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 12 papers between 2020 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Multi-Task Training Approach for CSI Feedback in Massive MIMO Systems.
IEEE Commun. Lett., January, 2023

Model Transmission-Based Online Updating Approach for Massive MIMO CSI Feedback.
IEEE Commun. Lett., 2023

Real-World Wireless Channel Data Augmentation Using Adversarial Autoencoder for DL-Based Massive Mimo CSI Feedback.
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.
IEEE Wirel. Commun. Lett., 2022

CVLNet: A Complex-Valued Lightweight Network for CSI Feedback.
IEEE Wirel. Commun. Lett., 2022

Changeable Rate and Novel Quantization for CSI Feedback Based on Deep Learning.
IEEE Trans. Wirel. Commun., 2022

Multi-task Deep Neural Networks for Massive MIMO CSI Feedback.
CoRR, 2022

Changeable Rate and Novel Quantization for CSI Feedback Based on Deep Learning.
CoRR, 2022

Deep Learning-Based Cooperative CSI Feedback via Multiple Receiving Antennas in Massive MIMO.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Deep Learning-Based Bitstream Error Correction for CSI Feedback.
IEEE Wirel. Commun. Lett., 2021

2020
Wireless Channel Data Augmentation for Artificial Intelligence of Things in Industrial Environment Using Generative Adversarial Networks.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Spherical Normalization for Learned Compressive Feedback in Massive MIMO CSI Acquisition.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020


  Loading...