| 2025 | ECAI | Stealing Knowledge from Auditable Datasets. | Hongyu Zhu, Sichu Liang, Wentao Hu, Wenwen Wang, Fangqi Li, Shilin Wang, Zhuosheng Zhang |
| 2025 | ICASSP | Rethinking the Fragility and Robustness of Fingerprints of Deep Neural Networks. | Fangqi Li, Shilin Wang, Lei Yang |
| 2025 | ICASSP | Efficient and Effective Model Extraction. | Hongyu Zhu, Wentao Hu, Sichu Liang, Fangqi Li, Wenwen Wang, Shilin Wang |
| 2025 | ICCV | Evading Data Provenance in Deep Neural Networks. | Hongyu Zhu, Sichu Liang, Wenwen Wang, Zhuomeng Zhang, Fangqi Li, Shi-Lin Wang |
| 2025 | ICIG | Towards a Practical Screen-Filming Resistant Image Watermarking System. | Shicong Han, Fei Wu, Fangqi Li, Shilin Wang |
| 2024 | AAAI | Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond. | Fangqi Li, Haodong Zhao, Wei Du, Shilin Wang |
| 2024 | EMNLP | R-Judge: Benchmarking Safety Risk Awareness for LLM Agents. | Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Fangqi Li, Zhuosheng Zhang, Rui Wang, Gongshen Liu |
| 2023 | AAAI | PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models. | Peixuan Li, Pengzhou Cheng, Fangqi Li, Wei Du, Haodong Zhao, Gongshen Liu |
| 2023 | ICASSP | FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning. | Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu |
| 2022 | AAAI | Leveraging Multi-task Learning for Umambiguous and Flexible Deep Neural Network Watermarking. | Fangqi Li, Lei Yang, Shilin Wang, Alan Wee-Chung Liew |
| 2020 | ICDM | Gaussian Process Bandits for Online Influence Maximization. | Wenwen Xia, Fangqi Li, Shenghong Li |
| 2019 | GLOBECOM | Maximizing Influence on Social Networks with Conjugate Learning Automata. | Chong Di, Fangqi Li, Kaiyue Qi, Shenghong Li |