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Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.8414-8418

2019

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Model-Driven Deep Learning for MIMO Detection

IEEE transactions on signal processing, 2020, Vol.68, p.1702-1715

2020

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Model-Driven Deep Learning for Physical Layer Communications

IEEE wireless communications, 2019-10, Vol.26 (5), p.77-83

2019

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Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems

IEEE wireless communications letters, 2018-10, Vol.7 (5), p.852-855

2018

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Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs

IEEE journal of selected topics in signal processing, 2018-06, Vol.12 (3), p.469-483

2018

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Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems

IEEE transactions on wireless communications, 2024-05, Vol.23 (5), p.4709-4723

2024

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Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO

IEEE journal of selected topics in signal processing, 2024-06, p.1-16

2024

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Cell-Free Massive MIMO for 6G Wireless Communication Networks

Journal of communications and information networks, 2021-12, Vol.6 (4), p.321-335

2021

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Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach

IEEE transactions on wireless communications, 2023-03, Vol.22 (3), p.1-1

2023

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Generalized expectation consistent signal recovery for nonlinear measurements

2017 IEEE International Symposium on Information Theory (ISIT), 2017, p.2333-2337

2017

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An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation

IEEE journal of selected topics in signal processing, 2023-07, Vol.17 (4), p.1-16

2023

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Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection

IEEE wireless communications letters, 2024-07, Vol.13 (7), p.1913-1917

2024

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Model-Driven Deep Learning for Massive MU-MIMO With Finite-Alphabet Precoding

IEEE communications letters, 2020-10, Vol.24 (10), p.2216-2220

2020

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Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation

ICC 2023 - IEEE International Conference on Communications, 2023, p.2613-2618

2023

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Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments

ICC 2024 - IEEE International Conference on Communications, 2024, p.3592-3597

2024

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Model-Driven Deep Learning for Massive Multiuser MIMO Constant Envelope Precoding

IEEE wireless communications letters, 2020-11, Vol.9 (11), p.1835-1839

2020

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Newtonized Near-Field Channel Estimation for Ultra-Massive MIMO Systems

2024 IEEE Wireless Communications and Networking Conference (WCNC), 2024, p.1-6

2024

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Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing

2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 2023, p.1-6

2023

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A Model-Driven Deep Learning Network for MIMO Detection

2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018, p.584-588

2018

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Virtual exchanges in an inquiry-based learning environment: Effects on intra-cultural awareness and intercultural communicative competence

Cogent education, 2021-01, Vol.8 (1)

2021

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GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection

2023 IEEE Wireless Communications and Networking Conference (WCNC), 2023, p.1-6

2023

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Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems

2021 IEEE Global Communications Conference (GLOBECOM), 2021, p.1-6

2021

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Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks

GLOBECOM 2022 - 2022 IEEE Global Communications Conference, 2022, p.5384-5389

2022

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The Effect of Quantization in Federated Learning:A Rényi Differential Privacy Perspective

2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2024, p.233-238

2024

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Model-Driven Deep Learning for Distributed Detection in WSNs with Binary Quantization

2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2024, p.102-107

2024

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Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

Model-Driven Deep Learning for MIMO Detection

Model-Driven Deep Learning for Physical Layer Communications

Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems

Bayesian Optimal Data Detector for Hybrid mmWave MIMO-OFDM Systems With Low-Resolution ADCs

Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems

Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO

Cell-Free Massive MIMO for 6G Wireless Communication Networks

Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach

Generalized expectation consistent signal recovery for nonlinear measurements

An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation

Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection

Model-Driven Deep Learning for Massive MU-MIMO With Finite-Alphabet Precoding

Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation

Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments

Model-Driven Deep Learning for Massive Multiuser MIMO Constant Envelope Precoding

Newtonized Near-Field Channel Estimation for Ultra-Massive MIMO Systems

Opponent Modeling Based Dynamic Resource Trading for UAV-Assisted Edge Computing

A Model-Driven Deep Learning Network for MIMO Detection

Virtual exchanges in an inquiry-based learning environment: Effects on intra-cultural awareness and intercultural communicative competence

GNN-Enhanced Approximate Message Passing for Massive/Ultra-Massive MIMO Detection

Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems

Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks

The Effect of Quantization in Federated Learning:A Rényi Differential Privacy Perspective

Model-Driven Deep Learning for Distributed Detection in WSNs with Binary Quantization

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