Name | Wen Liu (中文简历) | |
Title | Professor | |
Department | Department of Cybersecurity | |
lw_8206@163.com | ||
Courses Taught | Discrete Mathematics (Bachelor Program), and Data Mining (Master Program and Doctoral Program) | |
Research Interest or Teaching Expertise | Information Security, Privacy Protection, Security Multi-Party Computation, Quantum Cryptography and Quantum Computing | |
Publication | 1. W. Liu,W. Zhang. A quantum protocol for secure manhattan distance computation. IEEE Access (2020) 8: 16456-16461 2. W. Liu,Y. G. Li, Y. B. Wang. A novel quantum solution to privacy-preserving lexicographical string sorting problem. International Journal of Theoretical Physics (2020) 59:754–762 3. W. Liu,Y. B. Wang,A. N. Sui,M. Y. Ma. Quantum Protocol for Millionaire Problem. Int J Theor Phys (2019) 58: 2106-2114 4. W. Liu,Y. B. Wang,W.Q. Fan. An novel protocol for the quantum secure multi-party summation based on two-particle Bell states. Int J Theor Phys(2017) 56:2783–2791 5. W. Liu,Y. B. Wang. Dynamic multi-party quantum private comparison protocol with single photons in both polarization and spatial-mode. Int J Theor Phys (2016) 55:5307–5317 6. W. Liu,Y. B. Wang,X. M. Wang. Quantum multi-party private comparison protocol using d-dimensional Bell states. Int J Theor Phys (2015) 54:1830–1839 7. Xiu-Bo Chen, Yuan Su, Xin-Xin Niu and Yi-Xian Yang. Efficient and feasible quantum private comparison of equality against the collective amplitude damping noise. Quantum Information Processing, 2014, 13 (1): 101-112 | |
Projects | Scientific Research Projects 1. Equation and Extension of Quantum Privacy Two-Side Comparison, National Natural Science Foundation Of China Youth Project, January 2015-December 2018, Principle Investigator 2. Stereoscopic Visual Resource Storage and Intelligent Retrieval Key Technology, National Science and Tech- nology Support Program, May 2013 - May 2016, Principle Investigator 3. Privacy Two-Side Comparison and Extension under Different Cryptography Systems, Beijing Colleges and Universities Young Talents Program, July 2013-March 2016, Principle Investigator | |
Admission Requirements | Master Degree Candidates: Rigorous, responsible, and positive fast learners favored. Doctoral Candidates: Rigorous, responsible, and positive fast learners interested in scientific research favored. |