Ying Li

15 papers A* 1Misc 3Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems.
CoRR
Zhidi Lin, Ying Li, Feng Yin, Juan Maroñas, Alexandre H. Thiéry
2025 J jnl
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems.
IEEE Trans. Signal Process.
Zhidi Lin, Ying Li, Feng Yin, Juan Maroñas, Alexandre H. Thiéry
2025 J jnl
Multi-View Oriented GPLVM: Expressiveness and Efficiency.
CoRR
Zi Yang, Ying Li, Zhidi Lin, Michael Minyi Zhang, Pablo M. Olmos
2025 J jnl
Scalable Random Feature Latent Variable Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Ying Li, Zhidi Lin, Yuhao Liu, Michael Minyi Zhang, Pablo M. Olmos, Petar M. Djuric
2024 J jnl
Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems With Limited Feedback.
IEEE Trans. Signal Process.
Kai Li, Ying Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo
2024 J jnl
Enhancing Multi-Stream Beamforming Through CQIs for 5G NR FDD Massive MIMO Communications: A Tuning-Free Scheme.
IEEE Trans. Wirel. Commun.
Kai Li, Ying Li, Lei Cheng, Zhi-Quan Luo
2024 A* conf
Preventing Model Collapse in Gaussian Process Latent Variable Models.
ICML
Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang
2024 J jnl
Preventing Model Collapse in Gaussian Process Latent Variable Models.
CoRR
Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang
2024 J jnl
Scalable Random Feature Latent Variable Models.
CoRR
Ying Li, Zhidi Lin, Yuhao Liu, Michael Minyi Zhang, Pablo M. Olmos, Petar M. Djuric
2024 Misc conf
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models.
ICASSP
Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
2023 Misc conf
Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training.
ICASSP
Ying Li, Lei Cheng, Feng Yin, Michael Minyi Zhang, Sergios Theodoridis
2023 J jnl
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models.
CoRR
Zhidi Lin, Juan Maroñas, Ying Li, Feng Yin, Sergios Theodoridis
2021 — conf
Digital Twin-Aided Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models.
SPAWC
Ying Li, Kai Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo
2021 — conf
Learning Enhanced Beamforming Vector From CQIs in 5G NR FDD Massive MIMO Systems: A Tuning-free Approach.
SPAWC
Kai Li, Ying Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo
2021 Misc conf
Pushing The Limit of Type I Codebook For Fdd Massive Mimo Beamforming: A Channel Covariance Reconstruction Approach.
ICASSP
Kai Li, Ying Li, Lei Cheng, Qingjiang Shi, Zhi-Quan Luo