Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO with Arbitrary Array Geometry. - Hang Liu 007; Xiaojun Yuan 002; Ying-Jun Angela Zhang (CoRR, 2018)

Beam-Selection-Based Statistical Beamforming for FDD Massive MIMO: Exploiting Spatial Reciprocity. - Hang Liu 007; Xiaojun Yuan 002; Ying Jun Zhang (GLOBECOM, 2019)

Message-Passing Based Blind Signal Detection for Massive MIMO with General Antenna Arrays. - Hang Liu 007; Xiaojun Yuan 002; Ying-Jun Angela Zhang (ICC, 2019)

Sparsity Learning Based Blind Signal Detection for Massive MIMO with Generalized Spatial Modulation. - Xiaoyan Kuai; Xiaojun Yuan 002; Wenjing Yan; Hang Liu 007; Ying-Jun Angela Zhang (ICCC, 2019)

Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO With One-Dimensional Antenna Array. - Hang Liu 007; Xiaojun Yuan 002; Ying Jun Zhang (IEEE Trans. Signal Process., 2019)

Message-Passing Based Channel Estimation for Reconfigurable Intelligent Surface Assisted MIMO. - Hang Liu 007; Xiaojun Yuan 002; Ying-Jun Angela Zhang (ISIT, 2020)

Reconfigurable-Intelligent-Surface Empowered 6G Wireless Communications: Challenges and Opportunities. - Xiaojun Yuan 002; Ying Jun Zhang; Yuanming Shi; Wenjing Yan; Hang Liu 007 (CoRR, 2020)

Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO. - Hang Liu 007; Xiaojun Yuan 002; Ying-Jun Angela Zhang (IEEE J. Sel. Areas Commun., 2020)

Double-Sparsity Learning-Based Channel-and-Signal Estimation in Massive MIMO With Generalized Spatial Modulation. - Xiaoyan Kuai; Xiaojun Yuan 002; Wenjing Yan; Hang Liu 007; Ying Jun Zhang (IEEE Trans. Commun., 2020)

Statistical Beamforming for FDD Downlink Massive MIMO via Spatial Information Extraction and Beam Selection. - Hang Liu 007; Xiaojun Yuan 002; Ying Jun Zhang (IEEE Trans. Wirel. Commun., 2020)

Relay-Assisted Over-the-Air Federated Learning. - Zehong Lin; Hang Liu 007; Ying-Jun Angela Zhang (GLOBECOM (Workshops), 2021)

Joint Communication-Learning Design for RIS-Assisted Federated Learning. - Hang Liu 007; Xiaojun Yuan 002; Ying-Jun Angela Zhang (ICC Workshops, 2021)

Semi-Blind Channel Estimation for RIS-Aided Massive MIMO: A Trilinear AMP Approach. - Zhen-Qing He; Hang Liu 007; Xiaojun Yuan 002; Ying-Jun Angela Zhang; Ying-Chang Liang (ISIT, 2021)

Semi-Blind Cascaded Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO. - Zhen-Qing He; Hang Liu 007; Xiaojun Yuan 002; Ying-Jun Angela Zhang; Ying-Chang Liang (CoRR, 2021)

CSIT-Free Federated Edge Learning via Reconfigurable Intelligent Surface. - Hang Liu 007; Xiaojun Yuan 002; Ying-Jun Angela Zhang (CoRR, 2021)

Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach. - Hang Liu 007; Xiaojun Yuan 002; Ying-Jun Angela Zhang (IEEE Trans. Wirel. Commun., 2021)

Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities. - Xiaojun Yuan 002; Ying-Jun Angela Zhang; Yuanming Shi; Wenjing Yan; Hang Liu 007 (IEEE Wirel. Commun., 2021)

CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface. - Hang Liu 007; Xiaojun Yuan 002; Ying-Jun Angela Zhang (IEEE Wirel. Commun. Lett., 2021)

Relay-Assisted Cooperative Federated Learning. - Zehong Lin; Hang Liu 007; Ying-Jun Angela Zhang (IEEE Trans. Wirel. Commun., 2022)

Solutions of the Graph Matching Problem Using Graph Signals. - Hang Liu 007; Anna Scaglione; Hoi-To Wai (CAMSAP, 2023)

On the Privacy Leakage of Over-the-Air Federated Learning Over MIMO Fading Channels. - Hang Liu 007; Jia Yan; Ying-Jun Angela Zhang (GLOBECOM, 2023)

MALCOM-PSGD: Inexact Proximal Stochastic Gradient Descent for Communication-Efficient Decentralized Machine Learning. - Andrew Campbell; Hang Liu 007; Leah Woldemariam; Anna Scaglione (CoRR, 2023)

CFLIT: Coexisting Federated Learning and Information Transfer. - Zehong Lin; Hang Liu 007; Ying-Jun Angela Zhang (IEEE Trans. Wirel. Commun., 2023)

Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning. - Hang Liu 007; Zehong Lin; Xiaojun Yuan 002; Ying-Jun Angela Zhang (IEEE Wirel. Commun., 2023)

Privacy Leakage In Graph Signal To Graph Matching Problems. - Hang Liu 007; Anna Scaglione; Sean Peisert (ICASSP, 2024)

Low-Complexity Vector Source Coding for Discrete Long Sequences with Unknown Distributions. - Leah Woldemariam; Hang Liu 007; Anna Scaglione (ICASSP, 2024)

A Federated Learning Approach for Graph Convolutional Neural Networks. - Andrew Campbell; Hang Liu 007; Anna Scaglione; Tong Wu 002 (SAM, 2024)

Shuffled Linear Regression via Spectral Matching. - Hang Liu 007; Anna Scaglione (CoRR, 2024)

Graph-Signal-to-Graph Matching for Network De-Anonymization Attacks. - Hang Liu 007; Anna Scaglione; Sean Peisert (IEEE Trans. Inf. Forensics Secur., 2024)

Blind Graph Matching Using Graph Signals. - Hang Liu 007; Anna Scaglione; Hoi-To Wai (IEEE Trans. Signal Process., 2024)

Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels. - Hang Liu 007; Jia Yan; Ying-Jun Angela Zhang (IEEE Trans. Wirel. Commun., 2024)

Differentially Private Distribution Release of Gaussian Mixture Models via KL-Divergence Minimization. - Hang Liu 007; Anna Scaglione; Sean Peisert (CoRR, 2025)

A Two-Timescale Approach for Wireless Federated Learning With Parameter Freezing and Power Control. - Jinhao Ouyang; Yuan Liu 001; Hang Liu 007 (IEEE Trans. Mob. Comput., 2025)