Model-Driven Deep Learning-Based Signal Detector for CP-Free MIMO-OFDM Systems. - Xingyu Zhou 011; Jing Zhang 031; Chao-Kai Wen; Jun Zhang 023; Shi Jin 002 (ICC Workshops, 2021)

Extrinsic Graph Neural Network - Aided Expectation Propagation for Turbo-MIMO Receiver. - Xingyu Zhou 011; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (ISWCS, 2022)

Model-Driven Deep Learning-Based MIMO-OFDM Detector: Design, Simulation, and Experimental Results. - Xingyu Zhou 011; Jing Zhang 031; Chen-Wei Syu; Chao-Kai Wen; Jun Zhang 023; Shi Jin 002 (IEEE Trans. Commun., 2022)

MIMO Detection Using Gradient-Based Markov Chain Monte Carlo Methods. - Xingyu Zhou 011; Le Liang; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (GLOBECOM, 2023)

Graph Neural Network-Enhanced Expectation Propagation Algorithm for MIMO Turbo Receivers. - Xingyu Zhou 011; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002; Shuangfeng Han (IEEE Trans. Signal Process., 2023)

Decentralized Massive MIMO Detection Using Mini-Batch Gradient-Based MCMC. - Xingyu Zhou 011; Le Liang; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (SPAWC, 2024)

Gradient-Based Markov Chain Monte Carlo for MIMO Detection. - Xingyu Zhou 011; Le Liang; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (IEEE Trans. Wirel. Commun., 2024)

MCMC-Based Sparse Bayesian Learning for Channel Estimation Using Gaussian Mixture Models. - Xiaotian Fan; Xingyu Zhou 011; Hao Ye 004; Le Liang; Shi Jin 002 (WCNC, 2025)

AI-Driven Iterative Receiver for Superimposed Pilot Schemes in MIMO-OFDM Systems. - Xinjie Li; Xingyu Zhou 011; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (WCNC, 2025)

Near-Optimal MIMO Detection Using Gradient-Based MCMC in Discrete Spaces. - Xingyu Zhou 011; Le Liang; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (IEEE Trans. Signal Process., 2025)

Mini-Batch Gradient-Based MCMC for Decentralized Massive MIMO Detection. - Xingyu Zhou 011; Le Liang; Jing Zhang 031; Chao-Kai Wen; Shi Jin 002 (IEEE Trans. Commun., 2025)

Hypernetwork-Enhanced GEPNet for MIMO-OFDM Receiver With Imperfect CSI. - Xinjie Li; Jing Zhang 031; Xingyu Zhou 011; Yong Li; Shi Jin 002 (IEEE Wirel. Commun. Lett., 2025)

Joint Channel Estimation and Signal Detection for MIMO-OFDM: A Novel Data-Aided Approach with Reduced Computational Overhead. - Xinjie Li; Jing Zhang 031; Xingyu Zhou 011; Chao-Kai Wen; Shi Jin 002 (CoRR, 2025)

Unsupervised Learning-Based Joint Resource Allocation and Beamforming Design for RIS-Assisted MISO-OFDMA Systems. - Yu Ma; Xingyu Zhou 011; Xiao Li 001; Le Liang; Shi Jin 002 (CoRR, 2025)

A Wireless Foundation Model for Multi-Task Prediction. - Yucheng Sheng; Jiacheng Wang 001; Xingyu Zhou 011; Le Liang; Hao Ye 004; Shi Jin 002; Geoffrey Ye Li (CoRR, 2025)

Learning-Aided Iterative Receiver for Superimposed Pilots: Design and Experimental Evaluation. - Xinjie Li; Xingyu Zhou 011; Yixiao Cao; Jing Zhang 031; Chao-Kai Wen; Xiao Li 001; Shi Jin 002 (CoRR, 2025)

Generative Diffusion Models for High Dimensional Channel Estimation. - Xingyu Zhou 011; Le Liang; Jing Zhang 031; Peiwen Jiang; Yong Li; Shi Jin 002 (IEEE Trans. Wirel. Commun., 2025)