卢晓珍，2021年12月毕业于厦门大学，导师为肖亮教授。主要研究方向为无线通信安全、强化学习、联邦学习和区块链等，主持国家自然科学基金青年项目一项和江苏省自然科学青年基金项目一项，参与国家自然科学基金联合基金重点项目一项（课题负责人）。相关成果已发表/录用论文20余篇，包括IEEE Trans. Inf. Forensics Security等CCF A类期刊以及《中国科学：信息科学》等国内刊物论文。2篇入选ESI全球前1%高被引论文，6篇IEEE期刊热点论文，2篇论文入选IEEE COMSOC最佳读物（方向分别仅3篇和7篇）。2018年至今，谷歌学术引用1804次，h-index指数14。曾获教育部自然科学奖二等奖（排名第四）、ACM SIGSAC China新星奖、福建省优秀博士学位论文奖、第十四届中国物联网学术会议优秀论文奖、第十五届福建省自然科学优秀学术论文奖和第二届ML4CS最佳学生论文奖等。担任ProvSec2022组织委员会联合主席，IEEE ICCT2023 Symposium Co-Chairs，IEEE Trans. Inf. Forensics Security和IEEE Trans. Dependable Secure Comput.（CCF A类）等十余个国际期刊/会议审稿人，BigCom2022/2023程序委员会委员以及江苏省网络安全学会数据安全及人工智能安全专委会委员。

招收网络空间安全和电子信息专业硕士研究生以及校内本科生，欢迎对无线通信安全、强化学习、联邦学习和区块链等方向感兴趣的同学邮件联系咨询，邮箱：luxiaozhen@nuaa.edu.cn。

科研项目：

• [1] "基于安全强化学习的车联网安全策略优化研究", 江苏省自然科学青年基金项目 (No. BK20220880), 2022.07.01-2025.06.30, 主持

• [2] "面向车联网安全应用的强化学习方法研究", 国家自然科学基金青年项目 (No. 62202222), 2023.01.01-2025.12.31, 主持

部分已发表论文：

-期刊论文：

• [1] Liang Xiao, Xiaozhen Lu, Dongjin Xu, Yuliang Tang, Lei Wang, and Weihua Zhuang, "UAV relay in VANETs against smart jamming with reinforcement learning", IEEE Transactions on Vehicular Technology, vol. 67, no. 5, pp. 4087-4097, May 2018. [ESI高被引论文，期刊热点论文]

• [2] Liang Xiao, Xiaoyue Wan, Xiaozhen Lu,Yanyong Zhang, and Di Wu, "IoT security techniques based on machine learning: How do IoT devices use AI to enhance security?", IEEE Signal Processing Magazine, vol. 35, no. 5, pp. 41-49, Sept. 2018. [ESI高被引论文，期刊热点论文]

• [3] Xiaozhen Lu, Xingyu Xiao, Liang Xiao, Canhuang Dai, Mugen Peng, and H Vincent Poor, "Reinforcement learning-based microgrid energy trading with a reduced power plant schedule", IEEE Internet of Things Journal, vol. 6, no. 6, pp. 10728-10737, Dec. 2019. [中科院1区]

• [4] Xiaozhen Lu, Liang Xiao, Tangwei Xu, Yifeng Zhao, Yuliang Tang, and Weihua Zhuang, "Reinforcement learning based PHY authentication for VANETs", IEEE Transactions on Vehicular Technology, vol. 69, no. 3, pp. 3068-30797, Mar. 2020. [中科院2区]

• [5] Xiaozhen Lu, Liang Xiao, Canhuang Dai, and Huaiyu Dai, "UAV-aided cellular communications with deep reinforcement learning against jamming", IEEE Wireless Communications, vol. 27, no. 4, pp. 48-53, Aug. 2020. [中科院1区，期刊热点论文]

• [6] Liang Xiao, Xiaozhen Lu, Tangwei Xu, Xiaoyue Wan, Wen Ji, and Yanyong Zhang, "Reinforcement learning-based mobile offloading for edge computing against jamming and interference", IEEE Transactions on Communications, vol. 68, no. 10, pp. 6114-6126, Oct. 2020. [CCF B]

• [7] Liang Xiao, Xiaozhen Lu, Tangwei Xu, Weihua Zhuang, and Huaiyu Dai, "Reinforcement learning based physical-layer authentication for controller area networks", IEEE Transactions on Information Forensics and Security, vol. 16, pp. 2535-2547, Feb. 2021. [CCF A, 期刊热点论文]
  

• [8] Yilin Xiao, Liang Xiao, Xiaozhen Lu, Hailu Zhang, Shui Yu, and H Vincent Poor, "Deep-reinforcement-learning-based user profile perturbation for privacy-aware recommendation", IEEE Internet of Things Journal, vol. 8, no. 6, pp. 4560-4568, Mar. 2021. [中科院1区]
  

• [9] Xiaozhen Lu, Jingfang Jie, Zihan Lin, Liang Xiao, Jin Li, and Yanyong Zhang, "Reinforcement learning based energy efficient robot relay for unmanned aerial vehicles against smart jamming", SCIENCE CHINA Information Sciences, vol. 65, no. 112304, pp. 1-13, Jan. 2022. [CCF A]

• [10] Xiaozhen Lu, Liang Xiao, Guohang Niu, Xiangyang Ji, and Qian Wang, "Safe exploration in wireless security: A safe reinforcement learning algorithm with hierarchical structure", IEEE Transactions on Information Forensics and Security, vol. 17, pp. 732-743, Feb. 2022. [CCF A, 期刊热点论文]

• [11] Xiaozhen Lu, Liang Xiao, Pengmin Li, Xiangyang Ji, Chenren Xu, Shui Yu, and Weihua Zhuang, "Reinforcement learning based physical cross-layer security and privacy in 6G", IEEE Communications Surveys & Tutorials, vol. 25, no. 1, pp. 425-466, Firstquarter 2023. [中科院1区，IF: 33.840]

-会议论文（*通讯作者）：

• [1] Xiaozhen Lu, Dongjin Xu, Liang Xiao, Lei Wang, Weihua Zhuang, "Anti-jamming communication game for UAV-aided VANETs", in Proc. IEEE Global Communications Conference (GLOBECOM), Singapore, Dec. 2017.

• [2] Xiaozhen Lu, Xiaoyue Wan, Liang Xiao, Yuliang Tang, and Weihua Zhuang, "Learning-based rogue edge detection in VANETs with ambient radio signals", in Proc. IEEE International Conference on Communications (ICC), Kansas City, MO, May 2018.

• [3] Tangwei Xu, Xiaozhen Lu, Liang Xiao, Yuliang Tang, and Huaiyu Dai, "Voltage based authentication for controller area networks with reinforcement learning", in Proc. IEEE International Conference on Communications (ICC), Shanghai, China, May 2019.

• [4] Kexin Liu, Xiaozhen Lu, Liang Xiao, and Li Xu, "Learning based energy efficient radar power control against deceptive jamming", in Proc. IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, China, Dec. 2020.

• [5] Siyuan Hong, Xiaozhen Lu, Liang Xiao, Guohang Niu, and Helin Yang, "Reinforcement learning based sensor encryption and power control for low-latency WBANs", in Proc. International Conference on Wireless Algorithms, Systems, and Applications (WASA), Nanjing, China, Jun. 2021.

• [6] Xin Guo, Ruyun Zhang, Lu Zhou, and Xiaozhen Lu*, "Precise code clone detection with architecture of abstract syntax trees", in Proc. International Conference on Wireless Algorithms, Systems, and Applications (WASA), Dalian, China, Oct. 2022.

• [7] Zhibo Liu, Xiaozhen Lu*, Yuhan Chen, Yilin Xiao, Liang Xiao, and Yanling Bu, "Deep reinforcement learning for network security applications with a safety guide", in Proc. IEEE/CIC International Conference on Communications in China (ICCC), Dalian, China, Aug. 2023.

• [8] Wenjie Zhou, Piji Li, Zhaoyang Han, Xiaozhen Lu, Juan Li, Zhaochun Ren, and Zhe Liu, "Privacy-preserving federated learning via disentanglement", in Proc. Conference on Information and Knowledge Management (CIKM), Birmingham, UK, Oct. 2023. [CCF B]

• [9] Yuhan Chen, Zhibo Liu, Xiaozhen Lu*, and Liang Xiao, "Risk-aware reinforcement learning based federated learning framework for IoV", in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Dubai, UAE, Apr. 2024.

所有已发表学术论文详见：https://scholar.google.no/citations?hl=en&user=R7wsHNgAAAAJ

获奖情况：

• [1] IEEE International Conference on Communications (ICC) 学生会议资助奖，2018.5

• [2] IEEE International Conference on Communications N2Women and WICE Workshop会议资助奖，2018.5

• [3] 第二届International Conference on Machine Learning for Cyber Security (ML4CS) 最佳学生论文奖，2019.9

• [4] 第十四届中国物联网学术会议优秀论文奖，2020.9

• [5] 第十五届福建省自然科学优秀学术论文奖，2022.12

• [6] 2022年度教育部高等学校科学研究优秀成果奖（科学技术）--自然科学奖二等奖, 2023.6.6（第四完成人）

• [7] 2022年度ACM SIGSAC China新星奖，2023.7.30

• [8] 2022年福建省优秀博士学位论文奖，2023.12.15

学术兼职：

• [1] ProvSec2022组织委员会联合主席

• [2] BigCom2022/2023程序委员会委员

• [3] 江苏省网络安全学会数据安全专委会委员

• [4] Communication and Information Security Symposium Co-Chairs, IEEE ICCT2023

• [5] IEEE ICCT2023程序委员会委员

• [6] 《数据采集与处理》期刊首届青年编委会委员

• [7] Guest Editor, Metaverse, SI: Information Infrastructure for the Metaverse, 2023

在读研究生：

• 2023级：刘智博、刘俐欣、杨荣健、刘子涵（专硕）

• 2022级：陈煜涵

学生活动：

• [1] ICCC 2023, 中国大连, 2023.8.10-2023.8.12

     

• [2] Inscrypt 2023，中国杭州，2023.12.9-2023.12.10

     

• 2013.9 -- 2017.6

  南京邮电大学       通信工程       南京邮电大学       工学学士学位

• 2017.9 -- 2021.12

  厦门大学       通信与信息系统       厦门大学       工学博士学位