Lianjun Li

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 18

Top Topics

Reservoir Computing

Extreme Learning Machine

Subsumption Architecture

Top Venues

ACM J. Emerg. Technol. Comput. Syst.

Publications

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) (2022)
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) (2022)
Yibin Liang, Lianjun Li, Yang Yi, Lingjia Liu
Real-time Machine Learning for Symbol Detection in MIMO-OFDM Systems. INFOCOM (2022)
Lianjun Li, Jiarui Xu, Lingjia Liu
Real-Time Symbol Detection For Massive MIMO Systems With Multi-Mode Reservoir Computing. ICC (2022)
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 (2022)
Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu
RC-Struct: Reservoir Computing Meets Knowledge of Structure in MIMO-OFDM. GLOBECOM (Workshops) (2021)
Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection. CoRR (2021)
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) (2021)
Yuan Tian, Lianjun Li, Andrea Fumagalli, Yonas Tanesse, Balakrishnan Prabhakaran
Haptic-enabled Mixed Reality System for Mixed-initiative Remote Robot Control. CoRR (2021)
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)
Shashank Jere, Qiang Fan, Bodong Shang, Lianjun Li, Lingjia Liu
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G. CoRR (2020)
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) (2020)
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)
Lianjun Li, Hao Chen, Hao-Hsuan Chang, Lingjia Liu
Deep Residual Learning Meets OFDM Channel Estimation. IEEE Wirel. Commun. Lett. 9 (5) (2020)
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)
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) (2019)
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)
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)