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ORCIDHao Zhou 0013
Person information
- affiliation: McGill University, School of Computer Science, Montreal, QC, Canada
- affiliation (PhD 2023): University of Ottawa, School of Electrical Engineering and Computer Science, Canada
Other persons with the same name
- Hao Zhou — disambiguation page
- Hao Zhou 0001
![[0000-0002-7545-6745]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7545-6745")
— University of Science and Technology of China, School of Computer Science and Technology, Hefei, China - Hao Zhou 0002 — Wuhan University, School of Electronic Information, China (and 2 more)
- Hao Zhou 0003 — Zhejiang University, Department of Biomedical Engineering, China
- Hao Zhou 0004 — Harbin Institute of Technology, Research Institute of Intelligent Control and Systems, China
- Hao Zhou 0005 — Amazon, Seattle, WA, USA (and 2 more)
- Hao Zhou 0006 — Central South University, Business School, Changsha, China
- Hao Zhou 0007 — Huazhong University of Science and Technology, Institute of Geophysics, Wuhan, China (and 2 more)
- Hao Zhou 0008 — Fudan University, Department of Microelectronics, State Key Laboratory of ASIC and Systems, Shanghai, China
- Hao Zhou 0009 — University of New South Wales, Sydney, Australia
- Hao Zhou 0010 — University of Hong Kong, Pokfulam, Hong Kong
- Hao Zhou 0011 — University of Maryland, Center for Automation Research, College Park, MD, USA
- Hao Zhou 0012 — ByteDance AI Lab, Beijing, China (and 2 more)
- Hao Zhou 0014 — Harbin Engineering University, National Key Laboratory of Science and Technology of Underwater Vehicle, Harbin, China (and 1 more)
- Hao Zhou 0015 — Fudan University, Shanghai, China
- Hao Zhou 0016 — Meituan, Beijing, China (and 2 more)
- Hao Zhou 0017 — Chongqing University, College of Computer Science, China (and 1 more)
- Hao Zhou 0018 — University of Wollongong, School of Mechanical, Materials, Mechatronic and Biomedical Engineering, Faculty of Engineering and Information Sciences, NSW, Australia
- Hao Zhou 0019 — Air Force Engineering University, Air and Missile Defense College, Xi'an, Shaanxi, China
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Journal Articles
- 2025
[j14]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci:
Machine Learning-Enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach. IEEE Commun. Mag. 63(1): 100-107 (2025)- [j13]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:
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. IEEE Commun. Surv. Tutorials 27(3): 1955-2005 (2025) - [j12]Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Cooperative Hierarchical Deep Reinforcement Learning-Based Joint Sleep and Power Control in RIS-Aided Energy-Efficient RAN. IEEE Trans. Cogn. Commun. Netw. 11(1): 489-504 (2025) - [j11]Haocheng Zhang, Wei Wang, Hao Zhou, Zhiping Lu, Ming Li:
A Hierarchical DRL Approach for Resource Optimization in Multi-RIS Multi-Operator Networks. IEEE Trans. Wirel. Commun. 24(6): 4981-4995 (2025) - [j10]Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Zhu Han, Jianzhong Zhang:
Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-Context Learning. IEEE Wirel. Commun. Lett. 14(3): 711-715 (2025) - [j9]Zijiang Yan, Hao Zhou, Hina Tabassum, Xue Liu:
Hybrid LLM-DDQN-Based Joint Optimization of V2I Communication and Autonomous Driving. IEEE Wirel. Commun. Lett. 14(4): 1214-1218 (2025) - 2024
- [j8]Hao Zhou, Melike Erol-Kantarci, Yuanwei Liu, H. Vincent Poor:
A Survey on Model-Based, Heuristic, and Machine Learning Optimization Approaches in RIS-Aided Wireless Networks. IEEE Commun. Surv. Tutorials 26(2): 781-823 (2024) - [j7]Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering. IEEE Trans. Cogn. Commun. Netw. 10(2): 689-705 (2024) - [j6]Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut:
Smart Home Energy Management: VAE-GAN Synthetic Dataset Generator and Q-Learning. IEEE Trans. Smart Grid 15(2): 1562-1573 (2024) - [j5]Hao Zhou, Melike Erol-Kantarci, Yuanwei Liu, H. Vincent Poor:
Heuristic Algorithms for RIS-Assisted Wireless Networks: Exploring Heuristic-Aided Machine Learning. IEEE Wirel. Commun. 31(4): 106-114 (2024) - 2023
- [j4]Hao Zhou, Melike Erol-Kantarci, H. Vincent Poor:
Knowledge Transfer and Reuse: A Case Study of Ai-Enabled Resource Management in RAN Slicing. IEEE Wirel. Commun. 30(5): 160-169 (2023) - 2022
- [j3]Hao Zhou, Atakan Aral, Ivona Brandic, Melike Erol-Kantarci:
Multiagent Bayesian Deep Reinforcement Learning for Microgrid Energy Management Under Communication Failures. IEEE Internet Things J. 9(14): 11685-11698 (2022) - [j2]Pedro Enrique Iturria-Rivera, Han Zhang, Hao Zhou, Shahram Mollahasani, Melike Erol-Kantarci:
Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN). Sensors 22(14): 5375 (2022) - [j1]Hao Zhou, Melike Erol-Kantarci, H. Vincent Poor:
Learning From Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing. IEEE Trans. Cogn. Commun. Netw. 8(4): 1925-1941 (2022)
Conference and Workshop Papers
- 2024
- [c19]Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Jamming Attacks and Mitigation in Transfer Learning Enabled 5G RAN Slicing. ICC 2024: 4269-4274 - 2023
- [c18]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning. CCNC 2023: 164-169 - [c17]Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Distributed Attacks over Federated Reinforcement Learning-Enabled Cell Sleep Control. GLOBECOM (Workshops) 2023: 485-490 - [c16]Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Policy Poisoning Attacks on Transfer Learning Enabled Resource Allocation for Network Slicing. GLOBECOM 2023: 6364-6370 - [c15]Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Yigit Ozcan, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci:
Split Learning for Sensing-Aided Single and Multi-Level Beam Selection in Multi-Vendor RAN. GLOBECOM 2023: 6652-6657 - [c14]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. ICC 2023: 100-105 - [c13]Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci:
Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning. ICC 2023: 5285-5290 - 2022
- [c12]Hao Zhou, Melike Erol-Kantarci:
Knowledge Transfer based Radio and Computation Resource Allocation for 5G RAN Slicing. CCNC 2022: 617-623 - [c11]Han Zhang, Hao Zhou, Melike Erol-Kantarci:
Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing. GLOBECOM 2022: 958-963 - [c10]Hao Zhou, Long Kong, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN. GLOBECOM 2022: 3326-3331 - [c9]Yujie Yao, Hao Zhou, Melike Erol-Kantarci:
Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G. GLOBECOM 2022: 5019-5024 - [c8]Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut:
Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home. ICC 2022: 4781-4786 - [c7]Han Zhang, Hao Zhou, Melike Erol-Kantarci:
Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN). ICC 2022: 4938-4943 - [c6]Yujie Yao, Hao Zhou, Melike Erol-Kantarci:
Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mm Wave Networks. ISCC 2022: 1-6 - 2021
- [c5]Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut:
Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning. GLOBECOM 2021: 1-6 - [c4]Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut:
Short-Term Load Forecasting for Smart Home Appliances with Sequence to Sequence Learning. ICC 2021: 1-6 - [c3]Hao Zhou, Medhat H. M. Elsayed, Melike Erol-Kantarci:
RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning. PIMRC 2021: 1179-1184 - 2020
- [c2]Hao Zhou, Melike Erol-Kantarci:
Correlated Deep Q-learning based Microgrid Energy Management. CAMAD 2020: 1-6 - [c1]Hao Zhou, Melike Erol-Kantarci:
Decentralized Microgrid Energy Management: A Multi-agent Correlated Q-learning Approach. SmartGridComm 2020: 1-7
Informal and Other Publications
- 2025
- [i40]Zijiang Yan, Hao Zhou, Jianhua Pei, Aryan Kaushik, Hina Tabassum, Ping Wang:
CVaR-Based Variational Quantum Optimization for User Association in Handoff-Aware Vehicular Networks. CoRR abs/2501.08418 (2025) - [i39]Dun Yuan, Hao Zhou, Di Wu, Xue Liu, Hao Chen, Yan Xin, Jianzhong Zhang:
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation. CoRR abs/2503.24245 (2025) - [i38]Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks. CoRR abs/2504.18519 (2025) - [i37]Ye Yuan, Haolun Wu, Hao Zhou, Xue Liu, Hao Chen, Yan Xin, Jianzhong Zhang:
Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain. CoRR abs/2505.14906 (2025) - [i36]Yousef Emami, Hao Zhou, Miguel Gutierrez Gaitan, Kai Li, Luis Almeida, Zhu Han:
From Prompts to Protection: Large Language Model-Enabled In-Context Learning for Smart Public Safety UAV. CoRR abs/2506.02649 (2025) - [i35]Yuyan Lin, Hao Zhou, Chengming Hu, Xue Liu, Hao Chen, Yan Xin, Jianzhong Zhang:
Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management. CoRR abs/2506.06519 (2025) - [i34]Zijiang Yan, Hao Zhou, Jianhua Pei, Hina Tabassum:
Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks. CoRR abs/2506.06532 (2025) - [i33]Yousef Emami, Hao Zhou, Miguel Gutierrez Gaitan, Kai Li, Luis Almeida:
FRSICL: LLM-Enabled In-Context Learning Flight Resource Allocation for Fresh Data Collection in UAV-Assisted Wildfire Monitoring. CoRR abs/2507.10134 (2025) - 2024
- [i32]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:
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities. CoRR abs/2405.10825 (2024) - [i31]Hao Zhou, Chengming Hu, Xue Liu:
An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models. CoRR abs/2405.17439 (2024) - [i30]Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Charlie Jianzhong Zhang:
Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control. CoRR abs/2408.00214 (2024) - [i29]Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Zhu Han, Charlie Zhang:
Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning. CoRR abs/2408.02549 (2024) - [i28]Chengming Hu, Hao Zhou, Di Wu, Xi Chen, Jun Yan, Xue Liu:
Self-Refined Generative Foundation Models for Wireless Traffic Prediction. CoRR abs/2408.10390 (2024) - [i27]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci:
Machine Learning-enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach. CoRR abs/2409.20391 (2024) - [i26]Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing. CoRR abs/2410.05153 (2024) - [i25]Zijiang Yan, Hao Zhou, Hina Tabassum, Xue Liu:
Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving. CoRR abs/2410.08854 (2024) - [i24]Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xi Chen, Hina Tabassum, Xue Liu:
Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective. CoRR abs/2411.04136 (2024) - 2023
- [i23]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning. CoRR abs/2301.05316 (2023) - [i22]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. CoRR abs/2301.07818 (2023) - [i21]Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci:
Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning. CoRR abs/2302.00156 (2023) - [i20]Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering. CoRR abs/2304.11282 (2023) - [i19]Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep, Power, and RIS Control for Energy-Efficient HetNet. CoRR abs/2304.13226 (2023) - [i18]Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut:
Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning. CoRR abs/2305.08885 (2023) - [i17]Hao Zhou, Melike Erol-Kantarci, Yuanwei Liu, H. Vincent Poor:
Heuristic Algorithms for RIS-assisted Wireless Networks: Exploring Heuristic-aided Machine Learning. CoRR abs/2307.01205 (2023) - [i16]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning. CoRR abs/2307.02754 (2023) - [i15]Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Distributed Attacks over Federated Reinforcement Learning-enabled Cell Sleep Control. CoRR abs/2311.15894 (2023) - 2022
- [i14]Han Zhang, Hao Zhou, Melike Erol-Kantarci:
Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN). CoRR abs/2201.07385 (2022) - [i13]Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut:
Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home. CoRR abs/2201.07387 (2022) - [i12]Yujie Yao, Hao Zhou, Melike Erol-Kantarci:
Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mmWave Networks. CoRR abs/2204.10984 (2022) - [i11]Han Zhang, Hao Zhou, Melike Erol-Kantarci:
Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing. CoRR abs/2208.01736 (2022) - [i10]Yujie Yao, Hao Zhou, Melike Erol-Kantarci:
Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G. CoRR abs/2208.01880 (2022) - [i9]Hao Zhou, Melike Erol-Kantarci, H. Vincent Poor:
Knowledge Transfer and Reuse: A Case Study of AI-enabled Resource Management in RAN Slicing. CoRR abs/2212.09172 (2022) - 2021
- [i8]Hao Zhou, Melike Erol-Kantarci:
Correlated Deep Q-learning based Microgrid Energy Management. CoRR abs/2103.04152 (2021) - [i7]Hao Zhou, Melike Erol-Kantarci:
Decentralized Microgrid Energy Management: A Multi-agent Correlated Q-learning Approach. CoRR abs/2103.04154 (2021) - [i6]Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut:
Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning. CoRR abs/2106.15348 (2021) - [i5]Hao Zhou, Medhat H. M. Elsayed, Melike Erol-Kantarci:
RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning. CoRR abs/2107.01018 (2021) - [i4]Hao Zhou, Melike Erol-Kantarci, H. Vincent Poor:
Learning from Peers: Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G Network Slicing. CoRR abs/2109.07999 (2021) - [i3]Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut:
Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning. CoRR abs/2109.12440 (2021) - [i2]Hao Zhou, Melike Erol-Kantarci:
Knowledge Transfer based Radio and Computation Resource Allocation for 5G RAN Slicing. CoRR abs/2110.12245 (2021) - [i1]Hao Zhou, Atakan Aral, Ivona Brandic, Melike Erol-Kantarci:
Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures. CoRR abs/2111.11868 (2021)
Coauthor Index
[j14] [j12] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i38] [i27] [i26] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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