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个人信息:吕宏武,1983年生,男,工学博士,教授,博士研究生导师。2006年本科毕业于哈尔滨工程大学信息与计算科学专业,获理学学士学位;2011年博士毕业于哈尔滨工程大学计算机应用技术专业,获工学博士学位。主要研究方向为物联网智能感知与高精度定位、通感一体化网络及安全,具体包括物联网智能感知、多模态对抗攻击、6G高精度定位、形式化建模与性能评估。中国计算机学会分布式计算与系统专委会执行委员、黑龙江省计算机...
吕宏武
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Paper Publications
lvhongwu. An Attribute-Based Availability Model for Large Scale IaaS Clouds with CARMA,IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,31(3):733-748
lvhongwu. A DL-Based High-Precision Positioning Method in Challenging Urban Scenarios for B5G CCUAVs,IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS,41(6):1670-1687
吕宏武. 一种基于Bio-PEPA的分布式虚拟化系统脆弱性扩散模型,计算机学报,39(02):391-404
lvhognwu. Localization-Oriented Digital Twinning in 6G: A New Indoor-Positioning Paradigm and Proof-of-Concept,IEEE Transactions on Wireless Communications,23(8):10473-10486
lvhongwu. Your Locations May Be Lies: Selective-PRS-Spoofing Attacks and Defence on 5G NR Positioning Systems,Proceedings - IEEE INFOCOM,2023-May()
lvhongwu. Surgical Strike on 5G Positioning: Selective-PRS-Spoofing Attacks and Its Defence,IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS,42(10):2922-2937
lvhongwu. CHAT: Accurate Network Latency Measurement for 5G E2E Networks,IEEE/ACM Transactions on Networking,31.0(6.0):2854-2869
lvhongwu. Toward 5G NR High-Precision Indoor Positioning via Channel Frequency Response: A New Paradigm and Dataset Generation Method,IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS,40(7):2233-2247
lvhongwu. Application of a Dynamic Line Graph Neural Network for Intrusion Detection With Semisupervised Learning,IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,2023,:699-714
Evaluating the Effects of Non-Isomorphic Rotation on 3D Manipulation Tasks in Mixed Reality Simulation,IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,2022,2:1261-1273
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