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ORCIDHang Liu 0007
Person information
- affiliation: Chinese University of Hong Kong, Department of Information Engineering, Shatin, Hong Kong
Other persons with the same name
- Hang Liu — disambiguation page
- Hang Liu 0001
![[0000-0001-6323-7388]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6323-7388")
— Stevens Institute of Technology, HPDA lab, Hoboken, NJ, USA (and 2 more) - Hang Liu 0002 — Chongqing University, College of Computer Science, China
- Hang Liu 0003 — Catholic University of America, Electrical Engineering and Computer Science Department, Washington, DC, USA (and 1 more)
- Hang Liu 0004 — Shanghai University, School of Mechatronic Engineering and Automation, China
- Hang Liu 0005 — Beijing Jiaotong University, School of Computer and Information Technology, China
- Hang Liu 0006 — Singapore University of Technology and Design, Engineering Product Development Pillar (and 1 more)
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2020 – today
- 2024
[j13]Hang Liu, Anna Scaglione, Sean Peisert:
Graph-Signal-to-Graph Matching for Network De-Anonymization Attacks. IEEE Trans. Inf. Forensics Secur. 19: 10043-10057 (2024)- [j12]Hang Liu, Anna Scaglione, Hoi-To Wai:
Blind Graph Matching Using Graph Signals. IEEE Trans. Signal Process. 72: 1766-1781 (2024) - [j11]Hang Liu, Jia Yan, Ying-Jun Angela Zhang:
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels. IEEE Trans. Wirel. Commun. 23(8): 8232-8247 (2024) - [c12]Leah Woldemariam, Hang Liu, Anna Scaglione:
Low-Complexity Vector Source Coding for Discrete Long Sequences with Unknown Distributions. ICASSP 2024: 8991-8995 - [c11]Hang Liu, Anna Scaglione, Sean Peisert:
Privacy Leakage In Graph Signal To Graph Matching Problems. ICASSP 2024: 9371-9375 - [c10]Andrew Campbell, Hang Liu, Anna Scaglione, Tong Wu:
A Federated Learning Approach for Graph Convolutional Neural Networks. SAM 2024: 1-5 - [i15]Hang Liu, Anna Scaglione:
Shuffled Linear Regression via Spectral Matching. CoRR abs/2410.00078 (2024) - 2023
- [j10]Zehong Lin, Hang Liu, Ying-Jun Angela Zhang:
CFLIT: Coexisting Federated Learning and Information Transfer. IEEE Trans. Wirel. Commun. 22(11): 8436-8453 (2023) - [j9]Hang Liu, Zehong Lin, Xiaojun Yuan, Ying-Jun Angela Zhang:
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning. IEEE Wirel. Commun. 30(6): 111-118 (2023) - [c9]Hang Liu, Anna Scaglione, Hoi-To Wai:
Solutions of the Graph Matching Problem Using Graph Signals. CAMSAP 2023: 266-270 - [c8]Hang Liu, Jia Yan, Ying-Jun Angela Zhang:
On the Privacy Leakage of Over-the-Air Federated Learning Over MIMO Fading Channels. GLOBECOM 2023: 5274-5279 - [i14]Hang Liu, Jia Yan, Ying-Jun Angela Zhang:
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels. CoRR abs/2306.10982 (2023) - [i13]Leah Woldemariam, Hang Liu, Anna Scaglione:
Low-Complexity Vector Source Coding for Discrete Long Sequences with Unknown Distributions. CoRR abs/2309.05633 (2023) - [i12]Andrew Campbell, Hang Liu, Leah Woldemariam, Anna Scaglione:
MALCOM-PSGD: Inexact Proximal Stochastic Gradient Descent for Communication-Efficient Decentralized Machine Learning. CoRR abs/2311.05760 (2023) - 2022
- [j8]Zehong Lin, Hang Liu, Ying-Jun Angela Zhang:
Relay-Assisted Cooperative Federated Learning. IEEE Trans. Wirel. Commun. 21(9): 7148-7164 (2022) - [i11]Zehong Lin, Hang Liu, Ying-Jun Angela Zhang:
CFLIT: Coexisting Federated Learning and Information Transfer. CoRR abs/2207.12884 (2022) - 2021
- [j7]Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach. IEEE Trans. Wirel. Commun. 20(11): 7595-7609 (2021) - [j6]Xiaojun Yuan, Ying-Jun Angela Zhang, Yuanming Shi, Wenjing Yan, Hang Liu:
Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities. IEEE Wirel. Commun. 28(2): 136-143 (2021) - [j5]Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface. IEEE Wirel. Commun. Lett. 10(11): 2440-2444 (2021) - [c7]Zehong Lin, Hang Liu, Ying-Jun Angela Zhang:
Relay-Assisted Over-the-Air Federated Learning. GLOBECOM (Workshops) 2021: 1-7 - [c6]Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
Joint Communication-Learning Design for RIS-Assisted Federated Learning. ICC Workshops 2021: 1-6 - [c5]Zhen-Qing He, Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang, Ying-Chang Liang:
Semi-Blind Channel Estimation for RIS-Aided Massive MIMO: A Trilinear AMP Approach. ISIT 2021: 2822-2827 - [i10]Zhen-Qing He, Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang, Ying-Chang Liang:
Semi-Blind Cascaded Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO. CoRR abs/2101.07315 (2021) - [i9]Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
CSIT-Free Federated Edge Learning via Reconfigurable Intelligent Surface. CoRR abs/2102.10749 (2021) - [i8]Zehong Lin, Hang Liu, Ying-Jun Angela Zhang:
Relay-Assisted Cooperative Federated Learning. CoRR abs/2107.09518 (2021) - [i7]Hang Liu, Zehong Lin, Xiaojun Yuan, Ying-Jun Angela Zhang:
Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning. CoRR abs/2109.02353 (2021) - 2020
- [j4]Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO. IEEE J. Sel. Areas Commun. 38(11): 2621-2636 (2020) - [j3]Xiaoyan Kuai, Xiaojun Yuan, Wenjing Yan, Hang Liu, Ying Jun Zhang:
Double-Sparsity Learning-Based Channel-and-Signal Estimation in Massive MIMO With Generalized Spatial Modulation. IEEE Trans. Commun. 68(5): 2863-2877 (2020) - [j2]Hang Liu, Xiaojun Yuan, Ying Jun Zhang:
Statistical Beamforming for FDD Downlink Massive MIMO via Spatial Information Extraction and Beam Selection. IEEE Trans. Wirel. Commun. 19(7): 4617-4631 (2020) - [c4]Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
Message-Passing Based Channel Estimation for Reconfigurable Intelligent Surface Assisted MIMO. ISIT 2020: 2983-2988 - [i6]Xiaojun Yuan, Ying Jun Zhang, Yuanming Shi, Wenjing Yan, Hang Liu:
Reconfigurable-Intelligent-Surface Empowered 6G Wireless Communications: Challenges and Opportunities. CoRR abs/2001.00364 (2020) - [i5]Hang Liu, Xiaojun Yuan, Ying Jun Zhang:
Statistical Beamforming for FDD Downlink Massive MIMO via Spatial Information Extraction and Beam Selection. CoRR abs/2003.03041 (2020) - [i4]Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach. CoRR abs/2011.10282 (2020)
2010 – 2019
- 2019
- [j1]Hang Liu, Xiaojun Yuan, Ying Jun Zhang:
Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO With One-Dimensional Antenna Array. IEEE Trans. Signal Process. 67(17): 4433-4448 (2019) - [c3]Hang Liu, Xiaojun Yuan, Ying Jun Zhang:
Beam-Selection-Based Statistical Beamforming for FDD Massive MIMO: Exploiting Spatial Reciprocity. GLOBECOM 2019: 1-6 - [c2]Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
Message-Passing Based Blind Signal Detection for Massive MIMO with General Antenna Arrays. ICC 2019: 1-7 - [c1]Xiaoyan Kuai, Xiaojun Yuan, Wenjing Yan, Hang Liu, Ying-Jun Angela Zhang:
Sparsity Learning Based Blind Signal Detection for Massive MIMO with Generalized Spatial Modulation. ICCC 2019: 64-69 - [i3]Xiaoyan Kuai, Xiaojun Yuan, Wenjing Yan, Hang Liu, Ying Jun Zhang:
Double-Sparsity Learning Based Channel-and-Signal Estimation in Massive MIMO with Generalized Spatial Modulation. CoRR abs/1910.11504 (2019) - [i2]Hang Liu, Xiaojun Yuan, Ying Jun Zhang:
Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO. CoRR abs/1912.09025 (2019) - 2018
- [i1]Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang:
Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO with Arbitrary Array Geometry. CoRR abs/1810.01059 (2018)
Coauthor Index
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