Zhou Zhou

According to our database, Zhou Zhou authored at least 20 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Learning to Equalize OTFS.

Zhou Zhou, Lingjia Liu, Jiarui Xu, A. Robert Calderbank

IEEE Trans. Wirel. Commun., 2022

Harnessing Tensor Structures - Multi-Mode Reservoir Computing and Its Application in Massive MIMO.

Zhou Zhou, Lingjia Liu, Jiarui Xu

IEEE Trans. Wirel. Commun., 2022

RC-Struct: A Structure-Based Neural Network Approach for MIMO-OFDM Detection.

Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu

IEEE Trans. Wirel. Commun., 2022

Reservoir Computing Meets Extreme Learning Machine in Real-Time MIMO-OFDM Receive Processing.

Lianjun Li, Lingjia Liu, Zhou Zhou, Yang Yi

IEEE Trans. Commun., 2022

Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing.

Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu

IEEE Netw., 2022

2021

RCNet: Incorporating Structural Information Into Deep RNN for Online MIMO-OFDM Symbol Detection With Limited Training.

Zhou Zhou, Lingjia Liu, Shashank Jere, Jianzhong Zhang, Yang Yi

IEEE Trans. Wirel. Commun., 2021

Federated Dynamic Spectrum Access.

Yifei Song, Hao-Hsuan Chang, Zhou Zhou, Shashank Jere, Lingjia Liu

CoRR, 2021

RC-Struct: Reservoir Computing Meets Knowledge of Structure in MIMO-OFDM.

Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020

Learning for Detection: MIMO-OFDM Symbol Detection Through Downlink Pilots.

Zhou Zhou, Lingjia Liu, Hao-Hsuan Chang

IEEE Trans. Wirel. Commun., 2020

Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network.

Kangjun Bai, Yang Yi, Zhou Zhou, Shashank Jere, Lingjia Liu

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Pareto Deterministic Policy Gradients and Its Application in 5G Massive MIMO Networks.

Zhou Zhou, Yan Xin, Hao Chen, Charlie Zhang, Lingjia Liu

CoRR, 2020

Learning for Integer-Constrained Optimization through Neural Networks with Limited Training.

Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu

CoRR, 2020

RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training.

Zhou Zhou, Lingjia Liu, Shashank Jere, Jianzhong Zhang, Yang Yi

CoRR, 2020

Detection Through Deep Neural Networks: A Reservoir Computing Approach for MIMO-OFDM Symbol Detection.

Kangjun Bai, Lingjia Liu, Zhou Zhou, Yang Yi

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection.

Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection.

Zhou Zhou, Lingjia Liu, Vikram Chandrasekhar, Jianzhong Zhang, Yang Yi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

FD-MIMO via Pilot-Data Superposition: Tensor-Based DOA Estimation and System Performance.

Zhou Zhou, Lingjia Liu, Jianzhong Zhang

IEEE J. Sel. Top. Signal Process., 2019

CogRF: A New Frontier for Machine Learning and Artificial Intelligence for 6G RF Systems.

Tarun S. Cousik, Rubayet Shafin Bradley Shafin, Zhou Zhou, Kaleb Kleine, Jeffrey H. Reed, Lingjia Liu

CoRR, 2019

Learn to Demodulate: MIMO-OFDM Symbol Detection through Downlink Pilots.

Zhou Zhou, Lingjia Liu, Hao-Hsuan Chang

CoRR, 2019

2017

Downlink channel estimation and precoding for FDD 3D Massive MIMO/FD-MIMO systems.

Hayder Almosa, Rubayet Shafin Bradley Shafin, Susanna Mosleh, Zhou Zhou, Yi Li, Jianzhong Zhang, Lingjia Liu

Proceedings of the 26th Wireless and Optical Communication Conference, 2017