Lianjun Li

Orcid: 0000-0002-1813-7764

Affiliations:
  • Virginia Tech, Department of Electrical and Computer Engineering, Blacksburg, VA, USA
  • University of Texas at Dallas, Department of Electrical and Computer Engineering, Richardson, TX, USA (former)


According to our database1, Lianjun Li authored at least 19 papers between 2018 and 2024.

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

2024
Detect to Learn: Structure Learning With Attention and Decision Feedback for MIMO-OFDM Receive Processing.
IEEE Trans. Commun., January, 2024

2023
Real-Time Machine Learning for Multi-User Massive MIMO: Symbol Detection Using Multi-Mode StructNet.
IEEE Trans. Wirel. Commun., December, 2023

2022
RC-Struct: A Structure-Based Neural Network Approach for MIMO-OFDM Detection.
IEEE Trans. Wirel. Commun., 2022

Reservoir Computing Meets Extreme Learning Machine in Real-Time MIMO-OFDM Receive Processing.
IEEE Trans. Commun., 2022

Learn to Detect and Detect to Learn: Structure Learning and Decision Feedback for MIMO-OFDM Receive Processing.
CoRR, 2022

Real-time Machine Learning for Symbol Detection in MIMO-OFDM Systems.
Proceedings of the IEEE INFOCOM 2022, 2022

Real-Time Symbol Detection For Massive MIMO Systems With Multi-Mode Reservoir Computing.
Proceedings of the IEEE International Conference on Communications, 2022

2021
A Cost-Efficient Digital ESN Architecture on FPGA for OFDM Symbol Detection.
ACM J. Emerg. Technol. Comput. Syst., 2021

Haptic-enabled Mixed Reality System for Mixed-initiative Remote Robot Control.
CoRR, 2021

RC-Struct: Reservoir Computing Meets Knowledge of Structure in MIMO-OFDM.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020
Deep Residual Learning Meets OFDM Channel Estimation.
IEEE Wirel. Commun. Lett., 2020

Accelerating Model-Free Reinforcement Learning With Imperfect Model Knowledge in Dynamic Spectrum Access.
IEEE Internet Things J., 2020

Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G.
CoRR, 2020

Reservoir Computing Meets Wi-Fi in Software Radios: Neural Network-based Symbol Detection using Training Sequences and Pilots.
Proceedings of the 29th Wireless and Optical Communications Conference, 2020

Intelligent DSA-assisted clustered IoT networks: neuromorphic computing meets genetic algorithm.
Proceedings of the NANOCOM '20: The Seventh Annual ACM International Conference on Nanoscale Computing and Communication, 2020

2019
Autonomous Object Pick-and-Sort Procedure for Industrial Robotics Application.
Int. J. Semantic Comput., 2019

Gilbreth 2.0: An Industrial Cloud Robotics Pick-and-Sort Application.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Low Latency Scalable Point Cloud Communication in VANETs using V2I Communication.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Gilbreth: A Conveyor-Belt Based Pick-and-Sort Industrial Robotics Application.
Proceedings of the Second IEEE International Conference on Robotic Computing, 2018


  Loading...