Xingyu Zhou

Orcid: 0000-0002-4439-7658

Affiliations:

Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, China

According to our database¹, Xingyu Zhou authored at least 24 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2026

Improving Channel Estimation via Multimodal Diffusion Models with Flow Matching.

[BibT_eX]

[DOI]

CoRR, March, 2026

Robust MIMO Channel Estimation Using Energy-Based Generative Diffusion Models.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2026

Adaptive Semantic Speech Transmission for High-Speed Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2026

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2026

Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systems.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2026

2025

Reducing Pilots in Channel Estimation With Predictive Foundation Models.

[BibT_eX]

[DOI]

CoRR, December, 2025

Joint Channel Estimation and Signal Detection for MIMO-OFDM: A Novel Data-Aided Approach With Reduced Computational Overhead.

[BibT_eX]

[DOI]

IEEE Trans. Commun., November, 2025

Conditional Diffusion Model-Enabled Scenario-Specific Neural Receivers for Superimposed Pilot Schemes.

[BibT_eX]

[DOI]

CoRR, November, 2025

Low-Complexity MIMO Channel Estimation with Latent Diffusion Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

Next-Generation AI-Native Wireless Communications: MCMC-Based Receiver Architectures for Unified Processing.

[BibT_eX]

[DOI]

CoRR, October, 2025

Generative Diffusion Models for High Dimensional Channel Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., July, 2025

A Wireless Foundation Model for Multi-Task Prediction.

[BibT_eX]

[DOI]

CoRR, July, 2025

Hypernetwork-Enhanced GEPNet for MIMO-OFDM Receiver With Imperfect CSI.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., February, 2025

Mini-Batch Gradient-Based MCMC for Decentralized Massive MIMO Detection.

[BibT_eX]

[DOI]

IEEE Trans. Commun., January, 2025

Near-Optimal MIMO Detection Using Gradient-Based MCMC in Discrete Spaces.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2025

AI-Driven Iterative Receiver for Superimposed Pilot Schemes in MIMO-OFDM Systems.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

MCMC-Based Sparse Bayesian Learning for Channel Estimation Using Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

2024

Gradient-Based Markov Chain Monte Carlo for MIMO Detection.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., July, 2024

Decentralized Massive MIMO Detection Using Mini-Batch Gradient-Based MCMC.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

2023

Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

MIMO Detection Using Gradient-Based Markov Chain Monte Carlo Methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

Model-Driven Deep Learning-Based MIMO-OFDM Detector: Design, Simulation, and Experimental Results.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2022

Extrinsic Graph Neural Network - Aided Expectation Propagation for Turbo-MIMO Receiver.

[BibT_eX]

[DOI]

Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

2021

Model-Driven Deep Learning-Based Signal Detector for CP-Free MIMO-OFDM Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications Workshops, 2021

Xingyu Zhou

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