Junqing Le
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[11]Unit commitment problem using an efficient pso based algorithm:2019 Eleventh International Conference on Advanced Computational Intelligence (ICACI)

[12]A Novel Privacy-Preserving Location-Based Services Search Scheme in Outsourced Cloud:IEEE Transactions on Cloud Computing

[13]Full autonomy: A novel individualized anonymity model for privacy preserving:Computers & Security

[14]Efficient Physical Layer Group Key Generation in 5G Wireless Networks:2020 IEEE Conference on Communications and Network Security (CNS)

[15]Minable Data Publication Based on Sensitive Association Rule Hiding:IEEE Transactions on Emerging T0pics in Computational Intelligence

[16]Machine Learning-Assisted Wireless PHY Key Generation with Reconfigurable Intelligent Surfaces:2021 ACM Workshop on Wireless Security and Machine Learning (WiseML)

[17]Privacy preserving frequent itemset mining: Maximizing data utility based on database reconstruction:Privacy preserving frequent itemset mining: Maximizing data utility based on database reconstruction

[18]Privacy Protection and Efficient Incumbent Detection in Spectrum Sharing Based on Federated Learning:2020 IEEE Conference on Communications and Network Security (CNS)

[19]Privacy-preserving self-serviced medical diagnosis scheme based on secure multi-party computation:Computers & Security

[20]A two-layer algorithm based on PSO for solving unit commitment problem:Soft Computing

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Personal information

Hongshen Young Faculty

School/Department:计算机学院

Administrative Position:无

Education Level:Postgraduate (Doctoral)

Business Address:信息大楼B603-2

Contact Information:junqingle@cqu.edu.cn

Degree:Doctoral degree

Academic Titles:无

Alma Mater:西南大学

Discipline:Computer Software and Theory

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