| 2025 | AAAI | CAMH: Advancing Model Hijacking Attack in Machine Learning. | Xing He, Jiahao Chen, Yuwen Pu, Qingming Li, Chunyi Zhou, Yingcai Wu, Jinbao Li, Shouling Ji |
| 2025 | AAAI | Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. | Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li |
| 2025 | ACL | TWIST: Text-encoder Weight-editing for Inserting Secret Trojans in Text-to-Image Models. | Xindi Li, Zhe Liu, Tong Zhang, Jiahao Chen, Qingming Li, Jinbao Li, Shouling Ji |
| 2025 | EMNLP | IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents. | Hengyu An, Jinghuai Zhang, Tianyu Du, Chunyi Zhou, Qingming Li, Tao Lin, Shouling Ji |
| 2025 | EMNLP | VideoEraser: Concept Erasure in Text-to-Video Diffusion Models. | Naen Xu, Jinghuai Zhang, Changjiang Li, Zhi Chen, Chunyi Zhou, Qingming Li, Tianyu Du, Shouling Ji |
| 2025 | ICCV | An Inversion-Based Measure of Memorization for Diffusion Models. | Zhe Ma, Qingming Li, Xuhong Zhang, Tianyu Du, Ruixiao Lin, Zonghui Wang, Shouling Ji, Wenzhi Chen |
| 2025 | ICLR | Enhancing Learning with Label Differential Privacy by Vector Approximation. | Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li |
| 2024 | ICASSP | AdaFL: Adaptive Client Selection and Dynamic Contribution Evaluation for Efficient Federated Learning. | Qingming Li, Xiaohang Li, Li Zhou, Xiaoran Yan |
| 2024 | TrustCom | FedSGProx: Mitigating Data Heterogeneity and Isolated Nodes in Graph Federated Learning. | Xutao Meng, Qingming Li, Yong Li, Li Zhou, Xiaoran Yan |
| 2021 | PRICAI | Consistency Regularization for Ensemble Model Based Reinforcement Learning. | Ruonan Jia, Qingming Li, Wenzhen Huang, Junge Zhang, Xiu Li |
| 2018 | ICASSP | Prima: Probabilistic Ranking with Inter-Item Competition and Multi-Attribute Utility Function. | Qingming Li, Zhanjiang Chen, H. Vicky Zhao, Yan Lindsay Sun |