Haoqi Wu

According to our database, Haoqi Wu authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adaptive radar target detection in nonzero-mean compound Gaussian sea clutter with random texture.

Haoqi Wu, Zhihang Wang, Hongzhi Guo, Zishu He

Signal Process., 2025

Bayesian detection for distributed targets in compound Gaussian sea clutter with lognormal texture.

Hongzhi Guo, Zhihang Wang, Haoqi Wu, Zishu He, Ziyang Cheng

Signal Process., 2025

2024

Adaptive Persymmetric Subspace Detection in Non-Gaussian Sea Clutter With Structured Interference.

Hongzhi Guo, Zhihang Wang, Haoqi Wu, Zishu He, Ziyang Cheng

IEEE Trans. Geosci. Remote. Sens., 2024

Persymmetric Adaptive Detection for Dual-Polarimetric Radar in Lognormal Texture Sea Clutter.

Hongzhi Guo, Zhihang Wang, Haoqi Wu, Zishu He, Ziyang Cheng

IEEE Geosci. Remote. Sens. Lett., 2024

Nimbus: Secure and Efficient Two-Party Inference for Transformers.

Zhengyi Li, Kang Yang, Jin Tan, Wen-jie Lu, Haoqi Wu, Xiao Wang, Yu Yu, Derun Zhao, Yancheng Zheng, Minyi Guo, Jingwen Leng

CoRR, 2024

Ditto: Quantization-aware Secure Inference of Transformers upon MPC.

Haoqi Wu, Wenjing Fang, Yancheng Zheng, Junming Ma, Jin Tan, Yinggui Wang, Lei Wang

CoRR, 2024

Adaptive Nonzero-Mean Detection Algorithm in Compound Gaussian Sea Clutter with Generalized Inverse Gaussian Texture.

Haoqi Wu, Hongzhi Guo, Zhihang Wang, Zishu He

Proceedings of the IGARSS 2024, 2024

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

Proceedings of the IGARSS 2024, 2024

Ditto: Quantization-aware Secure Inference of Transformers upon MPC.

Haoqi Wu, Wenjing Fang, Yancheng Zheng, Junming Ma, Jin Tan, Lei Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Hybrid CNN-Transformer Network for Electricity Theft Detection in Smart Grids.

Yu Bai, Haitong Sun, Lili Zhang, Haoqi Wu

Sensors, October, 2023

PUMA: Secure Inference of LLaMA-7B in Five Minutes.

Ye Dong, Wen-jie Lu, Yancheng Zheng, Haoqi Wu, Derun Zhao, Jin Tan, Zhicong Huang, Cheng Hong, Tao Wei, Wenguang Chen

CoRR, 2023

Improving Real-world Password Guessing Attacks via Bi-directional Transformers.

Ming Xu, Jitao Yu, Xinyi Zhang, Chuanwang Wang, Shenghao Zhang, Haoqi Wu, Weili Han

Proceedings of the 32nd USENIX Security Symposium, 2023

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

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Adaptive Detection in Nonzero-Mean Compound Gaussian Sea Clutter with Inverse Gamma Texture.

Haoqi Wu, Luxin Dong, Zhihang Wang, Zishu He, Xuan He

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Multi-Source Spatio-Temporal Data-Based Tourism Structure Analysis of Demonstration City for Global Tourism: Case Study of Liyang, China.

Haoqi Wu, Zhenan Chen, Jun Yan, Xiaolan Tang

ISPRS Int. J. Geo Inf., 2022

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

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2020

SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation.

Lushan Song, Haoqi Wu, Wenqiang Ruan, Weili Han

CoRR, 2020

Automated Enforcement of the Principle of Least Privilege over Data Source Access.

Haoqi Wu, Zhengxuan Yu, Dapeng Huang, Haodong Zhang, Weili Han

Proceedings of the 19th IEEE International Conference on Trust, 2020