Hengyu Zhang

Orcid: 0009-0005-0413-9354

Affiliations:

Tsinghua University, Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Beijing, China

According to our database¹, Hengyu Zhang authored at least 11 papers between 2024 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Practical Deployment for Deep Learning-Based CSI Feedback Systems: Generalization Challenges and Enabling Techniques.

[BibT_eX]

[DOI]

IEEE Commun. Mag., March, 2026

2025

Energy Efficiency Optimization for Symbol-Level Precoding-Aided RSMA MIMO System.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., November, 2025

Leveraging Channel Knowledge Map for Multi-User Hierarchical Beam Training Under Position Uncertainty.

[BibT_eX]

[DOI]

CoRR, November, 2025

Closer Twins Model: Consistent Design of Modem Scheme and Channel Estimation Under High-Mobility Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., June, 2025

Flexible Delay-Doppler Domain Multiple Access for Massive Connectivity With High Mobility.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., June, 2025

Full-Phase-Range Acoustic RIS: Implementation and Beamforming Design.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2025

Beamforming-Codebook-Aware Channel Knowledge Map Construction for Multi-Antenna Systems.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024

Data Augmentation for Bridging the Delay Gap in DL-Based Massive MIMO CSI Feedback.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., May, 2024

Continuous Online Learning-Based CSI Feedback in Massive MIMO Systems.

[BibT_eX]

[DOI]

IEEE Commun. Lett., March, 2024

Universal Modem Generation with Inherent Adaptability to Variant Underwater Acoustic Channels: a Data-Driven Perspective.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024

Modem Optimization of High-Mobility Scenarios: A Deep-Learning-Inspired Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications Workshops, 2024

Hengyu Zhang

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Bibliography

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