Jia Hao

19 papers Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A semi-supervised performance prediction and resource adaptive allocation for cloud-native microservices.
J. Netw. Comput. Appl.
Ruijie Cao, Jia Hao, Hongyan Xia
2026 J jnl
Early Success Prediction for Online Learners: A Semisupervised and Self-Training Approach.
IEEE Trans. Comput. Soc. Syst.
Jia Hao, Jiatian Mei, Jianhou Gan
2026 J jnl
Teacher questioning strategies and student achievement: insights from AI Chatbot-Assisted interactive learning environments.
Educ. Inf. Technol.
Jia Hao, Shumin Liu, Xunxian Li, Jianhou Gan
2025 J jnl
QoS-Aware Augmented Reality Task Offloading and Resource Allocation in Cloud-Edge Collaboration Environment.
J. Netw. Syst. Manag.
Jia Hao, Yang Chen, Jianhou Gan
2024 — conf
Aggregating Neighbourhood Information of Items with Knowledge Graph and User Intent Information behind Interaction for Recommendation.
DSDE
Jinwei Peng, Jianhou Gan, Zijie Li, Jun Wang, Jia Hao
2024 J jnl
Delay-guaranteed Mobile Augmented Reality Task Offloading in Edge-assisted Environment.
Ad Hoc Networks
Jia Hao, Yang Chen, Jianhou Gan
2024 J jnl
Fine-grained resource adjustment of edge server in cloud-edge collaborative environment.
Clust. Comput.
Yu Peng, Jia Hao, Yang Chen, Jianhou Gan
2024 J jnl
MOOC performance prediction and analysis via Bayesian network and Maslow's hierarchical needs theory.
Interact. Learn. Environ.
Luyu Zhu, Jia Hao, Jianhou Gan
2022 — conf
MOOC Dropout Prediction Based on Bayesian Network.
ML4CS (3)
Shuang Shi, Shu Zhang, Jia Hao, Ken Chen, Jun Wang
2022 — conf
MOOC Performance Prediction and Online Design Instructional Suggestions Based on LightGBM.
ML4CS (3)
Yimin Ren, Jun Wang, Jia Hao, Jianhou Gan, Ken Chen
2022 J jnl
MOOC performance prediction and personal performance improvement via Bayesian network.
Educ. Inf. Technol.
Jia Hao, Jianhou Gan, Luyu Zhu
2021 — conf
Performance Prediction and Fine-Grained Resource Provision of Virtual Machines via LightGBM.
DMBD (1)
Jia Hao, Jun Wang, Zhaoxiang Ouyang
2021 — conf
Performance Prediction of Virtual Machines via Transfer Learning of Bayesian Network.
ICCCS
Jia Hao, Jianhou Gan, Juxiang Zhou, Jun Wang
2021 J jnl
Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes.
Clust. Comput.
Jia Hao, Kun Yue, Liang Duan, Binbin Zhang, Xiaodong Fu
2021 J jnl
Transfer learning of Bayesian network for measuring QoS of virtual machines.
Appl. Intell.
Jia Hao, Kun Yue, Binbin Zhang, Liang Duan, Xiaodong Fu
2020 — conf
An Efficient Approach for Parameters Learning of Bayesian Network with Multiple Latent Variables Using Neural Networks and P-EM.
CollaborateCom (1)
Kaiyu Song, Kun Yue, Xinran Wu, Jia Hao
2019 J jnl
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).
计算机科学
Binbin Zhang, Juan Wang, Kun Yue, Hao Wu, Jia Hao
2018 J jnl
Measuring performance degradation of virtual machines based on the Bayesian network with hidden variables.
Int. J. Commun. Syst.
Jia Hao, Binbin Zhang, Kun Yue, Hao Wu, Jixian Zhang
2017 — conf
Performance Measurement and Configuration Optimization of Virtual Machines Based on the Bayesian Network.
ICCCS (2)
Jia Hao, Binbin Zhang, Kun Yue, Juan Wang, Hao Wu