Institute of Cyberspace Technology | Academic Staff

Dr TANG YaJuan

PhD (Wuhan University)

Lecturer

Teaching Area: Cybersecurity

Biography

Dr TANG Yajuan is a Lecturer at the Institute of Cyberspace Technology, HKCT Institute of Higher Education. Prior to joining HKCT, she was an Associate Professor at Shantou University.

Dr Tang has carried out long-term research work in the areas of machine learning, network performance and network security. Dr Tang has published several papers in outstanding academic journals such as Physical Review Letters, International Journal of Web Services Research, IEEE Transactions on Information Forensics and Security, etc. She has chaired and participated in several research grants at various levels, including the National Natural Science Foundation of China.

Selected Publications

Journal Articles

Liu, X., Zhang, G., Li, J., Shi, G., Zhou, M., Huang, B., ... & Yang, W. (2020). Deep learning for Feynman’s path integral in strong-field time-dependent dynamics. Physical review letters, 124(11), 113202.

Yang, S., Song, X., Liu, X., Zhang, H., Shi, G., Yu, X., ... & Yang, W. (2020). Coulomb-corrected strong-field approximation based on a genetic algorithm. Laser Physics Letters, 17(9), 095301.

Ma, X., Li, J., Tang, Y., An, B., & Guan, X. (2019). Protecting internet infrastructure against link flooding attacks: A techno-economic perspective. Information Sciences, 479, 486-502.

Conference Papers

Li, J., Zhao, K., Tang, Y., Luo, X., & Ma, X. (2021, April). Inaccurate prediction is not always bad: open-world driver recognition via error analysis. In 2021 IEEE 93rd vehicular technology conference (VTC2021-Spring) (pp. 1-7). IEEE.

Fan, Z., Yang, Z., Tang, Y., Li, W., Xu, B., Wang, Z., ... & Zhu, G. (2021, March). An Improved Epsilon Method with M2M for Solving Imbalanced CMOPs with Simultaneous Convergence-Hard and Diversity-Hard Constraints. In International Conference on Evolutionary Multi-Criterion Optimization (pp. 248-256). Cham: Springer International Publishing.

Tu, P., Luo, X., Wu, W., & Tang, Y. (2014, May). Speeding Up Multi-level Route Analysis Through Improved Multi-LCS Algorithm. In International Conference on Testbeds and Research Infrastructures (pp. 327-337). Cham: Springer International Publishing.