Lin Zhou

Orcid: 0000-0002-5173-320X

Affiliations:
  • Beihang University, School of Cyber Science and Technology, China
  • University of Michigan, Ann Arbor, USA (former)
  • National University of Singapore, Department of Electrical and Computer Engineering, Singapore (PhD 2018)


According to our database1, Lin Zhou authored at least 57 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Resolution Limits of Non-Adaptive 20 Questions Search for a Moving Target.
IEEE Trans. Inf. Theory, September, 2023

Achievable Refined Asymptotics for Successive Refinement Using Gaussian Codebooks.
IEEE Trans. Inf. Theory, June, 2023

Efficient User Scheduling for Uplink Hybrid Satellite-Terrestrial Communication.
IEEE Trans. Wirel. Commun., March, 2023

Covert Communication for Spatially Sparse mmWave Massive MIMO Channels.
IEEE Trans. Commun., March, 2023

Finite Blocklength Lossy Source Coding for Discrete Memoryless Sources.
Found. Trends Commun. Inf. Theory, 2023

From OTFS to DD-ISAC: Integrating Sensing and Communications in the Delay Doppler Domain.
CoRR, 2023

On Finite Blocklength Lossy Source Coding.
CoRR, 2023

Successive Refinement of Shannon Cipher System Under Maximal Leakage.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Achievable Error Exponents for Almost Fixed-Length M-ary Classification.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Achievable Error Exponents for Almost Fixed-Length M-Ary Hypothesis Testing.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Second-Order Asymptotically Optimal Outlier Hypothesis Testing.
IEEE Trans. Inf. Theory, 2022

Resolution Limits of Non-Adaptive 20 Questions Search for Multiple Targets.
IEEE Trans. Inf. Theory, 2022

Achievable Error Exponents for Almost Fixed-Length Hypothesis Testing and Classification.
CoRR, 2022

Asymptotics for Outlier Hypothesis Testing.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Excess-Distortion Exponents for Successive Refinement Using Gaussian Codebooks.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Achievable Error Exponents for Almost Fixed-Length Binary Classification.
Proceedings of the IEEE International Symposium on Information Theory, 2022

UAMP-Based Channel Estimation for OTFS in the Presence of the Fractional Doppler with HMM Prior.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

2021
Resolution Limits for the Noisy Non-Adaptive 20 Questions Problem.
IEEE Trans. Inf. Theory, 2021

Privacy-Utility Tradeoff for Hypothesis Testing Over a Noisy Channel.
IEEE Trans. Inf. Forensics Secur., 2021

Resolution Limits of Non-Adaptive 20 Questions Search for Multiple Targets.
CoRR, 2021

Second-Order Asymptotically Optimal Outlying Sequence Detection with Reject Option.
Proceedings of the IEEE Information Theory Workshop, 2021

Resolution Limits of Non-Adaptive 20 Questions Estimation for Multiple Targets.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Achievable Resolution Limits for the Noisy Adaptive 20 Questions Problem.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Achievable Second-Order Asymptotics for Successive Refinement Using Gaussian Codebooks.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Resolution Limits of 20 Questions Search Strategies for Moving Targets.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Distributed Detection With Empirically Observed Statistics.
IEEE Trans. Inf. Theory, 2020

Multiple Private Key Generation for Continuous Memoryless Sources With a Helper.
IEEE Trans. Inf. Forensics Secur., 2020

Second-Order Asymptotically Optimal Universal Outlying Sequence Detection with Reject Option.
CoRR, 2020

Hypothesis Testing with Privacy Constraints Over A Noisy Channel.
CoRR, 2020

Resolution Limits of Non-Adaptive Querying for Noisy 20 Questions Estimation.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
Refined Asymptotics for Rate-Distortion Using Gaussian Codebooks for Arbitrary Sources.
IEEE Trans. Inf. Theory, 2019

The Dispersion of Mismatched Joint Source-Channel Coding for Arbitrary Sources and Additive Channels.
IEEE Trans. Inf. Theory, 2019

Non-Asymptotic Converse Bounds and Refined Asymptotics for Two Source Coding Problems.
IEEE Trans. Inf. Theory, 2019

On Lossy Multi-Connectivity: Finite Blocklength Performance and Second-Order Asymptotics.
IEEE J. Sel. Areas Commun., 2019

Exponential Strong Converse for Successive Refinement with Causal Decoder Side Information.
Entropy, 2019

A Strong Converse Theorem for Hypothesis Testing Against Independence over a Two-Hop Network.
Entropy, 2019

Resolution Limits of Noisy 20 Questions Estimation.
CoRR, 2019

Strong Converse for Hypothesis Testing Against Independence over a Two-Hop Network.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Second-Order Asymptotically Optimal Statistical Classification.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Exponential Strong Converse for Content Identification With Lossy Recovery.
IEEE Trans. Inf. Theory, 2018

Achievable Moderate Deviations Asymptotics for Streaming Compression of Correlated Sources.
IEEE Trans. Inf. Theory, 2018

Second-Order Asymptotics of Universal JSCC for Arbitrary Sources and Additive Channels.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Second-Order Asymptotics of Rate-Distortion using Gaussian Codebooks for Arbitrary Sources.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

On the Finite Blocklength Performance of Lossy Multi-Connectivity.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Second-Order and Moderate Deviations Asymptotics for Successive Refinement.
IEEE Trans. Inf. Theory, 2017

Discrete Lossy Gray-Wyner Revisited: Second-Order Asymptotics, Large and Moderate Deviations.
IEEE Trans. Inf. Theory, 2017

The Dispersion of Universal Joint Source-Channel Coding for Arbitrary Sources and Additive Channels.
CoRR, 2017

Non-Asymptotic Converse Bounds and Refined Asymptotics for Two Lossy Source Coding Problems.
CoRR, 2017

Exponential Strong Converse for Content Identification with Lossy Recovery.
CoRR, 2017

Achievable moderate deviations asymptotics for streaming Slepian-Wolf coding.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Strong converse for content identification with lossy recovery.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

On the Multiple Description Coding Problem with One Semi-Deterministic Distortion Measure.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Kaspi Problem Revisited: Non-Asymptotic Converse Bound and Second-Order Asymptotics.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Moderate Deviations Asymptotics for Streaming Compression of Correlated Sources.
CoRR, 2016

Second-Order and Moderate Deviation Asymptotics for Successive Refinement.
CoRR, 2016

Second-order coding region for the discrete successive refinement source coding problem.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Second-order coding region for the discrete lossy Gray-Wyner source coding problem.
Proceedings of the IEEE International Symposium on Information Theory, 2016


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