Xi Huang

Dr. Xi Huang


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 January 2021 in International Journal of Theoretical Physics
Verified
Journal Article
Closed access
PDF file
XHXi Huang
Xi Huang
SZShibin Zhang
Shibin Zhang
YCYan Chang
Yan Chang
CQChi Qiu
Chi Qiu
DLDong-Mei Liu
Dong-Mei Liu
MHMin Hou
Min Hou

5 September 2021 in International Journal of Theoretical Physics
Verified
Journal Article
Closed access
PDF file
XHXi Huang
Xi Huang
SZShibin Zhang
Shibin Zhang
YCYan Chang
Yan Chang
MHMin Hou
Min Hou
WCWen Cheng
Wen Cheng

20 July 2024 in Physica A: Statistical Mechanics and its Applications
Verified
Journal Article
Closed access
XHXi Huang
Xi Huang
WZWenfang Zhang
Wenfang Zhang
SZShibin Zhang
Shibin Zhang

17 February 2024 in Physica A: Statistical Mechanics and its Applications
Verified
Journal Article
Closed access
XHXi Huang
Xi Huang
WZWenfang Zhang
Wenfang Zhang
SZShibin Zhang
Shibin Zhang

7 December 2021 in Modern Physics Letters A
Verified
Journal Article
Closed access
PDF file
XHXi Huang
Xi Huang
SZShibin Zhang
Shibin Zhang
YCYan Chang
Yan Chang
FYFan Yang
Fan Yang
MHMin Hou
Min Hou
WCWen Cheng
Wen Cheng

9 October 2025 in IEEE Transactions on Network Science and Engineering
Verified
Journal Article
Closed access
XHXi Huang
Xi Huang
WZWenfang Zhang
Wenfang Zhang
XWXiaomin Wang
Xiaomin Wang
SZShibin Zhang
Shibin Zhang
MKMuhammad Khurram Khan
Muhammad Khurram Khan
Mobile social networks (MSNs) enable mobile users to connect, communicate, and share content primarily through mobile devices with other individuals. Profile matching is a crucial service in MSNs, allowing users to select individuals with similar profile attributes. However, the unintended disclosure of user profile information to MSN service providers and other users raises significant concerns regarding security and privacy. Although many proposals have been introduced to address these issues, they overlook the threats posed by powerful quantum computers, resulting in potential vulnerabilities in existing solutions. In this paper, we propose a quantum-secure fine-grained privacy-preserving profile matching (QF2PM) scheme for MSNs, which supports finer differentiation among users with similar attributes. Our scheme enables the initiator and candidate to share a secret key with the help of a semi-honest quantum server. We employ rotational encryption and multi-qubit swap tests to achieve profile matching while preventing privacy leakage, even in the face of future quantum threats. In contrast to existing privacy-preserving profile matching schemes, our proposal can withstand both classical and quantum attacks, leveraging quantum technologies such as Bell states, rotational encryption, multi-qubit swap test, and quantum measurement.