Hang Liu

According to our database, Hang Liu authored at least 31 papers between 2018 and 2024.

Collaborative distances:

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

2024

Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels.

Hang Liu, Jia Yan, Ying-Jun Angela Zhang

IEEE Trans. Wirel. Commun., August, 2024

Blind Graph Matching Using Graph Signals.

Hang Liu, Anna Scaglione, Hoi-To Wai

IEEE Trans. Signal Process., 2024

Graph-Signal-to-Graph Matching for Network De-Anonymization Attacks.

Hang Liu, Anna Scaglione, Sean Peisert

IEEE Trans. Inf. Forensics Secur., 2024

Shuffled Linear Regression via Spectral Matching.

Hang Liu, Anna Scaglione

CoRR, 2024

A Federated Learning Approach for Graph Convolutional Neural Networks.

Andrew Campbell, Hang Liu, Anna Scaglione, Tong Wu

Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Low-Complexity Vector Source Coding for Discrete Long Sequences with Unknown Distributions.

Leah Woldemariam, Hang Liu, Anna Scaglione

Proceedings of the IEEE International Conference on Acoustics, 2024

Privacy Leakage In Graph Signal To Graph Matching Problems.

Hang Liu, Anna Scaglione, Sean Peisert

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning.

Hang Liu, Zehong Lin, Xiaojun Yuan, Ying-Jun Angela Zhang

IEEE Wirel. Commun., December, 2023

CFLIT: Coexisting Federated Learning and Information Transfer.

Zehong Lin, Hang Liu, Ying-Jun Angela Zhang

IEEE Trans. Wirel. Commun., November, 2023

MALCOM-PSGD: Inexact Proximal Stochastic Gradient Descent for Communication-Efficient Decentralized Machine Learning.

Andrew Campbell, Hang Liu, Leah Woldemariam, Anna Scaglione

CoRR, 2023

On the Privacy Leakage of Over-the-Air Federated Learning Over MIMO Fading Channels.

Hang Liu, Jia Yan, Ying-Jun Angela Zhang

Proceedings of the IEEE Global Communications Conference, 2023

Solutions of the Graph Matching Problem Using Graph Signals.

Hang Liu, Anna Scaglione, Hoi-To Wai

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Relay-Assisted Cooperative Federated Learning.

Zehong Lin, Hang Liu, Ying-Jun Angela Zhang

IEEE Trans. Wirel. Commun., 2022

2021

CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface.

Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang

IEEE Wirel. Commun. Lett., 2021

Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities.

Xiaojun Yuan, Ying-Jun Angela Zhang, Yuanming Shi, Wenjing Yan, Hang Liu

IEEE Wirel. Commun., 2021

Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach.

Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang

IEEE Trans. Wirel. Commun., 2021

CSIT-Free Federated Edge Learning via Reconfigurable Intelligent Surface.

Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang

CoRR, 2021

Semi-Blind Cascaded Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO.

Zhen-Qing He, Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang, Ying-Chang Liang

CoRR, 2021

Semi-Blind Channel Estimation for RIS-Aided Massive MIMO: A Trilinear AMP Approach.

Zhen-Qing He, Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang, Ying-Chang Liang

Proceedings of the IEEE International Symposium on Information Theory, 2021

Joint Communication-Learning Design for RIS-Assisted Federated Learning.

Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang

Proceedings of the IEEE International Conference on Communications Workshops, 2021

Relay-Assisted Over-the-Air Federated Learning.

Zehong Lin, Hang Liu, Ying-Jun Angela Zhang

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020

Statistical Beamforming for FDD Downlink Massive MIMO via Spatial Information Extraction and Beam Selection.

Hang Liu, Xiaojun Yuan, Ying Jun Zhang

IEEE Trans. Wirel. Commun., 2020

Double-Sparsity Learning-Based Channel-and-Signal Estimation in Massive MIMO With Generalized Spatial Modulation.

Xiaoyan Kuai, Xiaojun Yuan, Wenjing Yan, Hang Liu, Ying Jun Zhang

IEEE Trans. Commun., 2020

Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO.

Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang

IEEE J. Sel. Areas Commun., 2020

Reconfigurable-Intelligent-Surface Empowered 6G Wireless Communications: Challenges and Opportunities.

Xiaojun Yuan, Ying Jun Zhang, Yuanming Shi, Wenjing Yan, Hang Liu

CoRR, 2020

Message-Passing Based Channel Estimation for Reconfigurable Intelligent Surface Assisted MIMO.

Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO With One-Dimensional Antenna Array.

Hang Liu, Xiaojun Yuan, Ying Jun Zhang

IEEE Trans. Signal Process., 2019

Sparsity Learning Based Blind Signal Detection for Massive MIMO with Generalized Spatial Modulation.

Xiaoyan Kuai, Xiaojun Yuan, Wenjing Yan, Hang Liu, Ying-Jun Angela Zhang

Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

Message-Passing Based Blind Signal Detection for Massive MIMO with General Antenna Arrays.

Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Beam-Selection-Based Statistical Beamforming for FDD Massive MIMO: Exploiting Spatial Reciprocity.

Hang Liu, Xiaojun Yuan, Ying Jun Zhang

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO with Arbitrary Array Geometry.

Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang

CoRR, 2018