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ORCIDLianjun Li 0001
Person information
- affiliation: Virginia Tech, Department of Electrical and Computer Engineering, Blacksburg, VA, USA
- affiliation (former): University of Texas at Dallas, Department of Electrical and Computer Engineering, Richardson, TX, USA
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2020 – today
- 2025
[j9]Jiongyu Dai
, Lianjun Li, Ramin Safavinejad, Shadab Mahboob, Hao Chen, Vishnu V. Ratnam, Haining Wang, Jianzhong Zhang, Lingjia Liu:
O-RAN-Enabled Intelligent Network Slicing to Meet Service-Level Agreement (SLA). IEEE Trans. Mob. Comput. 24(2): 890-906 (2025)- 2024
- [j8]Jiarui Xu, Lianjun Li, Lizhong Zheng, Lingjia Liu:
Detect to Learn: Structure Learning With Attention and Decision Feedback for MIMO-OFDM Receive Processing. IEEE Trans. Commun. 72(1): 146-161 (2024) - 2023
- [b1]Lianjun Li:
Online Machine Learning for Wireless Communications: Channel Estimation, Receive Processing, and Resource Allocation. Virginia Tech, Blacksburg, VA, USA, 2023 - [j7]Lianjun Li, Jiarui Xu, Lizhong Zheng, Lingjia Liu:
Real-Time Machine Learning for Multi-User Massive MIMO: Symbol Detection Using Multi-Mode StructNet. IEEE Trans. Wirel. Commun. 22(12): 9172-9186 (2023) - 2022
- [j6]Lianjun Li, Lingjia Liu, Zhou Zhou, Yang Yi:
Reservoir Computing Meets Extreme Learning Machine in Real-Time MIMO-OFDM Receive Processing. IEEE Trans. Commun. 70(5): 3126-3140 (2022) - [j5]Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu:
RC-Struct: A Structure-Based Neural Network Approach for MIMO-OFDM Detection. IEEE Trans. Wirel. Commun. 21(9): 7181-7193 (2022) - [c8]Lianjun Li, Jiarui Xu, Lingjia Liu:
Real-Time Symbol Detection For Massive MIMO Systems With Multi-Mode Reservoir Computing. ICC 2022: 944-949 - [c7]Yibin Liang, Lianjun Li, Yang Yi, Lingjia Liu:
Real-time Machine Learning for Symbol Detection in MIMO-OFDM Systems. INFOCOM 2022: 2068-2077 - [i4]Jiarui Xu, Lianjun Li, Lizhong Zheng, Lingjia Liu:
Learn to Detect and Detect to Learn: Structure Learning and Decision Feedback for MIMO-OFDM Receive Processing. CoRR abs/2208.09287 (2022) - 2021
- [j4]Victor M. Gan, Yibin Liang, Lianjun Li, Lingjia Liu, Yang Yi:
A Cost-Efficient Digital ESN Architecture on FPGA for OFDM Symbol Detection. ACM J. Emerg. Technol. Comput. Syst. 17(4): 47:1-47:15 (2021) - [c6]Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu:
RC-Struct: Reservoir Computing Meets Knowledge of Structure in MIMO-OFDM. GLOBECOM (Workshops) 2021: 1-5 - [i3]Yuan Tian, Lianjun Li, Andrea Fumagalli, Yonas Tanesse, Balakrishnan Prabhakaran:
Haptic-enabled Mixed Reality System for Mixed-initiative Remote Robot Control. CoRR abs/2102.03521 (2021) - [i2]Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu:
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection. CoRR abs/2110.02219 (2021) - 2020
- [j3]Lianjun Li, Lingjia Liu, Jianan Bai, Hao-Hsuan Chang, Hao Chen, Jonathan D. Ashdown, Jianzhong Zhang, Yang Yi:
Accelerating Model-Free Reinforcement Learning With Imperfect Model Knowledge in Dynamic Spectrum Access. IEEE Internet Things J. 7(8): 7517-7528 (2020) - [j2]Lianjun Li, Hao Chen, Hao-Hsuan Chang, Lingjia Liu:
Deep Residual Learning Meets OFDM Channel Estimation. IEEE Wirel. Commun. Lett. 9(5): 615-618 (2020) - [c5]Qiang Fan, Jianan Bai, Hao-Hsuan Chang, Lianjun Li, Shiya Liu, Joe Huang, John Burgess, Allan Berlinsky, Alex Pidwerbetsky, Jonathan D. Ashdown, Kurt A. Turck, Lingjia Liu:
Intelligent DSA-assisted clustered IoT networks: neuromorphic computing meets genetic algorithm. NANOCOM 2020: 24:1-24:6 - [c4]Lianjun Li, Lingjia Liu, Jianzhong Charlie Zhang, Jonathan D. Ashdown, Yang Yi:
Reservoir Computing Meets Wi-Fi in Software Radios: Neural Network-based Symbol Detection using Training Sequences and Pilots. WOCC 2020: 1-6 - [i1]Shashank Jere, Qiang Fan, Bodong Shang, Lianjun Li, Lingjia Liu:
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G. CoRR abs/2007.08030 (2020)
2010 – 2019
- 2019
- [j1]Lianjun Li, Yizhe Zhang, Michael Ripperger, Jorge Nicho, Malathi Veeraraghavan, Andrea Fumagalli:
Autonomous Object Pick-and-Sort Procedure for Industrial Robotics Application. Int. J. Semantic Comput. 13(2): 161-183 (2019) - [c3]Anique Akhtar, Junchao Ma, Rubayet Shafin Bradley Shafin, Jianan Bai, Lianjun Li, Zhu Li, Lingjia Liu:
Low Latency Scalable Point Cloud Communication in VANETs using V2I Communication. ICC 2019: 1-7 - [c2]Yizhe Zhang, Lianjun Li, Jorge Nicho, Michael Ripperger, Andrea Fumagalli, Malathi Veeraraghavan:
Gilbreth 2.0: An Industrial Cloud Robotics Pick-and-Sort Application. IRC 2019: 38-45 - 2018
- [c1]Yizhe Zhang, Lianjun Li, Michael Ripperger, Jorge Nicho, Malathi Veeraraghavan, Andrea Fumagalli:
Gilbreth: A Conveyor-Belt Based Pick-and-Sort Industrial Robotics Application. IRC 2018: 17-24
Coauthor Index
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