Sen Liu

According to our database, Sen Liu authored at least 12 papers between 2019 and 2023.

Collaborative distances:

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

2023

Adaptive Convolutional Subspace Reasoning Network for Few-Shot SAR Target Recognition.

Haohao Ren, Xuelian Yu, Sen Liu, Lin Zou, Xuegang Wang, Hao Tang

IEEE Trans. Geosci. Remote. Sens., 2023

Transductive Prototypical Attention Reasoning Network for Few-Shot SAR Target Recognition.

Haohao Ren, Sen Liu, Xuelian Yu, Lin Zou, Yun Zhou, Xuegang Wang, Hao Tang

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Siamese Subspace Classification Network for Few-Shot SAR Automatic Target Recognition.

Haohao Ren, Xuelian Yu, Xi Wang, Sen Liu, Lin Zou, Xuegang Wang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Bi-Similarity Prototypical Network with Capsule-Based Embedding for Few-Shot SAR Target Recognition.

Sen Liu, Xuelian Yu, Haohao Ren, Lin Zou, Yun Zhou, Xuegang Wang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020

Poisoning and Evasion Attacks Against Deep Learning Algorithms in Autonomous Vehicles.

Wenbo Jiang, Hongwei Li, Sen Liu, Xizhao Luo, Rongxing Lu

IEEE Trans. Veh. Technol., 2020

Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence.

Meng Hao, Hongwei Li, Xizhao Luo, Guowen Xu, Haomiao Yang, Sen Liu

IEEE Trans. Ind. Informatics, 2020

VerifyNet: Secure and Verifiable Federated Learning.

Guowen Xu, Hongwei Li, Sen Liu, Kan Yang, Xiaodong Lin

IEEE Trans. Inf. Forensics Secur., 2020

PADL: Privacy-Aware and Asynchronous Deep Learning for IoT Applications.

Xiaoyuan Liu, Hongwei Li, Guowen Xu, Sen Liu, Zhe Liu, Rongxing Lu

IEEE Internet Things J., 2020

2019

Efficient and Privacy-Preserving Truth Discovery in Mobile Crowd Sensing Systems.

Guowen Xu, Hongwei Li, Sen Liu, Mi Wen, Rongxing Lu

IEEE Trans. Veh. Technol., 2019

A Flexible Poisoning Attack Against Machine Learning.

Wenbo Jiang, Hongwei Li, Sen Liu, Yanzhi Ren, Miao He

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Towards Efficient and Privacy-Preserving Federated Deep Learning.

Meng Hao, Hongwei Li, Guowen Xu, Sen Liu, Haomiao Yang

Proceedings of the 2019 IEEE International Conference on Communications, 2019

EPPS: Efficient Privacy-Preserving Scheme in Distributed Deep Learning.

Yiran Li, Hongwei Li, Guowen Xu, Sen Liu, Rongxing Lu

Proceedings of the 2019 IEEE Global Communications Conference, 2019