Hao Zhou
Orcid: 0000-0002-5511-4609Affiliations:
- McGill University, School of Computer Science, Montreal, QC, Canada
- University of Ottawa, School of Electrical Engineering and Computer Science, Canada (PhD 2023)
According to our database1,
Hao Zhou
authored at least 54 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
FRSICL: LLM-Enabled In-Context Learning Flight Resource Allocation for Fresh Data Collection in UAV-Assisted Wildfire Monitoring.
CoRR, July, 2025
A Hierarchical DRL Approach for Resource Optimization in Multi-RIS Multi-Operator Networks.
IEEE Trans. Wirel. Commun., June, 2025
Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks.
CoRR, June, 2025
Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management.
CoRR, June, 2025
From Prompts to Protection: Large Language Model-Enabled In-Context Learning for Smart Public Safety UAV.
CoRR, June, 2025
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.
IEEE Commun. Surv. Tutorials, June, 2025
Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain.
CoRR, May, 2025
Hybrid LLM-DDQN-Based Joint Optimization of V2I Communication and Autonomous Driving.
IEEE Wirel. Commun. Lett., April, 2025
Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks.
CoRR, April, 2025
Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-Context Learning.
IEEE Wirel. Commun. Lett., March, 2025
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation.
CoRR, March, 2025
Cooperative Hierarchical Deep Reinforcement Learning-Based Joint Sleep and Power Control in RIS-Aided Energy-Efficient RAN.
IEEE Trans. Cogn. Commun. Netw., February, 2025
CVaR-Based Variational Quantum Optimization for User Association in Handoff-Aware Vehicular Networks.
CoRR, January, 2025
Machine Learning-Enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach.
IEEE Commun. Mag., January, 2025
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
Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective.
CoRR, 2024
Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing.
CoRR, 2024
CoRR, 2024
Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning.
CoRR, 2024
Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control.
CoRR, 2024
An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models.
CoRR, 2024
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities.
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