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qianyongfeng

Associate professor

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Degree:Doctoral Degree in Engineering
Education Level:Faculty of Higher Institutions
Alma Mater:Huazhong University of Science and Technology
Status:Employed
Professional Title:Associate professor
School/Department:School of Computer Science

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钱永峰,副教授,硕士生导师,“地大学者”青年优秀人才。2018年博士毕业于华中科技大学计算机学院。主要研究方向为:人工智能安全、隐私保护、边缘计算等。近年来在国际权威期刊和会议上发表学术论文20余篇(含ESI高被引论文2篇),主持国家自然科学基金青年基金项目1项、智能地学信息处理湖北省重点实验室开放基金1项、中央高校基本科研业务费专项基金1项等,曾作为主要成员参与国家重点研发计划子课题、国家自然科学基金面上项目等。CCF会员,IEEE Member,多次担任国际期刊 IEEE Transactions on information forensics & security, IEEE Internet of things, IEEE Wireless Communications, Future Generation Computer Systems 等期刊的审稿人。欢迎对信息安全,特别是人工智能安全方向感兴趣的同学与我联系,yfqian##cug.edu.cn (将##替换成@)代表性论文:[1]Qian Y, Ma Y, Chen J, et al. Optimal location privacy preserving and service quality guaranteed task allocation in vehicle-based crowdsensing networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(7): 4367-4375. (CCF B)[2]Qian Y, Zuo Z, Hao Y. Online vehicle selection for task replication via bandit learning[C]//2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2021: 1627-1632. (CCF C)[3]Qian Y, Zhang Y, Fortino G, et al. Security-enhanced content caching for the 5G-based cognitive Internet of vehicles[J]. IEEE Network, 2021, 35(2): 40-45. [4]Qian Y, Jiang Y, Hu L, et al. Blockchain-based privacy-aware content caching in cognitive internet of vehicles[J]. IEEE Network, 2020, 34(2): 46-51.[5]Qian Y, Jiang Y, Hossain M S, et al. Privacy-preserving based task allocation with mobile edge clouds[J]. Information Sciences, 2020, 507: 288-297. (CCF B)[6]Qian Y, Hu L, Chen J, et al. Privacy-aware service placement for mobile edge computing via federated learning[J]. Information Sciences, 2019, 505: 562-570.(CCF B)[7]Hao Y, Hu L, Qian Y, et al. Profit maximization for video caching and processing in edge cloud[J]. IEEE Journal on Selected Areas in Communications, 2019, 37(7): 1632-1641.(CCF A)[8]Qian Y, Zhang Y, Ma X, et al. EARS: Emotion-aware recommender system based on hybrid information fusion[J]. Information Fusion, 2019, 46: 141-146.(ESI高被引论文)

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Research Group
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