周琳，男，北京航空航天大学网络空间安全学院副研究员、博士生导师，主要研究方向包括信息论、物理层安全、统计异常检测等。以第一作者身份发表CCF A类期刊论文14篇，其中信息论期刊IEEE TIT 11篇；以第一作者身份在Foundations and Trends in Communication and Information Theory发表英文专著”Finite Blocklength Lossy Source Coding for Discrete Memoryless Sources”；主持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、北京实验室研究生培养与共建项目等，作为研究骨干参与国家自然科学基金联合项目、国家重点研发计划课题。2014年于上海交通大学信息工程系获学士学位，2018年于新加坡国立大学电子与计算机工程系获博士学位。2016-2018年连续3年荣获IEEE ISIT Student Travel Grant，2019年入选北航“卓越百人计划”，2021年入选国家级青年人才计划与北航第十一批“青年拔尖人才计划”，2022年获中国指挥与控制学会科学进步一等奖（3/15）与中国电子学会信息论分会青年新星。
L. Zhou and Alfred Hero, “Resolution Limits of Non-Adaptive 20 Questions Search Strategies for a Moving Target”, IEEE Transactions on Information Theory, Volume: 69, 2023.
Lin Bai, Zhuangfei Wu, and L. Zhou, “Achievable refined asymptotics for successive refinement using Gaussian codebooks,”，to appear in IEEE Transactions on Information Theory, Volume: 69, Issue: 6, Pages: 3525-3543, 2023.
L. Bai, J. Xu and L. Zhou, “Covert Communication for Spatially Sparse mmWave Massive MIMO Channels”, to appear in IEEE Transactions on Communications, Volume: 71, Issue: 3, Pages: 1615-1630, 2023.
Lina Zhu, Lin Bai, L. Zhou and Jinho Choi, “Efficient User Scheduling for Uplink Hybrid Satellite-Terrestrial Communication”, to appear in IEEE Transactions on Wireless Communications, Volume: 22, Issue: 3, Pages: 1885-1899, 2023.
L. Zhou L. Bai and A. Hero, “Resolution Limits of Non-Adaptive 20 Questions Search for Multiple Targets”, IEEE Transactions on Information Theory, Volume: 68, Issue:8, Pages: 4964-4982, 2022.
L. Zhou Y. Wei and A. Hero, “Second-Order Asymptotically Optimal Outlier Hypothesis Testing”, IEEE Transactions on Information Theory, Volume: 68, Issue: 6, Pages: 3585-3607, 2022.
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.
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, April 2021.
H. He, L. Zhou and V. Y. F. Tan, “Distributed Detection with Empirically Observed Statistics”, in IEEE Transactions on Information Theory, vol. 66, no. 7, pp. 4349–4367, 2020.
L. Zhou, V. Y. F. Tan and M. Motani, “Second-Order Asymptotically Optimal Statistical Classification”, Information and Inference: A Journal of IMA, vol. 9, Issue: 1, pp. 81–111, 2020.
L. Zhou, “Multiple Private Key Generation for Continuous Memoryless Sources with A Helper”, vol. 15, pp. 2629–2640, IEEE Transactions on Information Forensics and Security, 2020.
D. Cao, L. Zhou, and V. Y.F. Tan. "A Strong Converse Theorem for Hypothesis Testing Against Independence over a Two-Hop Network" Entropy 21, no. 12: 1171. 2019.
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, Oct. 2019.
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, May 2019.
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, April 2019.
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, April 2019.
L. Zhou and A. Hero, “Exponential Strong Converse for Successive Refinement with Causal Decoder Side Information”, Entropy 21, no. 4: 410.
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, Aug. 2018.
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, May 2018.
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, May 2017.
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, March 2017.
Yiming Wang, L. Zhou and Lin Bai, “Achievable Second-Order Asymptotics for Additive Non-Gaussian MAC and RAC”, IEEE Global Communications Conference (GLOBECOM), 2023.
Jun Diao, L. Zhou and Lin Bai, “Achievable Error Exponentsfor Almost Fixed-Length M-Ary Classification”, IEEE International Symposium on Information Theory (ISIT), 2023.
Zhuangfei Wu, L. Zhou and Lin Bai, “Successive Refinement of Shannon Cipher System Under Maximal Leakage”, IEEE International Symposium on Information Theory (ISIT), 2023.
Chunsong Sun, L. Zhou and Lin Bai, “Achievable Resolution Limits of Adaptive 20 Questions Estimation for Multiple Targets”, IEEE International Symposium on Information Theory (ISIT), 2023.
Jun Diao, L. Zhou and Lin Bai, “Achievable Error ExponentsforM-ary Almost Fixed Length Hypothesis Testing”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.
Zhongjie Li, Weijie Yuan and L. Zhou, "UAMP-Based Channel Estimation for OTFS in the Presence of the Fractional Doppler with HMM Prior," 2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops).
L. Bai, J. Diao and L. Zhou, "Achievable Error Exponents for Almost Fixed-Length Binary Classification," 2022 IEEE International Symposium on Information Theory (ISIT), 2022.
Z. Wu, L. Bai and L. Zhou, "Excess-Distortion Exponents for Successive Refinement Using Gaussian Codebooks," 2022 IEEE International Symposium on Information Theory (ISIT), 2022.
L. Zhou, Y. Wei and A. Hero, "Asymptotics for Outlier Hypothesis Testing," 2022 IEEE International Symposium on Information Theory (ISIT), 2022.
L. Zhou, A. Hero and Y. Wei, "Second-Order Asymptotically Optimal Outlying Sequence Detection with Reject Option," 2021 IEEE Information Theory Workshop (ITW), 2021, pp. 1-6.
L. Bai, Z. Wu and L. Zhou, , "Achievable Second-Order Asymptotics for Successive Refinement Using Gaussian Codebooks," 2021 IEEE International Symposium on Information Theory (ISIT), 2021, pp. 2888-2893.
L. Zhou and A. Hero, "Achievable Resolution Limits for the Noisy Adaptive 20 Questions Problem," 2021 IEEE International Symposium on Information Theory (ISIT), 2021, pp. 784-789.
L. Zhou and A. Hero, "Resolution Limits of Non-Adaptive 20 Questions Estimation for Multiple Targets," 2021 IEEE International Symposium on Information Theory (ISIT), 2021, pp. 790-795.
L. Zhou and A. Hero, "Resolution Limits of 20 Questions Search Strategies for Moving Targets," ICASSP 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 5210-5214.
L. Zhou and A. Hero, "Resolution Limits of Non-Adaptive Querying for Noisy 20 Questions Estimation," 2020 IEEE International Symposium on Information Theory (ISIT), 2020, pp. 2167-2172.
H. He, L. Zhou and V. Y. F. Tan, "Distributed Detection with Empirically Observed Statistics," 2019 IEEE Information Theory Workshop (ITW), 2019, pp. 1-5.
L. Zhou and A. Hero, "Exponential Strong Converse for Successive Refinement with Causal Decoder Side Information," 2019 IEEE International Symposium on Information Theory (ISIT), 2019, pp. 1817-1821.
D. Cao, L. Zhou and V. Y. F. Tan, "Strong Converse for Hypothesis Testing Against Independence over a Two-Hop Network," 2019 IEEE International Symposium on Information Theory (ISIT), 2019, pp. 1994-1998.
L. Zhou, V. Y. F. Tan and M. Motani, "Second-Order Asymptotically Optimal Statistical Classification," 2019 IEEE International Symposium on Information Theory (ISIT), 2019, pp. 231-235.
L. Zhou, A. Wolf and M. Motani, "On the Finite Blocklength Performance of Lossy Multi-Connectivity," 2018 IEEE Global Communications Conference (GLOBECOM), 2018, pp. 1-6.
L. Zhou, V. Y. F. Tan and M. Motani, "Second-Order Asymptotics of Universal JSCC for Arbitrary Sources and Additive Channels," 2018 IEEE International Symposium on Information Theory (ISIT), 2018, pp. 1500-1504.
L. Zhou, V. Y. F. Tan and M. Motani, "Second-Order Asymptotics of Rate-Distortion using Gaussian Codebooks for Arbitrary Sources," 2018 IEEE International Symposium on Information Theory (ISIT), 2018, pp. 1495-1499.
L. Zhou and Mehul Motani, “On the Multiple Description Coding with One Semi-deterministic Distortion Measure”, IEEE Globecom, Singapore, 2017.
L. Zhou and Mehul Motani, “Kaspi Problem Revisited: Non-Asymptotic Converse Bound and Second-Order Asymptotics”, IEEE Globecom, Singapore, 2017.
L. Zhou, Vincent Y. F. Tan and Mehul Motani, “Strong Converse for Content Identification with Lossy Recovery”, IEEE ISIT, Aachen, Germany, 2017.
L. Zhou, Vincent Y. F. Tan and Mehul Motani, “Achievable Moderate Deviations Asymptotics for Streaming Compression of Correlated Sources”, IEEE ISIT, Aachen, Germany, 2017.
L. Zhou, Vincent Y. F. Tan and Mehul Motani, “Second-Order Coding Region for the Discrete Successive Refinement Source Coding Problem”, IEEE ISIT, Barcelona, Spain, 2016.
L. Zhou, Vincent Y. F. Tan and Mehul Motani, “Second-Order Coding Region for the Discrete Lossy Gray-Wyner Source Coding Problem”, IEEE ISIT, Barcelona, Spain, 2016.
