Correlated Deep Q-learning based Microgrid Energy Management. - Hao Zhou 013; Melike Erol-Kantarci (CAMAD, 2020)

Decentralized Microgrid Energy Management: A Multi-agent Correlated Q-learning Approach. - Hao Zhou 013; Melike Erol-Kantarci (SmartGridComm, 2020)

Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning. - Mina Razghandi; Hao Zhou 013; Melike Erol-Kantarci; Damla Turgut (GLOBECOM, 2021)

Short-Term Load Forecasting for Smart Home Appliances with Sequence to Sequence Learning. - Mina Razghandi; Hao Zhou 013; Melike Erol-Kantarci; Damla Turgut (ICC, 2021)

RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning. - Hao Zhou 013; Medhat H. M. Elsayed; Melike Erol-Kantarci (PIMRC, 2021)

Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning. - Mina Razghandi; Hao Zhou 013; Melike Erol-Kantarci; Damla Turgut (CoRR, 2021)

Learning from Peers: Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G Network Slicing. - Hao Zhou 013; Melike Erol-Kantarci; H. Vincent Poor (CoRR, 2021)

Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures. - Hao Zhou 013; Atakan Aral; Ivona Brandic; Melike Erol-Kantarci (CoRR, 2021)

Knowledge Transfer based Radio and Computation Resource Allocation for 5G RAN Slicing. - Hao Zhou 013; Melike Erol-Kantarci (CCNC, 2022)

Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G. - Yujie Yao; Hao Zhou 013; Melike Erol-Kantarci (GLOBECOM, 2022)

Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing. - Han Zhang 055; Hao Zhou 013; Melike Erol-Kantarci (GLOBECOM, 2022)

Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN. - Hao Zhou 013; Long Kong; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Steve Furr; Melike Erol-Kantarci (GLOBECOM, 2022)

Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home. - Mina Razghandi; Hao Zhou 013; Melike Erol-Kantarci; Damla Turgut (ICC, 2022)

Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN). - Han Zhang 055; Hao Zhou 013; Melike Erol-Kantarci (ICC, 2022)

Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mm Wave Networks. - Yujie Yao; Hao Zhou 013; Melike Erol-Kantarci (ISCC, 2022)

Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mmWave Networks. - Yujie Yao; Hao Zhou 013; Melike Erol-Kantarci (CoRR, 2022)

Multiagent Bayesian Deep Reinforcement Learning for Microgrid Energy Management Under Communication Failures. - Hao Zhou 013; Atakan Aral; Ivona Brandic; Melike Erol-Kantarci (IEEE Internet Things J., 2022)

Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN). - Pedro Enrique Iturria-Rivera; Han Zhang 055; Hao Zhou 013; Shahram Mollahasani; Melike Erol-Kantarci (Sensors, 2022)

Learning From Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing. - Hao Zhou 013; Melike Erol-Kantarci; H. Vincent Poor (IEEE Trans. Cogn. Commun. Netw., 2022)

Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning. - Md Arafat Habib; Hao Zhou 013; Pedro Enrique Iturria-Rivera; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Steve Furr; Melike Erol-Kantarci (CCNC, 2023)

Split Learning for Sensing-Aided Single and Multi-Level Beam Selection in Multi-Vendor RAN. - Ycaro Dantas; Pedro Enrique Iturria-Rivera; Hao Zhou 013; Yigit Ozcan; Majid Bavand; Medhat H. M. Elsayed; Raimundas Gaigalas; Melike Erol-Kantarci (GLOBECOM, 2023)

Policy Poisoning Attacks on Transfer Learning Enabled Resource Allocation for Network Slicing. - Shavbo Salehi; Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (GLOBECOM, 2023)

Distributed Attacks over Federated Reinforcement Learning-Enabled Cell Sleep Control. - Han Zhang 055; Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (GLOBECOM (Workshops), 2023)

Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning. - Ycaro Dantas; Pedro Enrique Iturria-Rivera; Hao Zhou 013; Majid Bavand; Medhat H. M. Elsayed; Raimundas Gaigalas; Melike Erol-Kantarci (ICC, 2023)

Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. - Md Arafat Habib; Hao Zhou 013; Pedro Enrique Iturria-Rivera; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (ICC, 2023)

Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep, Power, and RIS Control for Energy-Efficient HetNet. - Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Steve Furr; Melike Erol-Kantarci (CoRR, 2023)

Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning. - Md Arafat Habib; Hao Zhou 013; Pedro Enrique Iturria-Rivera; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (CoRR, 2023)

Knowledge Transfer and Reuse: A Case Study of Ai-Enabled Resource Management in RAN Slicing. - Hao Zhou 013; Melike Erol-Kantarci; H. Vincent Poor (IEEE Wirel. Commun., 2023)

Jamming Attacks and Mitigation in Transfer Learning Enabled 5G RAN Slicing. - Shavbo Salehi; Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (ICC, 2024)

A Survey on Model-Based, Heuristic, and Machine Learning Optimization Approaches in RIS-Aided Wireless Networks. - Hao Zhou 013; Melike Erol-Kantarci; Yuanwei Liu; H. Vincent Poor (IEEE Commun. Surv. Tutorials, 2024)

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. - Hao Zhou 013; Chengming Hu; Ye Yuan 017; Yufei Cui; Yili Jin 001; Can Chen 005; Haolun Wu; Dun Yuan; Li Jiang; Di Wu 044; Xue Liu 004; Charlie Jianzhong Zhang; et al. (CoRR, 2024)

An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models. - Hao Zhou 013; Chengming Hu; Xue Liu 001 (CoRR, 2024)

Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control. - Hao Zhou 013; Chengming Hu; Dun Yuan; Ye Yuan 017; Di Wu 044; Xue Liu 004; Charlie Jianzhong Zhang (CoRR, 2024)

Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning. - Hao Zhou 013; Chengming Hu; Dun Yuan; Ye Yuan 017; Di Wu 044; Xue Liu 004; Zhu Han 001; Charlie Zhang 002 (CoRR, 2024)

Self-Refined Generative Foundation Models for Wireless Traffic Prediction. - Chengming Hu; Hao Zhou 013; Di Wu 044; Xi Chen 009; Jun Yan 007; Xue Liu 001 (CoRR, 2024)

Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing. - Shavbo Salehi; Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (CoRR, 2024)

Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective. - Hao Zhou 013; Chengming Hu; Dun Yuan; Ye Yuan 017; Di Wu 044; Xi Chen 009; Hina Tabassum; Xue Liu 001 (CoRR, 2024)

Smart Home Energy Management: VAE-GAN Synthetic Dataset Generator and Q-Learning. - Mina Razghandi; Hao Zhou 013; Melike Erol-Kantarci; Damla Turgut (IEEE Trans. Smart Grid, 2024)

On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering. - Han Zhang 055; Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (IEEE Trans. Cogn. Commun. Netw., 2024)

Heuristic Algorithms for RIS-Assisted Wireless Networks: Exploring Heuristic-Aided Machine Learning. - Hao Zhou 013; Melike Erol-Kantarci; Yuanwei Liu; H. Vincent Poor (IEEE Wirel. Commun., 2024)

Machine Learning-Enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach. - Md Arafat Habib; Hao Zhou 013; Pedro Enrique Iturria-Rivera; Yigit Ozcan; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Melike Erol-Kantarci (IEEE Commun. Mag., 2025)

CVaR-Based Variational Quantum Optimization for User Association in Handoff-Aware Vehicular Networks. - Zijiang Yan; Hao Zhou 013; Jianhua Pei; Aryan Kaushik; Hina Tabassum; Ping Wang 001 (CoRR, 2025)

Cooperative Hierarchical Deep Reinforcement Learning-Based Joint Sleep and Power Control in RIS-Aided Energy-Efficient RAN. - Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Steve Furr; Melike Erol-Kantarci (IEEE Trans. Cogn. Commun. Netw., 2025)

Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation. - Dun Yuan; Hao Zhou 013; Di Wu 044; Xue Liu 004; Hao Chen 010; Yan Xin; Jianzhong Zhang 002 (CoRR, 2025)

Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-Context Learning. - Hao Zhou 013; Chengming Hu; Dun Yuan; Ye Yuan 017; Di Wu 044; Xue Liu 001; Zhu Han 001; Jianzhong Zhang 002 (IEEE Wirel. Commun. Lett., 2025)

Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks. - Han Zhang 055; Hao Zhou 013; Medhat H. M. Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci (CoRR, 2025)

Hybrid LLM-DDQN-Based Joint Optimization of V2I Communication and Autonomous Driving. - Zijiang Yan; Hao Zhou 013; Hina Tabassum; Xue Liu 001 (IEEE Wirel. Commun. Lett., 2025)

Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain. - Ye Yuan 017; Haolun Wu; Hao Zhou 013; Xue Liu 001; Hao Chen 010; Yan Xin; Jianzhong Zhang 002 (CoRR, 2025)

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. - Hao Zhou 013; Chengming Hu; Ye Yuan 017; Yufei Cui; Yili Jin 001; Can Chen 005; Haolun Wu; Dun Yuan; Li Jiang; Di Wu 044; Xue (Steve) Liu; Jianzhong Zhang 002; et al. (IEEE Commun. Surv. Tutorials, 2025)

From Prompts to Protection: Large Language Model-Enabled In-Context Learning for Smart Public Safety UAV. - Yousef Emami; Hao Zhou 013; Miguel Gutierrez Gaitan; Kai Li 002; Luis Almeida; Zhu Han 001 (CoRR, 2025)

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management. - Yuyan Lin; Hao Zhou 013; Chengming Hu; Xue Liu 004; Hao Chen 010; Yan Xin; Jianzhong Zhang 002 (CoRR, 2025)

Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks. - Zijiang Yan; Hao Zhou 013; Jianhua Pei; Hina Tabassum (CoRR, 2025)

A Hierarchical DRL Approach for Resource Optimization in Multi-RIS Multi-Operator Networks. - Haocheng Zhang; Wei Wang 381; Hao Zhou 013; Zhiping Lu; Ming Li 011 (IEEE Trans. Wirel. Commun., 2025)

FRSICL: LLM-Enabled In-Context Learning Flight Resource Allocation for Fresh Data Collection in UAV-Assisted Wildfire Monitoring. - Yousef Emami; Hao Zhou 013; Miguel Gutierrez Gaitan; Kai Li 002; Luis Almeida (CoRR, 2025)