Xingyu Zhou

According to our database, Xingyu Zhou authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Generative Diffusion Models for High Dimensional Channel Estimation.

Xingyu Zhou, Le Liang, Jing Zhang, Peiwen Jiang, Yong Li, Shi Jin

IEEE Trans. Wirel. Commun., July, 2025

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

Xinjie Li, Xingyu Zhou, Yixiao Cao, Jing Zhang, Chao-Kai Wen, Xiao Li, Shi Jin

CoRR, July, 2025

A Wireless Foundation Model for Multi-Task Prediction.

Yucheng Sheng, Jiacheng Wang, Xingyu Zhou, Le Liang, Hao Ye, Shi Jin, Geoffrey Ye Li

CoRR, July, 2025

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

Yu Ma, Xingyu Zhou, Xiao Li, Le Liang, Shi Jin

CoRR, June, 2025

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

Xinjie Li, Jing Zhang, Xingyu Zhou, Chao-Kai Wen, Shi Jin

CoRR, April, 2025

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

Xinjie Li, Jing Zhang, Xingyu Zhou, Yong Li, Shi Jin

IEEE Wirel. Commun. Lett., February, 2025

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

Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin

IEEE Trans. Commun., January, 2025

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

Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin

IEEE Trans. Signal Process., 2025

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

Xinjie Li, Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin

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

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

Xiaotian Fan, Xingyu Zhou, Hao Ye, Le Liang, Shi Jin

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

2024

Gradient-Based Markov Chain Monte Carlo for MIMO Detection.

Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin

IEEE Trans. Wirel. Commun., July, 2024

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

Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin

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.

Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin, Shuangfeng Han

IEEE Trans. Signal Process., 2023

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

Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin

Proceedings of the IEEE Global Communications Conference, 2023

2022

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

Xingyu Zhou, Jing Zhang, Chen-Wei Syu, Chao-Kai Wen, Jun Zhang, Shi Jin

IEEE Trans. Commun., 2022

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

Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin

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.

Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Jun Zhang, Shi Jin

Proceedings of the IEEE International Conference on Communications Workshops, 2021