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Jia Hao

ORCID: 0000-0001-8099-9771
Observed ORCID: 0000-0001-8099-9771
OpenAlex ID: A5036602140
MOOC performance prediction and personal performance improvement via Bayesian network
2022 · Jia Hao, Jianhou Gan, et al. · Education and Information Technologies · 46
Learning Multifrequency Integration Network for RGBT Tracking
2024 · Jiatian Mei, Juxiang Zhou, et al. · IEEE Sensors Journal · 22
Transfer learning of Bayesian network for measuring QoS of virtual machines
2021 · Jia Hao, Kun Yue, et al. · Applied Intelligence · 15
Measuring performance degradation of virtual machines based on the Bayesian network with hidden variables
2018 · Jia Hao, Binbin Zhang, et al. · International Journal of Communication Systems · 10
Teacher questioning strategies and student achievement: insights from AI Chatbot-Assisted interactive learning environments
2025 · Jia Hao, Shumin Liu, et al. · Education and Information Technologies · 9
Adaptive intelligent agent for cloud edge collaborative industrial inspection driven by multimodal data fusion and deep transformation networks
2024 · Jia Hao, Jiawei Sun, et al. · Alexandria Engineering Journal · 9
Delay-guaranteed Mobile Augmented Reality Task Offloading in Edge-assisted Environment
2024 · Jia Hao, Yang Chen, et al. · Ad Hoc Networks · 9
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Transformer-based performance prediction and proactive resource allocation for cloud-native microservices
2025 · Yang Chen, Jia Hao, et al. · Cluster Computing · 8
QoS-Aware Augmented Reality Task Offloading and Resource Allocation in Cloud-Edge Collaboration Environment
2024 · Jia Hao, Yang Chen, et al. · Journal of Network and Systems Management · 8
Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes
2020 · Jia Hao, Kun Yue, et al. · Cluster Computing · 7
Fine-grained resource adjustment of edge server in cloud-edge collaborative environment
2024 · Yu Peng, Jia Hao, et al. · Cluster Computing · 4
MOOC performance prediction and analysis via Bayesian network and Maslow’s hierarchical needs theory
2023 · Luyu Zhu, Jia Hao, et al. · Interactive Learning Environments · 4
An Efficient Approach for Parameters Learning of Bayesian Network with Multiple Latent Variables Using Neural Networks and P-EM
2021 · Kaiyu Song, Kun Yue, et al. · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · 4
Performance Measurement and Configuration Optimization of Virtual Machines Based on the Bayesian Network
2017 · Jia Hao, Binbin Zhang, et al. · Lecture notes in computer science · 4
Performance prediction and resource adaptive adjustment for cloud-native microservices
2025 · Yu Peng, Jia Hao, et al. · Cluster Computing · 3
A semi-supervised performance prediction and resource adaptive allocation for cloud-native microservices
2026 · Ruijie Cao, Jia Hao, et al. · Journal of Network and Computer Applications · 2
Marzano’s taxonomy-guided AI-generated answer detection and analysis of student achievement in interactive classrooms
2026 · Shumin Liu, Xunxian Li, et al. · Interactive Learning Environments · 1
Aggregating Neighbourhood Information of Items with Knowledge Graph and User Intent Information behind Interaction for Recommendation
2024 · Jinwei Peng, Jianhou Gan, et al. · Data Storage and Data Engineering · 1
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Performance Prediction and Fine-Grained Resource Provision of Virtual Machines via LightGBM
2021 · Jia Hao, Jun Wang, et al. · Communications in computer and information science · 1
Temporal-aware semi-supervised performance prediction and resource allocation for cloud-native microservices
2026 · Ruijie Cao, Jia Hao, et al. · Journal of King Saud University - Computer and Information Sciences
Early Success Prediction for Online Learners: A Semisupervised and Self-Training Approach
2025 · Jia Hao, Jiatian Mei, et al. · IEEE Transactions on Computational Social Systems
A Self-Training and Semi-Supervised-Based Microservice Performance Prediction Method for Cloud-Native Microservices
2025 · Ruijie Cao, Jia Hao, et al. · IEEE International Conference on Parallel and Distributed Systems (ICPADS)
An Analysis of the Influence of Group Perception Tools on Students' Knowledge Construction and Development in Online Collaboration and Interaction
2025 · Yongrun Wang, Jun Wang, et al. · International Conference on Computer Science and Technologies in Education (CSTE)
A Differentiated Neurocognitive Diagnostic Model Based on Student Level, Exercise Difficulty and Discrimination
2025 · Dongkai Qi, Xiaoyu Han, et al. · Communications in computer and information science
Performance Prediction of Virtual Machines via Transfer Learning of Bayesian Network
2021 · Jia Hao, Jianhou Gan, et al. · International Conference on Computer and Communication Systems (ICCCS)
Works count: 26
Citation count: 171
H-index: 8
I10-index: 4
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