[1] J. Li（李家印）, W. Guo, L. Xie, X. Liu and J. Cai. Privacy-Preserving Object Detection With Poisoning Recognition for Autonomous Vehicles[J] IEEE Transactions on Network Science and Engineering, 2023.

[2] J. Li（李家印）, w. Guo, x. Han, et al. Federated Learning based on Defending Against Data Poisoning Attacks in IoT[J]. arXiv preprint arXiv:2209.06397, 2022.

[3] W. Guo, J. Li*（李家印）, X. Liu, Y. Y. Privacy-Preserving Compressive Sensing for Real-Time Traffic Monitoring in Urban City[J]. IEEE Transactions on Vehicular Technology, 2020.

[4] 李家印, 郭文忠, 李小燕, 等. 基于智能交通的隐私保护道路状态实时监测方案[J]. 通信学报, 2020.

[5] J. Li（李家印）, W. Guo, Z. Ma, et al. Privacy-Preserving Compressive Sensing for Traffic Estimation[C]. IEEE Global Communications Conference, 2019.

[6] J. Li（李家印）, H. Zheng, X. Feng, Z. Chen. Traffic Estimation in Road Networks via Compressive Sensing [C]. IEEE International Conference on Wireless Communications and Signal Processing, 2017.

[7] L. Ren, X Ning*, J. Li（李家印）, Hierarchical Reinforcement-learning for Real-Time Scheduling of Agile Satellites[J]. IEEE Access, 2020.

[8] H. Zheng, J. Li（李家印）, X. Feng, et al. Spatial-Temporal Data Collection with Compressive Sensing in Mobile Sensor Networks[J]. MDPI Sensors, 2017.

[1] 基于深度卷积神经网络的云中保护外包数据隐私保护系统. 专利号：ZL201910653448.6，授权时间：2023.05.30

[2] 基于城市交通的隐私保护压缩感知实时交通监测方法. 专利号：ZL202010649250.3，授权时间：2021.08.31

[3] 一种基于车辆数据隐私保护与压缩感知的交通估计方法. 专利号：ZL201811551841.6，授权时间：2021.03.02

[4] 一种实用性云端隐私保护外包计算系统及其计算方法. 专利号：ZL201910723361.1，授权时间：2020.10.09

[5] 移动无线传感器网络中基于核函数的压缩数据收集方法. 专利号：ZL201610503784.9，授权时间：2019.06.07

[1].交通网络数据的层次化隐私保护研究 (福建省青年创新基金项目) 2023-2026, 主持

[2].面向自动驾驶汽车具有中毒防御机制隐私保护方法 (开放课题项目) 2022-2023, 主持