Hengtao He

Orcid: 0000-0002-4659-6941

According to our database¹, Hengtao He authored at least 34 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks.

[BibT_eX]

[DOI]

Ying-Jun Angela Zhang

Khaled B. Letaief

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., July, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., March, 2023

Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

AI-Native Transceiver Design for Near-Field Ultra-Massive MIMO: Principles and Techniques.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

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

[BibT_eX]

[DOI]

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Resource Allocation for OTFS-Based ISAC Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

Graph Neural Network Enhanced Approximate Message Passing for MIMO Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Belief Propagation for Near-Field Cooperative Localization and Tracking in 6G Vehicular Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2022

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2022

2021

Cell-Free Massive MIMO for 6G Wireless Communication Networks.

[BibT_eX]

[DOI]

J. Commun. Inf. Networks, 2021

Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

Distributed Expectation Propagation Detection for Cell-Free Massive MIMO.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2020

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

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2020

Model-Driven Deep Learning for MIMO Detection.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

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

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2020

Beamspace Channel Estimation in Terahertz Communications: A Model-Driven Unsupervised Learning Approach.

[BibT_eX]

[DOI]

CoRR, 2020

Model-driven Deep Learning Based Turbo-MIMO Receiver.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

2019

Model-Driven Deep Learning for Physical Layer Communications.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2019

Model-Driven Deep Learning for Joint MIMO Channel Estimation and Signal Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Channel Estimation for Millimeter Wave Massive MIMO Systems with Low-Resolution ADCs.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

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

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2018

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

[BibT_eX]

[DOI]

Hengtao He

Chao-Kai Wen

Shi Jin

IEEE J. Sel. Top. Signal Process., 2018

A Model-Driven Deep Learning Network for MIMO Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Generalized expectation consistent signal recovery for nonlinear measurements.

[BibT_eX]

[DOI]

Hengtao He

Chao-Kai Wen

Shi Jin

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Hengtao He

Timeline

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On csauthors.net:

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