Ying Li

Orcid: 0009-0007-8100-6568

Affiliations:

University of Hong Kong, Department of Statistics and Actuarial Science, Hong Kong

According to our database¹, Ying Li authored at least 8 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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Bibliography

2025

Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, March, 2025

2024

Enhancing Multi-Stream Beamforming Through CQIs for 5G NR FDD Massive MIMO Communications: A Tuning-Free Scheme.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., November, 2024

Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems With Limited Feedback.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2024

Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Digital Twin-Aided Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Learning Enhanced Beamforming Vector From CQIs in 5G NR FDD Massive MIMO Systems: A Tuning-free Approach.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Pushing The Limit of Type I Codebook For Fdd Massive Mimo Beamforming: A Channel Covariance Reconstruction Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Ying Li

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