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Ying Li
Ying Li
Ph.D student, The University of Hong Kong (HKU)
Verified email at connect.hku.hk
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Year
Digital twin-aided learning to enable robust beamforming: Limited feedback meets deep generative models
Y Li, K Li, L Cheng, Q Shi, ZQ Luo
2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021
72021
Learning enhanced beamforming vector from CQIs in 5G NR FDD massive MIMO systems: A tuning-free approach
K Li, Y Li, L Cheng, Q Shi, ZQ Luo
2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021
62021
Pushing the limit of Type I codebook for FDD massive MIMO beamforming: A channel covariance reconstruction approach
K Li, Y Li, L Cheng, Q Shi, ZQ Luo
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
42021
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models
Z Lin, J Maroñas, Y Li, F Yin, S Theodoridis
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
22024
Downlink channel covariance matrix reconstruction for FDD massive MIMO systems with limited feedback
K Li, Y Li, L Cheng, Q Shi, ZQ Luo
IEEE Transactions on Signal Processing, 2024
12024
Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training
Y Li, L Cheng, F Yin, MM Zhang, S Theodoridis
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
12023
Online/Offline Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models
Y Li, Z Lin, K Li, MM Zhang
arXiv preprint arXiv:2404.06055, 2024
2024
Preventing Model Collapse in Gaussian Process Latent Variable Models
Y Li, Z Lin, F Yin, MM Zhang
arXiv preprint arXiv:2404.01697, 2024
2024
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