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Yongsheng Yao

Orcid: 0000-0001-5368-3245

According to our database1, Yongsheng Yao authored at least 10 papers between 2021 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Channel coding against quantum jammers via minimax.
[BibTeX]
[DOI]
Michael X. Cao
,
Yongsheng Yao
,
Mario Berta
CoRR, May, 2025

Reliable Simulation of Quantum Channels: The Error Exponent.
[BibTeX]
[DOI]
Ke Li
,
Yongsheng Yao
IEEE Trans. Inf. Theory, January, 2025

2024
Strong Converse Exponent for Entanglement-Assisted Communication.
[BibTeX]
[DOI]
Ke Li
,
Yongsheng Yao
IEEE Trans. Inf. Theory, July, 2024

Exponents for classical-quantum channel simulation in purified distance.
[BibTeX]
[DOI]
Aadil Oufkir
,
Yongsheng Yao
,
Mario Berta
CoRR, 2024

2023
Tight Exponential Analysis for Smoothing the Max-Relative Entropy and for Quantum Privacy Amplification.
[BibTeX]
[DOI]
Ke Li
,
Yongsheng Yao
,
Masahito Hayashi
IEEE Trans. Inf. Theory, March, 2023

2022
Operational Interpretation of the Sandwiched Rényi Divergences of Order 1/2 to 1 as Strong Converse Exponents.
[BibTeX]
[DOI]
Ke Li
,
Yongsheng Yao
CoRR, 2022

Exponents in smoothing the max-relative entropy and of randomness extraction against quantum side information.
[BibTeX]
[DOI]
Ke Li
,
Yongsheng Yao
,
Masahito Hayashi
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Reliable Simulation of Quantum Channels.
[BibTeX]
[DOI]
Ke Li
,
Yongsheng Yao
CoRR, 2021

Reliability Function of Quantum Information Decoupling.
[BibTeX]
[DOI]
Ke Li
,
Yongsheng Yao
CoRR, 2021

Exponent in Smoothing the Max-Relative Entropy and Its Application to Quantum Privacy Amplification.
[BibTeX]
[DOI]
Ke Li
,
Yongsheng Yao
CoRR, 2021


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