Yueliang Liu

According to our database1, Yueliang Liu authored at least 14 papers between 2012 and 2020.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Parametric Sparse Bayesian Dictionary Learning for Multiple Sources Localization With Propagation Parameters Uncertainty.
IEEE Trans. Signal Process., 2020

2019
Graph Learning for Spatiotemporal Signal with Long Short-Term Characterization.
CoRR, 2019

Graph Learning Based on Spatiotemporal Smoothness for Time-Varying Graph Signal.
IEEE Access, 2019

Spatiotemporal Smoothness-based Graph Learning Method for Sensor Networks.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Sparse Bayesian Learning for Multiple Sources Localization with Unknown Propagation Parameters.
Proceedings of the 30th IEEE Annual International Symposium on Personal, 2019

Graph Learning for Spatiotemporal Dynamic Signal.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Grid Evolution: Joint Dictionary Learning and Sparse Bayesian Recovery for Multiple Off-Grid Targets Localization.
IEEE Commun. Lett., 2018

An Efficient Algorithm for Invulnerability Enhancement in Cognitive Ad Hoc Networks.
Proceedings of the Communications, Signal Processing, and Systems, 2018

Joint Sparse-AR Model Based OFDM Compressed Sensing Time-Varying Channel Estimation.
Proceedings of the Communications, Signal Processing, and Systems, 2018

2017
Empirical Model Based on New Filtering Algorithm for High-Speed-Train Channels.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Dynamic Channel Model and Performance Analysis for LTE-Hi.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

2013
A Blind Receiver with Multiple Antennas in Impulsive Noise Modeled as the Sub-Gaussian Distribution via the MCMC Algorithm.
IEEE Trans. Veh. Technol., 2013

2012
A Multidimensional Class B Noise Model Based on Physical and Mathematical Analysis.
IEEE Trans. Commun., 2012

A Novel Adaptive Receiver for Flat Fading Channels with Impulsive Noise.
Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012


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