百晓学者学者目录

周浩

教授、讲师,武汉大学

精选作品

期刊论文

2025

基于生物特征识别的隐私保护可验证联邦学习

周浩,戴华,杨庚,黄喻先,王周生

《计算机学报》

2024

机器学习辅助的车联网紧急消息信任评估方案

周浩,邵诗韵,马勇,刘志全,官全龙,王晓明

《西安电子科技大学学报》

2024

基于区块链的物联网终端隐私信息溯源方法

周浩,沈峰

《长春师范大学学报》

2023

容迟网络中基于节点社会属性的激励机制

常亚楠,周俊杰,崔建群,杨任汀,周浩

《计算机应用》

2023

车联网中区块链辅助的紧急消息信任评估方案

周浩,马建峰,刘志全,王立波,吴永东,范文杰

《西安电子科技大学学报》

2023

Task assignment strategy in LEO-muti-access edge computing based on matching game

Haoyu Wang, Ji-yu An, Hao Zhou

Computing

2022

Packet-Level Open-World App Fingerprinting on Wireless Traffic

Jianfeng Li, Shuohan Wu, Hao Zhou, Xia-Pu Luo, Ting Wang, Yangyang Liu, Xiaobo Ma

Network and Distributed System Security Symposium

2021

计算机网络信息安全维护思路的建构和应用

周浩

《信息记录材料》

2020

移动边缘计算框架下的缓存与任务卸载策略研究

周浩

《合肥工业大学》

2020

边缘计算系统的任务调度策略

周浩,万旺根

《电子测量技术》

2020

基于深度强化学习的SDN智能路由优化研究

周浩

《湖北工业大学》

2019

二次栅格扫描与三角形质心迭代的定位算法

宋海声,周浩,朱长驹,吴佳欣

《计算机工程与科学》

2019

无线传感器网络栅格扫描定位算法的研究

周浩

《西北师范大学》

2019

基于移动目标的动态安全防护系统研究与应用

程杰,胡威,庞进,卢晓梅,李文健,周浩,陈云领

《电力信息与通信技术》

2018

基于海量真实口令的挖掘分析及口令生成

刘功申,王靖康,罗宇韬,周浩,王博,王帅

《通信学报》

2016

基于网络安全维护的计算机网络安全技术应用分析

周浩

《网络安全技术与应用》

2015

基于朴素贝叶斯分类器的网络安全态势评估方法

文志诚,曹春丽,周浩

《计算机应用》

2015

Android移动网络终端的IPv6接入系统设计与实现

周浩,赵钦,马严

《软件》

2014

改进的ZigBee路由算法在货运机车轴温探测系统的应用

孙晓,刘永彬,武宇龙,卢祥江,周浩

《湖南工业大学学报》

2014

模拟人群信任和决策机制的协作频谱感知方法

王小毛,黄传河,吕怡龙,王斌,范茜莹,周浩

《通信学报》

2013

面向工业人机界面的信息安全策略设计及实现

李科,黄双,周浩,秦元庆,周纯杰

《计算机工程与设计》

2013

嵌入式PLC的信息安全策略设计与实现

周浩,黄双,黄雄峰,李科,周纯杰

《计算机科学》

2006

WDM网络中基于多核心的组播路由算法

黄传河,周浩,肖峰,胡亮,杨晶

《光学技术》

2005

基于CDMA-over-TDMA的多路带宽预留算法

周浩,黄传河,李飞,余雄伟,张媛媛,罗瑛

《计算机工程》

预印本

2026

Lip-Siri: Contactless Open-Sentence Silent Speech with Wi-Fi Backscatter

Ye Tian, Haohua Du, Chao Gu, Junyang Zhang, Shanyue Wang, Hao Zhou, Jiahui Hou, Xiang-Yang Li

arXiv preprint

2026

Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach

Zijiang Yan, Hao Zhou, Wael Jaafar, Jianhua Pei, Ping Wang, Halim Yanikomeroglu, Hina Tabassum

arXiv preprint

2026

Revisiting Decentralized Online Convex Optimization with Compressed Communication

Hao Zhou, Xiaoyu Wang, Chang Yao, Mingli Song, Yuanyu Wan

arXiv preprint

2026

Large Language Model-Assisted UAV Operations and Communications: A Multifaceted Survey and Tutorial

Yousef Emami, Hao Zhou, Radha Reddy, Atefeh Hajijamali Arani, Biliang Wang, Kai Li, Luis Almeida, Zhu Han

arXiv preprint

2026

Large Language Models (LLMs) for Telecom Root Cause Analysis (RCA): A Structured Reasoning Framework for Evidence-Grounded Diagnosis

Hao Zhou, Mandar Kulkarni, Hao Chen, Yan Xin, Charlie, Zhang

arXiv preprint

2025

Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks

Zijiang Yan, Hao Zhou, Jianhua Pei, Hina Tabassum

arXiv preprint

2025

Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks

Han Zhang, Hao Zhou, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci

arXiv preprint

2025

Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation

Dun Yuan, Hao Zhou, Di Wu, Xue Liu, Hao Chen, Yan Xin, Jianzhong, Zhang

arXiv preprint

2025

Delay-Doppler Domain Channel Measurements and Modeling in High-Speed Railways

Hao Zhou, Yiyan Ma, Dan Fei, Weirong Liu, Zhengyu Zhang, Mi Yang, Guoyu Ma, Yunlong Lu, Ruisi He, Guoyu Wang, Cheng Li, Zhaohui Song, Bo Ai

arXiv preprint

2025

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management

Yuyan Lin, Hao Zhou, Chengming Hu, Xue Liu, Hao Chen, Yan Xin, Jianzhong, Zhang

arXiv preprint

2025

Prompting Wireless Networks: Reinforced In-Context Learning for Power Control

Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Jianzhong, Zhang

arXiv preprint

2025

Understanding 6G through Language Models: A Case Study on LLM-aided Structured Entity Extraction in Telecom Domain

Ye Yuan, Haolun Wu, Hao Zhou, Xue Liu, Hao Chen, Yan Xin, Jianzhong, Zhang

arXiv preprint

2024

Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing

Shavbo Salehi, Hao Zhou, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci

arXiv preprint

2024

A Hierarchical DRL Approach for Resource Optimization in Multi-RIS Multi-Operator Networks

Haocheng Zhang, Wei Wang, Hao Zhou, Zhiping Lu, Ming Li

arXiv preprint

2024

Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving

Zijiang Yan, Hao Zhou, Hina Tabassum, Xue Liu

arXiv preprint

2024

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities

Hao Zhou, Chengming Hu, Ye Yuan, Yufei Cui, Yili Jin, Can Chen, Haolun Wu, Dun Yuan, Li Jiang, Di Wu, Xue Liu, Charlie Zhang, Xianbin Wang, Jiangchuan Liu

arXiv preprint

2024

Self-Refined Generative Foundation Models for Wireless Traffic Prediction

Chengming Hu, Hao Zhou, Di Wu, Xi Chen, Jun Yan, Xue Liu

arXiv preprint

2024

Generative AI as a Service in 6G Edge-Cloud: Generation Task Offloading by In-context Learning

Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Zhu Han, Charlie Zhang

arXiv preprint

2024

An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models

Hao Zhou, Chengming Hu, Xue Liu

arXiv preprint

2024

Large Language Models for Wireless Networks: An Overview from the Prompt Engineering Perspective

Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xi Chen, Hina Tabassum, Xue Liu

arXiv preprint

2024

Large Language Model (LLM)-enabled In-context Learning for Wireless Network Optimization: A Case Study of Power Control

Hao Zhou, Chengming Hu, Dun Yuan, Ye Yuan, Di Wu, Xue Liu, Charlie Zhang

arXiv preprint

2024

Machine Learning-enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach

Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci

arXiv preprint

2023

Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning

Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci

arXiv preprint

2023

Secure Ranging with IEEE 802.15.4z HRP UWB

Xiliang Luo, Cem Kalkanli, Hao Zhou, Pengcheng Zhan, Moche Cohen

arXiv preprint

2023

Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep and Power Control in RIS-aided Energy-Efficient RAN

Hao Zhou, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci

arXiv preprint

2023

A Survey on Model-based, Heuristic, and Machine Learning Optimization Approaches in RIS-aided Wireless Networks

Hao Zhou, Melike Erol-Kantarci, Yuanwei Liu, H. Vincent Poor

arXiv preprint

2023

Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN

Hao Zhou, Long Kong, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci

arXiv preprint

2023

Heuristic Algorithms for RIS-assisted Wireless Networks: Exploring Heuristic-aided Machine Learning

Hao Zhou, Melike Erol-Kantarci, Yuanwei Liu, H. Vincent Poor

arXiv preprint

2023

On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering

Han Zhang, Hao Zhou, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci

arXiv preprint

2023

Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning

Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Majid Bavand, Medhat Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci

arXiv preprint

2023

Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments

Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci

arXiv preprint

2023

Distributed Attacks over Federated Reinforcement Learning-enabled Cell Sleep Control

Han Zhang, Hao Zhou, Medhat Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci

arXiv preprint

2022

Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN)

Han Zhang, Hao Zhou, Melike Erol-Kantarci

arXiv preprint

2022

Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G

Yujie Yao, Hao Zhou, Melike Erol-Kantarci

arXiv preprint

2022

Knowledge Transfer and Reuse: A Case Study of AI-enabled Resource Management in RAN Slicing

Hao Zhou, Melike Erol-Kantarci, Vincent Poor

arXiv preprint

2022

Deep Reinforcement Learning-based Radio Resource Allocation and Beam Management under Location Uncertainty in 5G mmWave Networks

Yujie Yao, Hao Zhou, Melike Erol-Kantarci

arXiv preprint

2022

Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing

Han Zhang, Hao Zhou, Melike Erol-Kantarci

arXiv preprint

2021

Knowledge Transfer based Radio and Computation Resource Allocation for 5G RAN Slicing

Hao Zhou, Melike Erol-Kantarci

arXiv preprint

2021

Learning from Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing

Hao Zhou, Melike Erol-Kantarci, Vincent Poor

arXiv preprint

2021

RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning

Hao Zhou, Medhat Elsayed, Melike Erol-Kantarci

arXiv preprint

2019

Beam Acquisition and Training in Millimeter Wave Networks with Narrowband Pilots

Hao Zhou, Dongning Guo, Michael L. Honig

arXiv preprint

2015

Content-Centric Multicast Beamforming in Cache-Enabled Cloud Radio Access Networks

Hao Zhou, Meixia Tao, Erkai Chen, Wei Yu

arXiv preprint

2015

Content-Centric Sparse Multicast Beamforming for Cache-Enabled Cloud RAN

Meixia Tao, Erkai Chen, Hao Zhou, Wei Yu

arXiv preprint

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