Xi Li

Orcid: 0000-0002-8914-5390

Affiliations:
  • Southeast University, National Mobile Communications Research Laboratory, School of Information Science and Engineering, Nanjing, China
  • Stony Brook University, Department of Electrical and Computer Engineering, NY, USA (2018-2019)


According to our database1, Xi Li authored at least 12 papers between 2016 and 2022.

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

Timeline

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Bibliography

2022
Robust Online Prediction of Spectrum Map With Incomplete and Corrupted Observations.
IEEE Trans. Mob. Comput., 2022

2021
Deep Learning for Spectrum Prediction From Spatial-Temporal-Spectral Data.
IEEE Commun. Lett., 2021

Computing the Rate-Distortion Function of Bivariate Gaussian Gray-Wyner Networks.
Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

2020
Computing the Rate-Distortion Function of Gray-Wyner System.
CoRR, 2020

Recovering Missing Values From Corrupted Historical Observations: Approaching the Limit of Predictability in Spectrum Prediction Tasks.
IEEE Access, 2020

Recovering Missing Values from Corrupted Historical Spectrum Observations for Dependable Spectrum Prediction.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020

2019
Hybrid cooperative spectrum sensing scheme based on spatial-temporal correlation in cognitive radio enabled VANET.
IET Commun., 2019

2018
A Hybrid Cooperative Spectrum Sensing Scheme Based on Spatial-Temporal Correlation for CR-VANET.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

Cooperative Spectrum Sensing Algorithm Based on Support Vector Machine against SSDF Attack.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

2017
Self-organizing map-based scheme against probabilistic SSDF attack in cognitive radio networks.
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

Two-Stage Credit Threshold on Cooperative Spectrum Sensing to Exclude Malicious Users in Mobile Cognitive Radio Networks.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

2016
Spectrum Sensing and the Utilization of Spectrum Opportunity Tradeoff in Cognitive Radio Network.
IEEE Commun. Lett., 2016


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