Hao Zhou - RankMe

84 papers A* 1B 8C 1Journal 61Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Large Language Models (LLMs) for Telecom using Dynamic Knowledge Graphs and Explainable Retrieval-Augmented Generation. CoRR Dun Yuan, Hao Zhou, Xue Liu, Hao Chen, Yan Xin, Jianzhong Zhang
2026	J	`jnl`	Large Language Model-Assisted UAV Operations and Communications: A Multifaceted Survey and Tutorial. CoRR Yousef Emami, Hao Zhou, Radha Reddy, Atefeh Hajijamali Arani, Biliang Wang, Kai Li, Luís Almeida, Zhu Han
2025	J	`jnl`	A Hierarchical DRL Approach for Resource Optimization in Multi-RIS Multi-Operator Networks. IEEE Trans. Wirel. Commun. Haocheng Zhang, Wei Wang, Hao Zhou, Zhiping Lu, Ming Li
2025	—	`conf`	CVaR-Based Variational Quantum Optimization for User Association in Handoff-Aware Vehicular Networks. ICC Zijiang Yan, Hao Zhou, Jianhua Pei, Aryan Kaushik, Hina Tabassum, Ping Wang
2025	J	`jnl`	CVaR-Based Variational Quantum Optimization for User Association in Handoff-Aware Vehicular Networks. CoRR Zijiang Yan, Hao Zhou, Jianhua Pei, Aryan Kaushik, Hina Tabassum, Ping Wang
2025	J	`jnl`	Cooperative Hierarchical Deep Reinforcement Learning-Based Joint Sleep and Power Control in RIS-Aided Energy-Efficient RAN. IEEE Trans. Cogn. Commun. Netw. Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci
2025	J	`jnl`	Diffusion Models for Smarter UAVs: Decision-Making and Modeling. CoRR Yousef Emami, Hao Zhou, Luis Almeida, Kai Li
2025	—	`conf`	Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation. ICC Workshops Dun Yuan, Hao Zhou, Di Wu, Xue Liu, Hao Chen, Yan Xin, Jianzhong Charlie Zhang
2025	J	`jnl`	Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation. CoRR Dun Yuan, Hao Zhou, Di Wu, Xue Liu, Hao Chen, Yan Xin, Jianzhong Zhang
2025	J	`jnl`	FRSICL: LLM-Enabled In-Context Learning Flight Resource Allocation for Fresh Data Collection in UAV-Assisted Wildfire Monitoring. CoRR Yousef Emami, Hao Zhou, Miguel Gutiérrez Gaitán, Kai Li, Luis Almeida
2025	J	`jnl`	From Prompts to Protection: Large Language Model-Enabled In-Context Learning for Smart Public Safety UAV. CoRR Yousef Emami, Hao Zhou, Miguel Gutiérrez Gaitán, Kai Li, Luis Almeida, Zhu Han
2025	J	`jnl`	Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-Context Learning. IEEE Wirel. Commun. Lett. Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Zhu Han, Jianzhong Zhang
2025	A*	`conf`	Generative AI for Immersive Video: Recent Advances and Future Opportunities. IJCAI Kaiyuan Hu, Yili Jin, Hao Zhou, Linfeng Du, Jiangchuan Liu, Xue Liu
2025	J	`jnl`	Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management. CoRR Yuyan Lin, Hao Zhou, Chengming Hu, Xue Liu, Hao Chen, Yan Xin, Jianzhong Zhang
2025	J	`jnl`	Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks. CoRR Zijiang Yan, Hao Zhou, Jianhua Pei, Hina Tabassum
2025	J	`jnl`	Hybrid LLM-DDQN-Based Joint Optimization of V2I Communication and Autonomous Driving. IEEE Wirel. Commun. Lett. Zijiang Yan, Hao Zhou, Hina Tabassum, Xue Liu
2025	J	`jnl`	Intelligent Attacks and Defense Methods in Federated Learning-Enabled Energy-Efficient Wireless Networks. IEEE Trans. Wirel. Commun. Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2025	J	`jnl`	Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks. CoRR Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2025	J	`jnl`	Joint Communication Scheduling and Velocity Control for Multi-UAV-Assisted Post-Disaster Monitoring: An Attention-Based In-Context Learning Approach. CoRR Yousef Emami, Seyedsina Nabavirazavi, Jingjing Zheng, Hao Zhou, Miguel Gutiérrez Gaitán, Kai Li, Luis Almeida
2025	J	`jnl`	LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-Assisted Sensor Networks. IEEE Internet Things J. Yousef Emami, Hao Zhou, Seyedsina Nabavirazavi, Luis Almeida
2025	J	`jnl`	LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks. CoRR Yousef Emami, Hao Zhou, SeyedSina Nabavirazani, Luis Almeida
2025	J	`jnl`	Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. IEEE Commun. Surv. Tutorials Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue (Steve) Liu, Jianzhong Zhang, Xianbin Wang, Jiangchuan Liu
2025	J	`jnl`	Machine Learning-Enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach. IEEE Commun. Mag. Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci
2025	B	`conf`	Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain. GLOBECOM Ye Yuan, Haolun Wu, Hao Zhou, Xue Liu, Hao Chen, Yan Xin, Jianzhong Charlie Zhang
2025	J	`jnl`	Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain. CoRR Ye Yuan, Haolun Wu, Hao Zhou, Xue Liu, Hao Chen, Yan Xin, Jianzhong Zhang
2024	J	`jnl`	A Survey on Model-Based, Heuristic, and Machine Learning Optimization Approaches in RIS-Aided Wireless Networks. IEEE Commun. Surv. Tutorials Hao Zhou, Melike Erol-Kantarci, Yuanwei Liu, H. Vincent Poor
2024	J	`jnl`	An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models. CoRR Hao Zhou, Chengming Hu, Xue Liu
2024	J	`jnl`	Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning. CoRR Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Zhu Han, Charlie Zhang
2024	J	`jnl`	Heuristic Algorithms for RIS-Assisted Wireless Networks: Exploring Heuristic-Aided Machine Learning. IEEE Wirel. Commun. Hao Zhou, Melike Erol-Kantarci, Yuanwei Liu, H. Vincent Poor
2024	J	`jnl`	Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving. CoRR Zijiang Yan, Hao Zhou, Hina Tabassum, Xue Liu
2024	—	`conf`	Jamming Attacks and Mitigation in Transfer Learning Enabled 5G RAN Slicing. ICC Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2024	J	`jnl`	Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. CoRR Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue Liu, Charlie Jianzhong Zhang, Xianbin Wang, Jiangchuan Liu
2024	J	`jnl`	Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control. CoRR Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Charlie Jianzhong Zhang
2024	J	`jnl`	Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective. CoRR Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xi Chen, Hina Tabassum, Xue Liu
2024	J	`jnl`	Machine Learning-enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach. CoRR Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci
2024	J	`jnl`	On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering. IEEE Trans. Cogn. Commun. Netw. Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2024	J	`jnl`	Self-Refined Generative Foundation Models for Wireless Traffic Prediction. CoRR Chengming Hu, Hao Zhou, Di Wu, Xi Chen, Jun Yan, Xue Liu
2024	J	`jnl`	Smart Home Energy Management: VAE-GAN Synthetic Dataset Generator and Q-Learning. IEEE Trans. Smart Grid Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut
2024	J	`jnl`	Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing. CoRR Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	—	`conf`	Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning. ICC Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci
2023	J	`jnl`	Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning. CoRR Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci
2023	J	`jnl`	Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep, Power, and RIS Control for Energy-Efficient HetNet. CoRR Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci
2023	—	`conf`	Distributed Attacks over Federated Reinforcement Learning-Enabled Cell Sleep Control. GLOBECOM (Workshops) Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	J	`jnl`	Distributed Attacks over Federated Reinforcement Learning-enabled Cell Sleep Control. CoRR Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	J	`jnl`	Heuristic Algorithms for RIS-assisted Wireless Networks: Exploring Heuristic-aided Machine Learning. CoRR Hao Zhou, Melike Erol-Kantarci, Yuanwei Liu, H. Vincent Poor
2023	—	`conf`	Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. ICC Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	J	`jnl`	Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. CoRR Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	J	`jnl`	Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning. CoRR Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	J	`jnl`	Knowledge Transfer and Reuse: A Case Study of Ai-Enabled Resource Management in RAN Slicing. IEEE Wirel. Commun. Hao Zhou, Melike Erol-Kantarci, H. Vincent Poor
2023	J	`jnl`	On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering. CoRR Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	B	`conf`	Policy Poisoning Attacks on Transfer Learning Enabled Resource Allocation for Network Slicing. GLOBECOM Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci
2023	J	`jnl`	Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning. CoRR Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut
2023	B	`conf`	Split Learning for Sensing-Aided Single and Multi-Level Beam Selection in Multi-Vendor RAN. GLOBECOM Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Yigit Ozcan, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci
2023	—	`conf`	Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning. CCNC Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci
2023	J	`jnl`	Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning. CoRR Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci
2022	C	`conf`	Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mm Wave Networks. ISCC Yujie Yao, Hao Zhou, Melike Erol-Kantarci
2022	J	`jnl`	Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mmWave Networks. CoRR Yujie Yao, Hao Zhou, Melike Erol-Kantarci
2022	B	`conf`	Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing. GLOBECOM Han Zhang, Hao Zhou, Melike Erol-Kantarci
2022	J	`jnl`	Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing. CoRR Han Zhang, Hao Zhou, Melike Erol-Kantarci
2022	B	`conf`	Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN. GLOBECOM Hao Zhou, Long Kong, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci
2022	B	`conf`	Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G. GLOBECOM Yujie Yao, Hao Zhou, Melike Erol-Kantarci
2022	J	`jnl`	Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G. CoRR Yujie Yao, Hao Zhou, Melike Erol-Kantarci
2022	J	`jnl`	Knowledge Transfer and Reuse: A Case Study of AI-enabled Resource Management in RAN Slicing. CoRR Hao Zhou, Melike Erol-Kantarci, H. Vincent Poor
2022	—	`conf`	Knowledge Transfer based Radio and Computation Resource Allocation for 5G RAN Slicing. CCNC Hao Zhou, Melike Erol-Kantarci
2022	J	`jnl`	Learning From Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing. IEEE Trans. Cogn. Commun. Netw. Hao Zhou, Melike Erol-Kantarci, H. Vincent Poor
2022	J	`jnl`	Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN). Sensors Pedro Enrique Iturria-Rivera, Han Zhang, Hao Zhou, Shahram Mollahasani, Melike Erol-Kantarci
2022	J	`jnl`	Multiagent Bayesian Deep Reinforcement Learning for Microgrid Energy Management Under Communication Failures. IEEE Internet Things J. Hao Zhou, Atakan Aral, Ivona Brandic, Melike Erol-Kantarci
2022	—	`conf`	Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN). ICC Han Zhang, Hao Zhou, Melike Erol-Kantarci
2022	J	`jnl`	Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN). CoRR Han Zhang, Hao Zhou, Melike Erol-Kantarci
2022	—	`conf`	Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home. ICC Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut
2022	J	`jnl`	Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home. CoRR Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut
2021	J	`jnl`	Correlated Deep Q-learning based Microgrid Energy Management. CoRR Hao Zhou, Melike Erol-Kantarci
2021	J	`jnl`	Decentralized Microgrid Energy Management: A Multi-agent Correlated Q-learning Approach. CoRR Hao Zhou, Melike Erol-Kantarci
2021	J	`jnl`	Knowledge Transfer based Radio and Computation Resource Allocation for 5G RAN Slicing. CoRR Hao Zhou, Melike Erol-Kantarci
2021	J	`jnl`	Learning from Peers: Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G Network Slicing. CoRR Hao Zhou, Melike Erol-Kantarci, H. Vincent Poor
2021	J	`jnl`	Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures. CoRR Hao Zhou, Atakan Aral, Ivona Brandic, Melike Erol-Kantarci
2021	B	`conf`	RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning. PIMRC Hao Zhou, Medhat H. M. Elsayed, Melike Erol-Kantarci
2021	J	`jnl`	RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning. CoRR Hao Zhou, Medhat H. M. Elsayed, Melike Erol-Kantarci
2021	—	`conf`	Short-Term Load Forecasting for Smart Home Appliances with Sequence to Sequence Learning. ICC Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut
2021	J	`jnl`	Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning. CoRR Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut
2021	B	`conf`	Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning. GLOBECOM Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut
2021	J	`jnl`	Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning. CoRR Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut
2020	—	`conf`	Correlated Deep Q-learning based Microgrid Energy Management. CAMAD Hao Zhou, Melike Erol-Kantarci
2020	—	`conf`	Decentralized Microgrid Energy Management: A Multi-agent Correlated Q-learning Approach. SmartGridComm Hao Zhou, Melike Erol-Kantarci