risk in Graph Prompting with LLMs? | Jiani Zhu, Xi Lin, Yuxin Qi, Qinghua Mao, Jianhua Li, Jun Wu |
| 2025 | AAAI | Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation. | Yuxin Qi, Quan Zhang, Xi Lin, Xiu Su, Jiani Zhu, Jingyu Wang, Jianhua Li |
| 2025 | AAAI | Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction. | Quan Zhang, Yuxin Qi, Xi Tang, Rui Yuan, Xi Lin, Ke Zhang, Chun Yuan |
| 2025 | CVPR | Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models. | Quan Zhang, Jinwei Fang, Rui Yuan, Xi Tang, Yuxin Qi, Ke Zhang, Chun Yuan |
| 2025 | ICDE | Scalable Machine Learning for Real-Time Fault Diagnosis in Industrial IoT Cooling Roller Systems. | Dandan Zhao, Karthick Sharma, Yuxin Qi, Qixun Liu, Shuhao Zhang |
| 2025 | ICLR | IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning. | Quan Zhang, Yuxin Qi, Xi Tang, Jinwei Fang, Xi Lin, Ke Zhang, Chun Yuan |
| 2024 | WCNC | Local Differential Private Spatio- Temporal Dynamic Graph Learning for Wireless Social Networks. | Jiani Zhu, Xi Lin, Yuxin Qi, Gaolei Li, Chaofeng Zhang, Jianhua Li |
| 2024 | WWW | LinkGuard: Link Locally Privacy-Preserving Graph Neural Networks with Integrated Denoising and Private Learning. | Yuxin Qi, Xi Lin, Ziyao Liu, Gaolei Li, Jingyu Wang, Jianhua Li |
| 2024 | WWW | Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining. | Jingyu Wang, Niantai Jing, Ziyao Liu, Jie Nie, Yuxin Qi, Chi-Hung Chi, Kwok-Yan Lam |