Jun Yang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Jun Yang has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Chenyang Jiang
School of Information Engineering, NingXia University, Yinchuan, China
1 shared publication - Chong-Qiang Ye
Hangzhou City University
1 shared publication - Fanting Che
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China
1 shared publication - Jian Li
School of Cyberspace Security, Beijing University of Post and Telecommunications, Beijing 100876, China
1 shared publication Mengxin Liu
School of Information Engineering, Ningxia University, Yinchuan, Ningxia, 750021, China
1 shared publication- Shuai Li
School of Information Engineering, NingXia University, Yinchuan, China
1 shared publication
Latest Publications
- 7 March 2025
- Published by Springer Nature in The Journal of Supercomputing
- Vol. 81 (4) , 1-21
Effective and efficient conditional contrast for data-free knowledge distillation with low memory
- 7 March 2025
- Published by Springer Nature in The Journal of Supercomputing
- Vol. 81 (4) , 1-21
Effective and efficient conditional contrast for data-free knowledge distillation with low memory
- Open Access
A Semi-Quantum Private Comparison Base on W-States
Privacy comparison is an important research topic in secure multi-party computing, widely used in e-commerce, secret ballots, and other fields. However, the development of quantum computing power poses a growing potential security threat to secure multi-party algorithms based on mathematically tricky problems, and most of the proposed quantum privacy comparison schemes could be more efficient. Therefore, based on the W-state, we offer a more efficient semi-quantum privacy comparison method. The security analysis shows that the scheme can resist third-party, measurement, and entanglement attacks. Compared with the previous work, the scheme significantly improves communication efficiency and has stronger practicability.
Open AccessA Semi-Quantum Private Comparison Base on W-States
Privacy comparison is an important research topic in secure multi-party computing, widely used in e-commerce, secret ballots, and other fields. However, the development of quantum computing power poses a growing potential security threat to secure multi-party algorithms based on mathematically tricky problems, and most of the proposed quantum privacy comparison schemes could be more efficient. Therefore, based on the W-state, we offer a more efficient semi-quantum privacy comparison method. The security analysis shows that the scheme can resist third-party, measurement, and entanglement attacks. Compared with the previous work, the scheme significantly improves communication efficiency and has stronger practicability.
- Open Access
- 1 September 2021
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 2035 (1) , 012029
Image Classification of Brain tumor based on Channel Attention Mechanism
- 1 September 2021
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 2035 (1) , 012029
Open AccessImage Classification of Brain tumor based on Channel Attention Mechanism