| 2025 | ICML | Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy. | Haoqi Wu, Wei Dai, Li Wang, Qiang Yan |
| 2024 | ICML | Ditto: Quantization-aware Secure Inference of Transformers upon MPC. | Haoqi Wu, Wenjing Fang, Yancheng Zheng, Junming Ma, Jin Tan, Lei Wang |
| 2024 | IGARSS | Adaptive Nonzero-Mean Detection Algorithm in Compound Gaussian Sea Clutter with Generalized Inverse Gaussian Texture. | Haoqi Wu, Hongzhi Guo, Zhihang Wang, Zishu He |
| 2024 | IGARSS | Persymmetric Adaptive Detection Of Range-Spread Targets With Unknown Steering Vectors Based On Rao And Wald Tests. | Hongzhi Guo, Zhihang Wang, Haoqi Wu, Zishu He, Ziyang Cheng |
| 2023 | IGARSS | Adaptive Detection in Nonzero-Mean Compound Gaussian Sea Clutter with Inverse Gamma Texture. | Haoqi Wu, Luxin Dong, Zhihang Wang, Zishu He, Xuan He |
| 2023 | USENIX | SecretFlow-SPU: A Performant and User-Friendly Framework for Privacy-Preserving Machine Learning. | Junming Ma, Yancheng Zheng, Jun Feng, Derun Zhao, Haoqi Wu, Wenjing Fang, Jin Tan, Chaofan Yu, Benyu Zhang, Lei Wang |
| 2022 | CCS | pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. | Lushan Song, Jiaxuan Wang, Zhexuan Wang, Xinyu Tu, Guopeng Lin, Wenqiang Ruan, Haoqi Wu, Weili Han |
| 2020 | TrustCom | Automated Enforcement of the Principle of Least Privilege over Data Source Access. | Haoqi Wu, Zhengxuan Yu, Dapeng Huang, Haodong Zhang, Weili Han |