近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
专著
L. Zhou and Mehul Motani, “Finite Blocklength Lossy Source Coding for Discrete Memoryless Sources”, Foundations and Trends in Communications and Information Theory, Volume: 20, No: 3, Pages: 157–389, 2023.
期刊论文
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.
会议论文
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.
京公网安备 11010802027423号