Research on invulnerability of scale-free network with a unified method. - Kaiju Li; Hao Wang (Int. J. Arts Technol., 2019)

SRS-LM: differentially private publication for infinite streaming data. - Hao Wang; Kaiju Li (J. Ambient Intell. Humaniz. Comput., 2019)

Resistance of IID Noise in Differentially Private Schemes for Trajectory Publishing. - Hao Wang; Kaiju Li (Comput. J., 2020)

An optimal differentially private data release mechanism with constrained error. - Hao Wang; Zhengquan Xu; Xiaoshan Zhang; Xiao Peng; Kaiju Li (Frontiers Comput. Sci., 2022)

CBFL: A Communication-Efficient Federated Learning Framework From Data Redundancy Perspective. - Kaiju Li; Chunhua Xiao (IEEE Syst. J., 2022)

A Pedestrian Trajectory Prediction Network Based on Trajectory Conditional Visual Attention. - Xiaojie Tian; Ruoxi Lin; Shimeng Yang; Kaiju Li; Guangqiang Yin (ACAI, 2023)

PBFL: Communication-Efficient Federated Learning via Parameter Predicting. - Kaiju Li; Chunhua Xiao (Comput. J., 2023)

Federated Learning Communication-Efficiency Framework via Corset Construction. - Kaiju Li; Hao Wang (Comput. J., 2023)

Defending Against Data and Model Backdoor Attacks in Federated Learning. - Hao Wang; Xuejiao Mu; Dong Wang 019; Qiang Xu 007; Kaiju Li (IEEE Internet Things J., 2024)

AoI and Energy Tradeoff for Aerial-Ground Collaborative MEC: A Multi-Objective Learning Approach. - Fuhong Song; Qixun Yang; Mingsen Deng; Huanlai Xing; Yanping Liu; Xi Yu; Kaiju Li; Lexi Xu (IEEE Trans. Mob. Comput., 2024)