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20242026
most citedRobust Super-Resolution Compressive Sensing: A Two-timescale Alternating MAP Approach

1 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Message Passing Based Two-Timescale Bayesian Learning for Joint Channel and Memory Hardware Impairments Tracking

Wei Xu, An Liu

Hardware impairments in massive multiple-input multiple-output (MIMO) receivers introduce inter-symbol memory and inter-element coupling, severely degrading channel estimation. Thi…

cs.IT2025

Robust Beamforming for Multiuser MIMO Systems with Unknown Channel Statistics: A Hybrid Offline-Online Framework

Wenzhuo Zou, Ming-Min Zhao, An Liu +1

Robust beamforming design under imperfect channel state information (CSI) is a fundamental challenge in multiuser multiple-input multiple-output (MU-MIMO) systems, particularly whe…

eess.SP2025

Cross-Sparsity-Enabled Multipath Perception via Structured Bayesian Inference for Multi-Target Estimation

Xiang Chen, Ming-Min Zhao, An Liu +3

In this paper, we investigate a multi-target sensing system in multipath environment, where inter-target scattering gives rise to first-order reflected paths whose angles of depart…

eess.SP2025★ 1 cited

Robust Super-Resolution Compressive Sensing: A Two-timescale Alternating MAP Approach

Yufan Zhou, Jingyi Li, Wenkang Xu +1

The problem of super-resolution compressive sensing (SR-CS) is crucial for various wireless sensing and communication applications. Existing methods often suffer from limited resol…

eess.SP2025

Bilinear Subspace Variational Bayesian Inference for Joint Scattering Environment Sensing and Data Recovery in ISAC Systems

An Liu, Wenkang Xu, Wei Xu +1

This paper considers a joint scattering environment sensing and data recovery problem in an uplink integrated sensing and communication (ISAC) system. To facilitate joint scatterer…

eess.SP2024

Exploiting Dynamic Sparsity for Near-Field Spatial Non-Stationary XL-MIMO Channel Tracking

Wenkang Xu, An Liu, Min-jian Zhao +2

This work considers a spatial non-stationary channel tracking problem in broadband extremely large-scale multiple-input-multiple-output (XL-MIMO) systems. In the case of spatial no…

eess.SP2024

Subspace Constrained Variational Bayesian Inference for Structured Compressive Sensing with a Dynamic Grid

An Liu, Yufan Zhou, Wenkang Xu

We investigate the problem of recovering a structured sparse signal from a linear observation model with an uncertain dynamic grid in the sensing matrix. The state-of-the-art expec…

eess.SP2024★ 1 cited

Joint Visibility Region Detection and Channel Estimation for XL-MIMO Systems via Alternating MAP

Wenkang Xu, An Liu, Min-jian Zhao

We investigate a joint visibility region (VR) detection and channel estimation problem in extremely large-scale multiple-input-multiple-output (XL-MIMO) systems, where near-field p…