Hao Zhou
Orcid: 0000-0002-5511-4609Affiliations:
- University of Ottawa, School of Electrical Engineering and Computer Science, Canada
According to our database1,
Hao Zhou
authored at least 35 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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on orcid.org
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Bibliography
2024
Heuristic Algorithms for RIS-Assisted Wireless Networks: Exploring Heuristic-Aided Machine Learning.
IEEE Wirel. Commun., August, 2024
On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering.
IEEE Trans. Cogn. Commun. Netw., April, 2024
IEEE Trans. Smart Grid, 2024
Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing.
CoRR, 2024
Machine Learning-enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach.
CoRR, 2024
A Survey on Model-Based, Heuristic, and Machine Learning Optimization Approaches in RIS-Aided Wireless Networks.
IEEE Commun. Surv. Tutorials, 2024
Proceedings of the IEEE International Conference on Communications, 2024
2023
Knowledge Transfer and Reuse: A Case Study of Ai-Enabled Resource Management in RAN Slicing.
IEEE Wirel. Commun., October, 2023
Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning.
CoRR, 2023
Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep, Power, and RIS Control for Energy-Efficient HetNet.
CoRR, 2023
Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments.
Proceedings of the IEEE International Conference on Communications, 2023
Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning.
Proceedings of the IEEE International Conference on Communications, 2023
Distributed Attacks over Federated Reinforcement Learning-Enabled Cell Sleep Control.
Proceedings of the IEEE Globecom Workshops 2023, 2023
Policy Poisoning Attacks on Transfer Learning Enabled Resource Allocation for Network Slicing.
Proceedings of the IEEE Global Communications Conference, 2023
Split Learning for Sensing-Aided Single and Multi-Level Beam Selection in Multi-Vendor RAN.
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
2022
Learning From Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing.
IEEE Trans. Cogn. Commun. Netw., 2022
Sensors, 2022
Multiagent Bayesian Deep Reinforcement Learning for Microgrid Energy Management Under Communication Failures.
IEEE Internet Things J., 2022
Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mmWave Networks.
CoRR, 2022
Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mm Wave Networks.
Proceedings of the IEEE Symposium on Computers and Communications, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home.
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G.
Proceedings of the IEEE Global Communications Conference, 2022
Knowledge Transfer based Radio and Computation Resource Allocation for 5G RAN Slicing.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
2021
Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures.
CoRR, 2021
Learning from Peers: Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G Network Slicing.
CoRR, 2021
Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning.
CoRR, 2021
Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021
Short-Term Load Forecasting for Smart Home Appliances with Sequence to Sequence Learning.
Proceedings of the ICC 2021, 2021
Proceedings of the IEEE Global Communications Conference, 2021
2020
Decentralized Microgrid Energy Management: A Multi-agent Correlated Q-learning Approach.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Proceedings of the 25th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2020