Downlink channel estimation and precoding for FDD 3D Massive MIMO/FD-MIMO systems. - Hayder Almosa; Rubayet Shafin Bradley Shafin; Susanna Mosleh; Zhou Zhou 002; Yi Li 009; Jianzhong Zhang 002; Lingjia Liu 001 (WOCC, 2017)

Learn to Demodulate: MIMO-OFDM Symbol Detection through Downlink Pilots. - Zhou Zhou 002; Lingjia Liu 001; Hao-Hsuan Chang (CoRR, 2019)

CogRF: A New Frontier for Machine Learning and Artificial Intelligence for 6G RF Systems. - Tarun S. Cousik; Rubayet Shafin Bradley Shafin; Zhou Zhou 002; Kaleb Kleine; Jeffrey H. Reed; Lingjia Liu 001 (CoRR, 2019)

FD-MIMO via Pilot-Data Superposition: Tensor-Based DOA Estimation and System Performance. - Zhou Zhou 002; Lingjia Liu 001; Jianzhong Zhang 002 (IEEE J. Sel. Top. Signal Process., 2019)

Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection. - Zhou Zhou 002; Lingjia Liu 001; Vikram Chandrasekhar; Jianzhong Zhang 002; Yang Yi 002 (AAAI, 2020)

Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection. - Zhou Zhou 002; Shashank Jere; Lizhong Zheng; Lingjia Liu 001 (ACSSC, 2020)

Detection Through Deep Neural Networks: A Reservoir Computing Approach for MIMO-OFDM Symbol Detection. - Kangjun Bai; Lingjia Liu 001; Zhou Zhou 002; Yang Yi 002 (ICCAD, 2020)

RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training. - Zhou Zhou 002; Lingjia Liu 001; Shashank Jere; Jianzhong Zhang 002; Yang Yi 002 (CoRR, 2020)

Learning for Integer-Constrained Optimization through Neural Networks with Limited Training. - Zhou Zhou 002; Shashank Jere; Lizhong Zheng; Lingjia Liu 001 (CoRR, 2020)

Pareto Deterministic Policy Gradients and Its Application in 5G Massive MIMO Networks. - Zhou Zhou 002; Yan Xin; Hao Chen 010; Charlie Zhang 002; Lingjia Liu 001 (CoRR, 2020)

Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network. - Kangjun Bai; Yang Yi 002; Zhou Zhou 002; Shashank Jere; Lingjia Liu 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Learning for Detection: MIMO-OFDM Symbol Detection Through Downlink Pilots. - Zhou Zhou 002; Lingjia Liu 001; Hao-Hsuan Chang (IEEE Trans. Wirel. Commun., 2020)

RC-Struct: Reservoir Computing Meets Knowledge of Structure in MIMO-OFDM. - Jiarui Xu; Zhou Zhou 002; Lianjun Li 001; Lizhong Zheng; Lingjia Liu 001 (GLOBECOM (Workshops), 2021)

Federated Dynamic Spectrum Access. - Yifei Song; Hao-Hsuan Chang; Zhou Zhou 002; Shashank Jere; Lingjia Liu 001 (CoRR, 2021)

RCNet: Incorporating Structural Information Into Deep RNN for Online MIMO-OFDM Symbol Detection With Limited Training. - Zhou Zhou 002; Lingjia Liu 001; Shashank Jere; Jianzhong Zhang 002; Yang Yi 002 (IEEE Trans. Wirel. Commun., 2021)

Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing. - Zhou Zhou 002; Kangjun Bai; Nima Mohammadi; Yang Yi 002; Lingjia Liu 001 (IEEE Netw., 2022)

Reservoir Computing Meets Extreme Learning Machine in Real-Time MIMO-OFDM Receive Processing. - Lianjun Li 001; Lingjia Liu 001; Zhou Zhou 002; Yang Yi 002 (IEEE Trans. Commun., 2022)

RC-Struct: A Structure-Based Neural Network Approach for MIMO-OFDM Detection. - Jiarui Xu; Zhou Zhou 002; Lianjun Li 001; Lizhong Zheng; Lingjia Liu 001 (IEEE Trans. Wirel. Commun., 2022)

Harnessing Tensor Structures - Multi-Mode Reservoir Computing and Its Application in Massive MIMO. - Zhou Zhou 002; Lingjia Liu 001; Jiarui Xu (IEEE Trans. Wirel. Commun., 2022)

Learning to Equalize OTFS. - Zhou Zhou 002; Lingjia Liu 001; Jiarui Xu; A. Robert Calderbank (IEEE Trans. Wirel. Commun., 2022)