Kaige Zhu

According to our database, Kaige Zhu authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Toward intelligent cooperation at the edge: improving the QoS of workflow scheduling with the competitive cooperation of edge servers.

Kaige Zhu, Zhenjiang Zhang, Feng Sun

Wirel. Networks, August, 2024

Learning to Optimize Workflow Scheduling for an Edge-Cloud Computing Environment.

Kaige Zhu, Zhenjiang Zhang, Sherali Zeadally, Feng Sun

IEEE Trans. Cloud Comput., 2024

2023

Research on resource allocation technology in highly trusted environment of edge computing.

Yang Zhang, Kaige Zhu, Xuan Zhao, Quancheng Zhao, Zhenjiang Zhang, Ali Kashif Bashir

J. Parallel Distributed Comput., August, 2023

Toward Heterogeneous Environment: Lyapunov-Orientated ImpHetero Reinforcement Learning for Task Offloading.

Feng Sun, Zhenjiang Zhang, Xiaolin Chang, Kaige Zhu

IEEE Trans. Netw. Serv. Manag., June, 2023

Auxiliary-Task-Based Energy-Efficient Resource Orchestration in Mobile Edge Computing.

Kaige Zhu, Zhenjiang Zhang, Mingxiong Zhao

IEEE Trans. Green Commun. Netw., March, 2023

Fast NURBS Skinning Algorithm and Ship Hull Section Refinement Model.

Kaige Zhu, Guoyou Shi, Jiao Liu, Jiahui Shi, Yuchuang Wang, Xing Jiang

Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing, 2023

Decision Model of Ship Intelligent Collision Avoidance Based on Automatic Information System Data and Generic Adversary Imitation Learning-Deep Deterministic Policy Gradient.

Jiao Liu, Guoyou Shi, Kaige Zhu, Jiahui Shi, Yuchuang Wang

Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing, 2023

2022

Workflow Makespan Minimization for Partially Connected Edge Network: A Deep Reinforcement Learning-Based Approach.

Kaige Zhu, Zhenjiang Zhang, Feng Sun, Bo Shen

IEEE Open J. Commun. Soc., 2022

2020

Online Multiple Outputs Least-Squares Support Vector Regression Model of Ship Trajectory Prediction Based on Automatic Information System Data and Selection Mechanism.

Jiao Liu, Guoyou Shi, Kaige Zhu

IEEE Access, 2020

2019

High-Precision Combined Tidal Forecasting Model.

Jiao Liu, Guoyou Shi, Kaige Zhu

Algorithms, 2019

2018

A Content Based Interest Mining Approach to Weibo Users.

Kaige Zhu, Yun Liu, Zhenjiang Zhang, Bo Shen

Proceedings of the 5th International Conference on Behavioral, 2018