Lin Zhou received B. E. degree in Information Engineering from Shanghai Jiao Tong University (SJTU) in 2014 and the Ph.D. degree in the Department of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS). Since Aug. 2020, Dr. Zhou has been with Beihang University, Beijing, China, where he is currently an Associate Professor in the School of Cyber Science and Te...details>
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
School/Department:School of Cyber Science and Technology
Social AffiliationsNo content
Shanghai Jiao Tong University |  Information Engineering |  B.Eng. 2014/8-2018/8
National University of Singapore |  Electrical and Computer Engineering |  Ph.D.   Study under the supervisor of Prof. Vincent Yan Fu Tan and Prof. Mehul Motani on finite blocklength information theory.
Electrical and Computer Engineering | National University of Singapore  | Research engineer/research fellow  | From Mar. to Aug.in 2018, as a research engineer and from Sept. 2018 to Jan. 2019, as a research fellow 2019/1-2020/8
EECS | University of Michigan, Ann Arbor  | Research fellow  | Worked on applications of information theory on statistical signal processing and machine learning problems.
- 1.Lin Zhou.Resolution Limits of Non-Adaptive 20 Questions Search for Multiple Targets.IEEE Transactions on Information Theory.2022,68(8):4964-4982
- 2.Lin Zhou.Second-Order Asymptotically Optimal Outlier Hypothesis Testing.IEEE Transactions on Information Theory.2022,68(6):3585-3607
- 3.Lin Zhou.Privacy-Utility Tradeoff for Hypothesis Testing Over A Noisy Channel.IEEE Transactions on Information Forensics and Security.2021,16:4078–4091
- 4.Lin Zhou.Resolution Limits of Non-Adaptive Noisy 20 Questions Problem.IEEE Transactions on Information Theory.2021,67(4):2055- 2073
- 5.Haiyun He.Distributed Detection with Empirically Observed Statistics.IEEE Transactions on Information Theory.2020,66:4349–4367
- 6.Lin Zhou.Second-Order Asymptotically Optimal Statistical Classification.Information and Inference: A Journal of IMA.2020,9(1):81–111