Zhou Zhou
Zhou Zhou
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Title
Cited by
Cited by
Year
Low-rank tensor decomposition-aided channel estimation for millimeter wave MIMO-OFDM systems
Z Zhou, J Fang, L Yang, H Li, Z Chen, RS Blum
IEEE Journal on Selected Areas in Communications 35 (7), 1524-1538, 2017
1322017
Channel estimation for millimeter-wave multiuser MIMO systems via PARAFAC decomposition
Z Zhou, J Fang, L Yang, H Li, Z Chen, S Li
IEEE Transactions on Wireless Communications 15 (11), 7501-7516, 2016
762016
Spherical wave channel and analysis for large linear array in LoS conditions
Z Zhou, X Gao, J Fang, Z Chen
2015 IEEE Globecom Workshops (GC Wkshps), 1-6, 2015
302015
Learning for Detection: MIMO-OFDM Symbol Detection through Downlink Pilots
Z Zhou, L Liu, HH Chang
IEEE Transactions on Wireless Communications 19 (6), 3712 - 3726, 2020
152020
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection
Z Zhou, L Liu, V Chandrasekhar, J Zhang, Y Yi
AAAI-2020 Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
152020
Bayesian compressive sensing using normal product priors
Z Zhou, K Liu, J Fang
IEEE Signal Processing Letters 22 (5), 583-587, 2014
152014
Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network
K Bai, Y Yi, Z Zhou, S Jere, L Liu
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2020
92020
FD-MIMO via Pilot-Data Superposition:Tensor-based DOA Estimation and System Performance
Z Zhou, L Liu, J Zhang
IEEE Journal of Selected Topics in Signal Processing 13 (5), 931-946, 2019
92019
Downlink channel estimation and precoding for FDD 3D Massive MIMO/FD-MIMO systems
H Almosa, R Shafin, S Mosleh, Z Zhou, Y Li, J Zhang, L Liu
2017 26th Wireless and Optical Communication Conference (WOCC), 1-4, 2017
72017
CogRF: A new frontier for machine learning and artificial intelligence for 6G RF systems
T Cousik, R Shafin, Z Zhou, K Kleine, J Reed, L Liu
arXiv preprint arXiv:1909.06862, 2019
52019
Compressive channel estimation for millimeter wave multiuser MIMO systems via pilot reuse
Q Wang, Z Zhou, J Fang, Z Chen
2016 8th International Conference on Wireless Communications & Signal …, 2016
52016
RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training
Z Zhou, L Liu, S Jere, JC Zhang, Y Yi
arXiv preprint arXiv:2003.06923, 2020
42020
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training
Z Zhou, S Jere, L Zheng, L Liu
NeurIPS 2020 Workshop on Learning Meets Combinatorial Algorithms, 2020
32020
Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection
Z Zhou, S Jere, L Zheng, L Liu
2020 IEEE Asilomar Conference on Signals, Systems, and Computers, 2020
22020
Detection through deep neural networks: a reservoir computing approach for mimo-ofdm symbol detection
K Bai, L Liu, Z Zhou, Y Yi
2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2020
22020
RCNet: Incorporating Structural Information into Deep RNN for Online MIMO-OFDM Symbol Detection with Limited Training
Z Zhou, L Liu, S Jere, J Zhang, Y Yi
IEEE Transactions on Wireless Communications, 2021
12021
The Novel Applications of Deep Reservoir Computing in Cyber-Security and Wireless Communication
K Hamedani, Z Zhou, K Bai, L Liu
IntechOpen, 2019
12019
Channel estimation for millimeter wave MIMO systems over frequency selective channels via PARAFAC decomposition
Z Zhou, J Fang, H Li, RS Blum
2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-6, 2017
12017
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection
J Xu, Z Zhou, L Li, L Zheng, L Liu
arXiv preprint arXiv:2110.02219, 2021
2021
Learning to Equalize OTFS
Z Zhou, L Liu, J Xu, R Calderbank
arXiv preprint arXiv:2107.08236, 2021
2021
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