Xingyu Zhou

34 papers B 3Journal 28Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Semantic Speech Transmission for High-Speed Scenarios.
IEEE Trans. Wirel. Commun.
Fangyu Liu, Peiwen Jiang, Wenjin Wang, Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin
2026 J jnl
Improving Channel Estimation via Multimodal Diffusion Models with Flow Matching.
CoRR
Xiaotian Fan, Xingyu Zhou, Le Liang, Xiao Li, Shi Jin
2026 J jnl
Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation.
IEEE Trans. Wirel. Commun.
Xinjie Li, Xingyu Zhou, Yixiao Cao, Jing Zhang, Chao-Kai Wen, Xiao Li, Shi Jin
2026 J jnl
Robust MIMO Channel Estimation Using Energy-Based Generative Diffusion Models.
IEEE Wirel. Commun. Lett.
Ziqi Diao, Xingyu Zhou, Le Liang, Shi Jin
2026 J jnl
Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systems.
IEEE Trans. Cogn. Commun. Netw.
Yu Ma, Xingyu Zhou, Xiao Li, Le Liang, Shi Jin
2025 J jnl
A Wireless Foundation Model for Multi-Task Prediction.
CoRR
Yucheng Sheng, Jiacheng Wang, Xingyu Zhou, Le Liang, Hao Ye, Shi Jin, Geoffrey Ye Li
2025 B conf
AI-Driven Iterative Receiver for Superimposed Pilot Schemes in MIMO-OFDM Systems.
WCNC
Xinjie Li, Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin
2025 J jnl
Conditional Diffusion Model-Enabled Scenario-Specific Neural Receivers for Superimposed Pilot Schemes.
CoRR
Xingyu Zhou, Le Liang, Xinjie Li, Jing Zhang, Peiwen Jiang, Xiao Li, Shi Jin
2025 J jnl
Generative Diffusion Models for High Dimensional Channel Estimation.
IEEE Trans. Wirel. Commun.
Xingyu Zhou, Le Liang, Jing Zhang, Peiwen Jiang, Yong Li, Shi Jin
2025 J jnl
Hypernetwork-Enhanced GEPNet for MIMO-OFDM Receiver With Imperfect CSI.
IEEE Wirel. Commun. Lett.
Xinjie Li, Jing Zhang, Xingyu Zhou, Yong Li, Shi Jin
2025 J jnl
Joint Channel Estimation and Signal Detection for MIMO-OFDM: A Novel Data-Aided Approach With Reduced Computational Overhead.
IEEE Trans. Commun.
Xinjie Li, Jing Zhang, Xingyu Zhou, Chao-Kai Wen, Shi Jin
2025 J jnl
Joint Channel Estimation and Signal Detection for MIMO-OFDM: A Novel Data-Aided Approach with Reduced Computational Overhead.
CoRR
Xinjie Li, Jing Zhang, Xingyu Zhou, Chao-Kai Wen, Shi Jin
2025 J jnl
Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation.
CoRR
Xinjie Li, Xingyu Zhou, Yixiao Cao, Jing Zhang, Chao-Kai Wen, Xiao Li, Shi Jin
2025 J jnl
Low-Complexity MIMO Channel Estimation with Latent Diffusion Models.
CoRR
Xiaotian Fan, Xingyu Zhou, Le Liang, Shi Jin
2025 B conf
MCMC-Based Sparse Bayesian Learning for Channel Estimation Using Gaussian Mixture Models.
WCNC
Xiaotian Fan, Xingyu Zhou, Hao Ye, Le Liang, Shi Jin
2025 J jnl
Mini-Batch Gradient-Based MCMC for Decentralized Massive MIMO Detection.
IEEE Trans. Commun.
Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin
2025 J jnl
Near-Optimal MIMO Detection Using Gradient-Based MCMC in Discrete Spaces.
IEEE Trans. Signal Process.
Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin
2025 J jnl
Next-Generation AI-Native Wireless Communications: MCMC-Based Receiver Architectures for Unified Processing.
CoRR
Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin
2025 J jnl
Reducing Pilots in Channel Estimation With Predictive Foundation Models.
CoRR
Xingyu Zhou, Le Liang, Hao Ye, Jing Zhang, Chao-Kai Wen, Shi Jin
2025 J jnl
Robust MIMO Channel Estimation Using Energy-Based Generative Diffusion Models.
CoRR
Ziqi Diao, Xingyu Zhou, Le Liang, Shi Jin
2025 J jnl
Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systems.
CoRR
Yu Ma, Xingyu Zhou, Xiao Li, Le Liang, Shi Jin
2024 — conf
Decentralized Massive MIMO Detection Using Mini-Batch Gradient-Based MCMC.
SPAWC
Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin
2024 J jnl
Generative Diffusion Models for High Dimensional Channel Estimation.
CoRR
Xingyu Zhou, Le Liang, Jing Zhang, Peiwen Jiang, Yong Li, Shi Jin
2024 J jnl
Gradient-Based Markov Chain Monte Carlo for MIMO Detection.
IEEE Trans. Wirel. Commun.
Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin
2024 J jnl
Mini-Batch Gradient-Based MCMC for Decentralized Massive MIMO Detection.
CoRR
Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin
2024 J jnl
Near-Optimal MIMO Detection Using Gradient-Based MCMC in Discrete Spaces.
CoRR
Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin
2023 J jnl
Gradient-Based Markov Chain Monte Carlo for MIMO Detection.
CoRR
Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin
2023 J jnl
Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers.
CoRR
Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin, Shuangfeng Han
2023 J jnl
Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers.
IEEE Trans. Signal Process.
Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin, Shuangfeng Han
2023 B conf
MIMO Detection Using Gradient-Based Markov Chain Monte Carlo Methods.
GLOBECOM
Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin
2022 — conf
Extrinsic Graph Neural Network - Aided Expectation Propagation for Turbo-MIMO Receiver.
ISWCS
Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Shi Jin
2022 J jnl
Model-Driven Deep Learning-Based MIMO-OFDM Detector: Design, Simulation, and Experimental Results.
CoRR
Xingyu Zhou, Jing Zhang, Chen-Wei Syu, Chao-Kai Wen, Jun Zhang, Shi Jin
2022 J jnl
Model-Driven Deep Learning-Based MIMO-OFDM Detector: Design, Simulation, and Experimental Results.
IEEE Trans. Commun.
Xingyu Zhou, Jing Zhang, Chen-Wei Syu, Chao-Kai Wen, Jun Zhang, Shi Jin
2021 — conf
Model-Driven Deep Learning-Based Signal Detector for CP-Free MIMO-OFDM Systems.
ICC Workshops
Xingyu Zhou, Jing Zhang, Chao-Kai Wen, Jun Zhang, Shi Jin