Jia Hao

According to our database, Jia Hao authored at least 16 papers between 2017 and 2025.

Collaborative distances:

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

2025

QoS-Aware Augmented Reality Task Offloading and Resource Allocation in Cloud-Edge Collaboration Environment.

Jia Hao, Yang Chen, Jianhou Gan

J. Netw. Syst. Manag., March, 2025

2024

MOOC performance prediction and analysis via Bayesian network and Maslow's hierarchical needs theory.

Luyu Zhu, Jia Hao, Jianhou Gan

Interact. Learn. Environ., November, 2024

Fine-grained resource adjustment of edge server in cloud-edge collaborative environment.

Yu Peng, Jia Hao, Yang Chen, Jianhou Gan

Clust. Comput., September, 2024

Delay-guaranteed Mobile Augmented Reality Task Offloading in Edge-assisted Environment.

Jia Hao, Yang Chen, Jianhou Gan

Ad Hoc Networks, 2024

Aggregating Neighbourhood Information of Items with Knowledge Graph and User Intent Information behind Interaction for Recommendation.

Jinwei Peng, Jianhou Gan, Zijie Li, Jun Wang, Jia Hao

Proceedings of the 7th International Conference on Data Storage and Data Engineering, 2024

2022

MOOC performance prediction and personal performance improvement via Bayesian network.

Jia Hao, Jianhou Gan, Luyu Zhu

Educ. Inf. Technol., 2022

MOOC Dropout Prediction Based on Bayesian Network.

Shuang Shi, Shu Zhang, Jia Hao, Ken Chen, Jun Wang

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

MOOC Performance Prediction and Online Design Instructional Suggestions Based on LightGBM.

Yimin Ren, Jun Wang, Jia Hao, Jianhou Gan, Ken Chen

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

2021

Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes.

Jia Hao, Kun Yue, Liang Duan, Binbin Zhang, Xiaodong Fu

Clust. Comput., 2021

Transfer learning of Bayesian network for measuring QoS of virtual machines.

Jia Hao, Kun Yue, Binbin Zhang, Liang Duan, Xiaodong Fu

Appl. Intell., 2021

Performance Prediction and Fine-Grained Resource Provision of Virtual Machines via LightGBM.

Jia Hao, Jun Wang, Zhaoxiang Ouyang

Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

Performance Prediction of Virtual Machines via Transfer Learning of Bayesian Network.

Jia Hao, Jianhou Gan, Juxiang Zhou, Jun Wang

Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

2020

An Efficient Approach for Parameters Learning of Bayesian Network with Multiple Latent Variables Using Neural Networks and P-EM.

Kaiyu Song, Kun Yue, Xinran Wu, Jia Hao

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

2019

基于随机森林的虚拟机性能预测与配置优化 (Performance Prediction and Configuration Optimization of Virtual Machines Based on Random Forest).

Binbin Zhang, Juan Wang, Kun Yue, Hao Wu, Jia Hao

计算机科学, 2019

2018

Measuring performance degradation of virtual machines based on the Bayesian network with hidden variables.

Jia Hao, Binbin Zhang, Kun Yue, Hao Wu, Jixian Zhang

Int. J. Commun. Syst., 2018

2017

Performance Measurement and Configuration Optimization of Virtual Machines Based on the Bayesian Network.

Jia Hao, Binbin Zhang, Kun Yue, Juan Wang, Hao Wu

Proceedings of the Cloud Computing and Security - Third International Conference, 2017