Kaiju Li

According to our database, Kaiju Li authored at least 15 papers between 2019 and 2026.

Collaborative distances:

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

2026

COMMANDing anomalies: Continual video anomaly detection via dual-memory and temporal mamba modeling.

Yan Liu, Kaiju Li, Md Sabuj Khan, Jian Lang, Rongpei Hong, Kunpeng Zhang, Fan Zhou

Neurocomputing, 2026

A communication-efficient federated learning method for traffic flow prediction.

Kaiju Li, Qiang Xu, Dong Wang, Xiang Nie, Hao Wang

Eng. Appl. Artif. Intell., 2026

2025

ADDR: Anomaly Detection and Distortion Restoration for 3D Adversarial Point Cloud.

Hao Wang, Jian Liu, Qiang Xu, Dong Wang, Kaiju Li

IEEE Trans. Inf. Forensics Secur., 2025

Feature-Level Adversarial Attacks and Differential Privacy-Enhanced Defenses for Trajectory Classification.

Wandi Fu, Kun Bai, Hao Wang, Hongyan Ren, Kaiju Li

Concurr. Comput. Pract. Exp., 2025

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., December, 2024

Defending Against Data and Model Backdoor Attacks in Federated Learning.

Hao Wang, Xuejiao Mu, Dong Wang, Qiang Xu, Kaiju Li

IEEE Internet Things J., December, 2024

2023

Federated Learning Communication-Efficiency Framework via Corset Construction.

Kaiju Li, Hao Wang

Comput. J., September, 2023

PBFL: Communication-Efficient Federated Learning via Parameter Predicting.

Kaiju Li, Chunhua Xiao

Comput. J., March, 2023

FedTCR: communication-efficient federated learning via taming computing resources.

Kaiju Li, Hao Wang, Qinghua Zhang

Complex Intell. Syst., 2023

A Pedestrian Trajectory Prediction Network Based on Trajectory Conditional Visual Attention.

Xiaojie Tian, Ruoxi Lin, Shimeng Yang, Kaiju Li, Guangqiang Yin

Proceedings of the 6th International Conference on Algorithms, 2023

2022

CBFL: A Communication-Efficient Federated Learning Framework From Data Redundancy Perspective.

Kaiju Li, Chunhua Xiao

IEEE Syst. J., 2022

An optimal differentially private data release mechanism with constrained error.

Hao Wang, Zhengquan Xu, Xiaoshan Zhang, Xiao Peng, Kaiju Li

Frontiers Comput. Sci., 2022

2020

Resistance of IID Noise in Differentially Private Schemes for Trajectory Publishing.

Hao Wang, Kaiju Li

Comput. J., 2020

2019

SRS-LM: differentially private publication for infinite streaming data.

Hao Wang, Kaiju Li

J. Ambient Intell. Humaniz. Comput., 2019

Research on invulnerability of scale-free network with a unified method.

Kaiju Li, Hao Wang

Int. J. Arts Technol., 2019