周琳，男，2014年本科毕业于上海交通大学信息工程系，2018年博士毕业于新加坡国立大学电子与计算机工程系，2019-2020在美国密歇根大学安娜堡分校电子工程与计算机科学系从事博士后研究，2020年8月至2025年10月于北京航空航天大学网络空间安全学院任副教授、博士生导师，2025年11月至今任南方科技大学自动化与智能制造学院副教授。

周博士入选国家级青年人才计划（工信部启明）、北京航空航天大学卓越百人计划、北京航空航天大学青年拔尖人才计划。主要研究方向包括信息论、统计异常检测、无线通信、网络化控制等，长期聚焦于低时延、强安全、高可靠通信息系统的理论研究。以第一/通讯作者身份发表CCF A类期刊论文20篇，其中信息论领域顶级期刊IEEE Transactions on Information Theory 17篇；以第一作者身份发表信息论领域英文专著2部、英文教材1部，参编国家十四五规划教材1部。主持国家级青年人才项目、国家自然科学基金青年项目、北京市自然科学基金面上项目、北京实验室等项目，获2022年中国指控学会科技进步一等奖（3/15）与中国电子学会信息论分会青年新星。担任IEEE TCOM编委，IEEE ISIT/SSP/VTC/WCSP/ICCC等国际国内会议TPC member，长期担任IEEE TIT、JSAC、TCOM、TSP等国际期刊审稿人。研究成果得到了国内外学者的引用与正面评价，包括香农奖得主Sergio Verdú教授、Shlomo Shami教授，美国国家科学院院士Vincent Poor教授、中国科学院院士尤肖虎教授、英国皇家工程院院士Lajos Hanzo教授、德国科学院院士Holger Boche教授，IEEE TIT主编Venugopal V. Veeravalli教授，IEEE JSAIT主编Tara Javidi教授，麻省理工Yury Polyanskiy教授、加州理工Victoria Kostina教授、剑桥大学Albert Fabregas教授。

教育经历

2014.8-2018.9，新加坡国立大学，博士

2010.9-2014.7，上海交通大学，学士

工作经历

2025.11至今，南方科技大学自动化与智能制造学院副教授

2020.8-2025.11，北京航空航天大学网络空间安全学院副教授

2019.1-2020.8，密歇根大学安娜堡分校博士后

2018.9-2019.1，新加坡国立大学博士后

研究领域

信息论，统计学习，通信控制一体化，面向信息系统的人工智能

发表文章

以第一/通讯作者身份发表CCF A类期刊论文20篇，其中信息论领域顶级期刊IEEE Transactions on Information Theory 17篇；以第一作者身份发表信息论领域英文专著2部、英文教材1部，参编国家十四五规划教材1部。

-期刊论文：

[1] Y. Zhang, L. Zhou* and Q. Zhang, “Capacity Region of Covert Secret Key Generation over Binary-Input Multiple Access Channels”, to appear in IEEE Transactions on Information Theory, 2026.

[2] J. Diao and L. Zhou*, "Sequential Outlier Hypothesis Testing Under Universality Constraints," in IEEE Transactions on Information Theory, vol. 71, no. 9, pp. 6602-6625,. 2025.

[3] Y. Wang, L. Bai, Z. Wu and L. Zhou*, "Achievable Second-Order Asymptotics for MAC and RAC With Additive Non-Gaussian Noise," in IEEE Transactions on Information Theory, vol. 71, no. 7, pp. 4953-4975, 2025.

[4] L. Zhu and L. Zhou*, "Exponentially Consistent Outlier Hypothesis Testing for Continuous Sequences," in IEEE Transactions on Information Theory, vol. 71, no. 5, pp. 3287-3304, 2025.

[5] L. Zhou, Q. Wang, J. Wang, L. Bai and A. O. Hero, "Large and Small Deviations for Statistical Sequence Matching," in IEEE Transactions on Information Theory, vol. 70, no. 11, pp. 7532-7562,. 2024.

[6] L. Zhou and A. O. Hero, "Resolution Limits of Non-Adaptive 20 Questions Search for a Moving Target," in IEEE Transactions on Information Theory, vol. 69, no. 9, pp. 5463-5484,. 2023.

[7] L. Bai, Z. Wu and L. Zhou*, "Achievable Refined Asymptotics for Successive Refinement Using Gaussian Codebooks," in IEEE Transactions on Information Theory, vol. 69, no. 6, pp. 3525-3543, 2023.

[8] L. Zhou, L. Bai and A. O. Hero, "Resolution Limits of Non-Adaptive 20 Questions Search for Multiple Targets," in IEEE Transactions on Information Theory, vol. 68, no. 8, pp. 4964-4982, 2022.

[9] L. Zhou, Y. Wei and A. O. Hero, "Second-Order Asymptotically Optimal Outlier Hypothesis Testing," in IEEE Transactions on Information Theory, vol. 68, no. 6, pp. 3585-3607, 2022.

[10] L. Zhou and D. Cao, "Privacy-Utility Tradeoff for Hypothesis Testing Over a Noisy Channel," in IEEE Transactions on Information Forensics and Security, vol. 16, pp. 4078-4091, 2021.

[11] L. Zhou and A. O. Hero, "Resolution Limits for the Noisy Non-Adaptive 20 Questions Problem," in IEEE Transactions on Information Theory, vol. 67, no. 4, pp. 2055-2073, 2021.

[12] L. Zhou, "Multiple Private Key Generation for Continuous Memoryless Sources With a Helper," in IEEE Transactions on Information Forensics and Security, vol. 15, pp. 2629-2640, 2020.

[13] L. Zhou and M. Motani, "Non-Asymptotic Converse Bounds and Refined Asymptotics for Two Source Coding Problems," in IEEE Transactions on Information Theory, vol. 65, no. 10, pp. 6414-6440, 2019.

[14] L. Zhou, A. Wolf and M. Motani, "On Lossy Multi-Connectivity: Finite Blocklength Performance and Second-Order Asymptotics," in IEEE Journal on Selected Areas in Communications, vol. 37, no. 4, pp. 735-748, 2019.

[15] L. Zhou, V. Y. F. Tan and M. Motani, "Refined Asymptotics for Rate-Distortion Using Gaussian Codebooks for Arbitrary Sources," in IEEE Transactions on Information Theory, vol. 65, no. 5, pp. 3145-3159, 2019.

[16] L. Zhou, V. Y. F. Tan and M. Motani, "The Dispersion of Mismatched Joint Source-Channel Coding for Arbitrary Sources and Additive Channels," in IEEE Transactions on Information Theory, vol. 65, no. 4, pp. 2234-2251, 2019.

[17] L. Zhou, V. Y. F. Tan, L. Yu and M. Motani, "Exponential Strong Converse for Content Identification With Lossy Recovery," in IEEE Transactions on Information Theory, vol. 64, no. 8, pp. 5879-5897, 2018.

[18] L. Zhou, V. Y. F. Tan and M. Motani, "Achievable Moderate Deviations Asymptotics for Streaming Compression of Correlated Sources," in IEEE Transactions on Information Theory, vol. 64, no. 5, pp. 3756-3780, 2018.

[19] L. Zhou, V. Y. F. Tan and M. Motani, "Second-Order and Moderate Deviations Asymptotics for Successive Refinement," in IEEE Transactions on Information Theory, vol. 63, no. 5, pp. 2896-2921, 2017.

[20] L. Zhou, V. Y. F. Tan and M. Motani, "Discrete Lossy Gray–Wyner Revisited: Second-Order Asymptotics, Large and Moderate Deviations," in IEEE Transactions on Information Theory, vol. 63, no. 3, pp. 1766-1791, 2017.

-专著：

[1] Lin Zhou and A. O. Hero, “Twenty Questions: From Parlor Games to Accurate Estimation”, Foundations and Trends in Communications and Information Theory, NOW Publisher, Volume: 22, No: 4, pp: 394–605, 2025.

[2] Lin Zhou and M. Motani, “Finite Blocklength Lossy Source Coding for Discrete Memoryless Sources”, Foundations and Trends in Communications and Information Theory, NOW Publisher, Volume: 20, No: 3, Pages: 157–389, 2023.

-教材：

[1] L. Zhou and L. Bai, “Low-Latency Communication: Theory and Applications”, Textbook, to appear in Springer, 2025/2026.

[2] 白琳, 王景璟, 周琳, 刘栋, 白桐, 王佳星. 通信网络安全[M]. 北京: 清华大学出版社, 2025.

专利：

[1] 周琳，江浩林，吴壮飞. 一种低复杂度的逐步求精信源编码方法：中国，2024113236552[P]. 2024-09-23.

[2] 周琳，张潆心，吴壮飞. 一种基于极化码的多节点密钥生成方法：中国，2024111493010[P]. 2024-08-21.

[3] 周琳，贺英骐，徐金鹏. 一种基于反向信道功率控制的多用户协作隐蔽通信方法：中国，2024108425003[P]. 2024-06-27.

[4] 周琳，孙椿淞，袁伟杰，等. 一种基于问答式学习的时延多普勒域自适应信道估计方法：中国，2024104321467[P]. 2024-04-10.

[5] 周琳，孙椿淞，苏阳，等. 一种基于隐私问答式学习的安全波束对准算法：中国，2023113958342[P]. 2023-10-26.

[6] 周琳，贺英骐，徐金鹏. 一种基于功率控制的短波隐蔽通信方法：中国，2023115005454[P]. 2023-11-13.

[7] 周琳，汤辰，刁珺. 一种低复杂度的面向未知连续信源的两阶段异常检测方法：中国，2023112600956[P]. 2023-09-27.

[8] 周琳，江浩林，吴壮飞. 一种低复杂度的隐蔽通信编解码方法：中国，202311093155X[P]. 2023-08-29.

[9] 周琳，白琳，孙椿淞，等. 一种基于问答式学习的自适应多波束对准方法：中国，2023109206812[P]. 2023-07-26.

[10] 周琳，白琳，孙椿淞，等. 一种基于短码长信息论的非自适应性波束对准方法：中国，2022106831605[P]. 2022-06-16.

所获荣誉

[1] 中国指挥与控制学会科技进步一等奖（2022年，排名3/15）

[2] 中国电子学会信息论分会青年新星

学术荣誉

2021.12，入选国家海外高层次人才计划青年项目（QM）

2021.7，入选北航青年拔尖人才计划

2019.12，入选北航卓越百人计划