Jun Li

Orcid: 0000-0001-5099-3475

Affiliations:
  • Qilu University of Technology (Shandong Academy of Sciences), School of Electrical Engineering and Automation, Jinan, China
  • Beijing University of Posts and Telecommunications, China (PhD 2011)


According to our database1, Jun Li authored at least 14 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Task Offloading Optimization in UAV-Assisted Mobile Edge Computing for Far-Sea Communications.
Proceedings of the 2026 International Conference on Communication Networks and Machine Learning (CNML), Chongqing, China, January 30, 2026

2024
Reliable communication based on energy spreading transform and iterative detection in MIMO-OFDM systems.
IET Commun., August, 2024

Multi-Time-Scale Optimal Scheduling Strategy for Marine Renewable Energy Based on Deep Reinforcement Learning Algorithm.
Entropy, April, 2024

NBNet-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems.
Proceedings of the 8th International Conference on Digital Signal Processing, 2024

Wireless Channel Estimation based on Transformer and Super-Resolution.
Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning, 2024

2023
Deep Learning-Assisted OFDM Channel Estimation and Signal Detection Technology.
IEEE Commun. Lett., May, 2023

Channel Estimation for Millimeter-Wave Massive MIMO Systems Based On Fast and Flexible Denoising Network.
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

2022
Research on Multi-Terminal's AC Offloading Scheme and Multi-Server's AC Selection Scheme in IoT.
Entropy, 2022

Model-Driven Enhanced Analytic Learned Iterative Shrinkage Threshold Algorithm.
IEEE Access, 2022

IQ Symbols Processing Schemes With LSTMs in OFDM System.
IEEE Access, 2022

A Model-driven Deep Learning Signal Processing Scheme for OFDM System.
Proceedings of the IVSP 2022: 4th International Conference on Image, Video and Signal Processing, Singapore, March 18, 2022

2020
A Cognitive Radio Spectrum Sensing Method for an OFDM Signal Based on Deep Learning and Cycle Spectrum.
Int. J. Digit. Multim. Broadcast., 2020

A Novel Signal Detection Scheme Based on Adaptive Ensemble Deep Learning Algorithm in SC-FDE Systems.
IEEE Access, 2020

Model-Driven Deep Learning Scheme for Adaptive Transmission in MIMO-SCFDE System.
IEEE Access, 2020


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