Xin Liang

Orcid: 0000-0003-4306-9836

Affiliations:

Beijing University of Posts and Telecommunications, School of Artificial Intelligence, Beijing, China

According to our database¹, Xin Liang authored at least 14 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2024

Toward Better Low-Rate Deep Learning-Based CSI Feedback: A Test Channel-Based Approach.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., August, 2024

E2ENet: An End-to-End Channel Prediction Neural Network Based on Uplink Pilot for FDD Systems.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., May, 2024

2023

Multi-Task Training Approach for CSI Feedback in Massive MIMO Systems.

[BibT_eX]

[DOI]

IEEE Commun. Lett., January, 2023

Model Transmission-Based Online Updating Approach for Massive MIMO CSI Feedback.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2023

Real-World Wireless Channel Data Augmentation Using Adversarial Autoencoder for DL-Based Massive Mimo CSI Feedback.

[BibT_eX]

[DOI]

Xin Liang

Zhenyu Liu

Lin Zhang

Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

2022

Clustering Algorithm-Based Quantization Method for Massive MIMO CSI Feedback.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2022

CVLNet: A Complex-Valued Lightweight Network for CSI Feedback.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2022

Changeable Rate and Novel Quantization for CSI Feedback Based on Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

Multi-task Deep Neural Networks for Massive MIMO CSI Feedback.

[BibT_eX]

[DOI]

CoRR, 2022

Changeable Rate and Novel Quantization for CSI Feedback Based on Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Learning-Based Cooperative CSI Feedback via Multiple Receiving Antennas in Massive MIMO.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

2021

Deep Learning-Based Bitstream Error Correction for CSI Feedback.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2021

2020

Wireless Channel Data Augmentation for Artificial Intelligence of Things in Industrial Environment Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Spherical Normalization for Learned Compressive Feedback in Massive MIMO CSI Acquisition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Xin Liang

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