| Name | Zhongxiang Zheng （中文简历） | |
Title | Lecturer | |
Department | Department of Cybersecurity | |
zhengzx@cuc.edu.cn | ||
Courses Taught | Electronic Commerce and E-Government Security (Undergraduate), Reliability Technology (Undergraduate) | |
Research Interest or Teaching Expertise | Cryptography, privacy computing | |
Self-Introduction | Zheng Zhongxiang, lecturer at the School of Computer and Cyberspace Security, received Ph.D. from the Department of Computer Science and Technology, Tsinghua University in 2019, and joined Communication University of China in 2021. Long involved in cryptography-related research, he focuses on the design and analysis of cryptographic algorithms resistant to quantum computing assaults, the design and analysis of completely homomorphic encryption algorithms, and privacy computing. | |
Publication | 1. Xue Zhang, Zhongxiang Zheng*, Xiaoyun Wang*. A detailed analysis of primal attack and its variants. Sci. China Inf. Sci. 65, 132301 (2022). DOI:10.1007/s11432-020-2958-9 2. Zhongxiang Zheng, Xiaoyun Wang*, Guangwu Xu, Chunhuan Zhao: Error Estimation of Practical Convolution Discrete Gaussian Sampling with Rejection Sampling. Sci. China Inf. Sci. 64, (2021). DOI: 10.1007/s11432-019-9919-7 3. Chao Liu, Anyu Wang*, Zhongxiang Zheng. Optimizing Bootstrapping and Evaluating Large FHE Gates in the LWE-Based GSW-FHE. ACISP 2021. DOI: 10.1007/978-3-030-90567-5_30 4. Chunhuan Zhao, Zhongxiang Zheng: Improved analysis of the reduction from BDD to uSVP. Inf. Process. Lett. 148: 28-32 (2019). DOI: 10.1016/j.ipl.2019.04.004 5. Zhongxiang Zheng, Xiaoyun Wang*, Guangwu Xu, Yang Yu: Orthogonalized lattice enumeration for solving SVP. Sci. China Inf. Sci. 61, (2018). DOI: 10.1007/s11432-017-9307-0 | |
Projects | Scientific research projects 1. National Key R&D Program (Grant No. 2020YFA0309705), Ministry of Science and Technology, December 2020- present, participated 2. National Key R&D Program (Grant No. 2018YFA0704701), Ministry of Science and Technology, November 2019- present, participated | |
Admission Requirements | Master/PhD students: 1. Bachelor's degree in Computer Science and Technology, Computing/Applied Mathematics and related majors are preferred. 2. Positive attitude, willing to communicate and showing strong learning ability. | |
