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周琳

发布日期:2023-04-05

       

周 琳 Lin Zhou

   

副研究员

   

博士

   


第一馆507

   

必赢bwin线路检测中心

   


电子信箱

lzhou@buaa.edu.cn

   


个人主页

https://cns.buaa.edu.cn/info/1153/1109.htm

学习经历

 2014年于上海交通大学获学士学位

 2018年于新加坡国立大学获博士学位

工作经历

 20183月至20191月,于新加坡国立大学从事博士后研究

 20191月至20208月,于密歇根大学安娜堡分校从事博士后研究

 20208月至今,于必赢线路检测3003no1任副研究员

研究领域

 信息论、统计推断、物理层安全、空天地一体化通信安全

荣誉及奖励

 2022年获中国指挥与控制学会科技进步一等奖(排名3/15)与中国电子学会信息论分会青年新星

 2021年入选国家海外高层次青年人才计划

 2021年入选北京航空航天大学“青年拔尖人才计划”

 2019年入选北京航空航天大学“卓越百人计划

 2014-2018,新加坡国立大学博士生奖学金

 2016-2018,信息论会议ISIT Student Travel Grant

 2011-2013,上海交通大学学业优秀奖学金

开授课程

 通信原理、移动通信概论、科技英语

科研成果

长期致力于有限码长信息论及其在通信、信号处理等领域的应用,主要研究成果在于提出或利用短码长信息论分析技巧研究了多终端有损信源编码、点对点的非匹配通信、多连接的无线通信、基于信源编码的密钥生成、分布位置的统计异常检测等问题,为高效有损数据(视频、音频)压缩、具备鲁棒性的高可靠通信、基于密钥的安全通信等问题提供了理论基础与比较基准,从而为构建高可靠、低时延、强安全的通信网络提供信息论层面的理论支撑。在上述研究方向,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,参与国家重点研发计划课题、国家自然科学基金联合基金重点项目。主要成果发表在计算机科学理论方向CCF A类期刊IEEE Transactions on Information Theory (TIT)、网络与信息安全方向CCF A类期刊IEEE Transactions on Information Forensics and Security (TIFS) 以及电信学中科院分类1区期刊IEEE Journal on Selected Areas in Communications (JSAC)。近五年以第一作者发表CCF A类期刊论文13篇,其中TIT 10篇,期刊论文如下:


19) Lin Bai, Zhuangfei Wu and Lin Zhou*, “Achievable Refined Asymptotics for Successive Refinement Using Gaussian Codebooks”, to appear in IEEE Transactions on Information Theory, 2023.

18) Lin Bai, Jinpeng Xu and Lin Zhou*, “Covert Communication for Spatially Sparse mmWave Massive MIMO Channels”, IEEE Transactions on Communications, Volume: 71, Issue: 3, Pages: 1615-1630, 2023.

17) Lina Zhu , Lin Bai, Lin Zhou* and Jinho Choi, “Efficient User Scheduling for Uplink Hybrid Satellite-Terrestrial Communication”, IEEE Transactions on Wireless Communications, Volume: 22, Issue:3, Pages: 1885-1899, 2023.

16) Lin Zhou, Lin Bai and Alfred 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.

15) Lin Zhou, Yun Wei and Alfred Hero, “Second-Order Asymptotically Optimal Outlier Hypothesis Testing”, IEEE Transactions on Information Theory, Volume: 68, Issue: 6, Pages: 3585-3607, 2022.

14) Lin Zhou and Daming Cao, “Privacy-Utility Tradeoff for Hypothesis Testing Over A Noisy Channel”, IEEE Transactions on Information Forensics and Security, Volume: 16, Pages: 4078-4091, 2021.

13)  Lin Zhou and Alfred Hero, “Resolution Limits of Non-Adaptive Noisy 20 Questions Problem”, IEEE Transactions on Information Theory, Volume: 67, No: 4, Pages: 2055-2073, 2021.

12) Haiyun He, Lin Zhou and Vincent Y. F. Tan, “Distributed Detection with Empirically Observed Statistics”, Volume: 66, Issue: 7, Pages: 4349–4367, IEEE Transactions on Information Theory, 2020.

11) Lin Zhou, Vincent Y. F. Tan and Mehul Motani, “Second-Order Asymptotically Optimal Statistical Classification”, Information and Inference: A Journal of IMA, Volume: 9, Issue: 1, Pages: 81–111, Mar. 2020.

10) Lin Zhou, “Multiple Private Key Generation for Continuous Memoryless Sources with A Helper”, Volume: 15, pages: 2629–2640, IEEE Transactions on Information Forensics and Security, Feb. 2020.

9) Lin Zhou and Mehul Motani, “Non-Asymptotic Converse Bounds and Refined Asymptotics for Two Lossy Source Coding Problems”, IEEE Transactions on Information Theory, Volume: 65, Issue: 10, Pages: 6414-6440, 2019.

8) Lin Zhou, Vincent Y. F. Tan and Mehul Motani, “Refined Asymptotics for Rate-Distortion using Gaussian Codebooks for Arbitrary Sources”, IEEE Transactions on Information Theory, Volume: 65, Issue: 5, Pages: 3145–3159, 2019.

7) Lin Zhou, Vincent Y. F. Tan and Mehul Motani, “The Dispersion of Mismatched Joint Source-Channel Coding for Arbitrary Sources and Additive Channels”, IEEE Transactions on Information Theory, Volume: 65, Issue: 4, Pages: 2234–2251, 2019.

6) Lin Zhou, Albrecht Wolf and Mehul Motani, “On Lossy Multi-Connectivity: Finite Blocklength Performance and Second-Order Asymptotics”, IEEE Journal on Selected Areas in Communication (JSAC), Volume: 37, Issue: 4, Pages: 735–748, 2019, special issue on ultra-reliable and low-latency communication (URLLC).

5) Lin Zhou and Alfred Hero, “Exponential Strong Converse for Successive Refinement with Causal Decoder Side Information”, Entropy 2019, Volume: 21, Issue: 4, Article 410, special issue on multiuser Information Theory II.

4) Lin Zhou, Vincent Y. F. Tan, Lei Yu and Mehul Motani, “Exponential Strong Converse for Content Identification with Lossy Recovery”, IEEE Transactions on Information Theory, Volume: 64, Issue: 8, Pages: 5879–5897, 2018.

3) Lin Zhou, Vincent Y. F. Tan and Mehul Motani, “Achievable Moderate Deviations Asymptotics for Streaming Compression of Correlated Sources”, IEEE Transactions on Information Theory, Volume: 64, Issue: 5, Pages: 3756–3780, 2018.

2) Lin Zhou, Vincent Y. F. Tan and Mehul Motani, “Second-Order and Moderate Deviation Asymptotics for Successive Refinement”, IEEE Transactions on Information Theory, Volume: 63, Issue: 5, Pages: 2896–2921, 2017.

1) Lin Zhou, Vincent Y. F. Tan and Mehul Motani, “Discrete Lossy Gray-Wyner Revisited: Second-order Asymptotics, Large and Moderate Deviations”, IEEE Transactions on Information Theory, Volume: 63, Issue: 3, Pages: 1766–1791, 2017.


学术与社会服务

IEEE WTC空天地一体化专委会秘书

Guest editor for MDPI Entropy Special Issue on “Information Theory for MIMO Systems”

IEEE VTC 2021 TPC member

ITW 2018, Session Chair for Source Coding

长期担任相关领域期刊和会议审稿人,包括IEEE TIT、JSAIT、JSAC、JSTSP、TCOM、TWC、TSP、TCCN、ISIT、ITW、ICC







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