Contact Details

Email: quanqi.ye@waikato.ac.nz

About Quanqi

Quanqi Ye's research interests mainly focuses on the security and privacy issues in protocols, applications and systems. By developing and applying theoretical and systematic software engineering approaches including formal analysis, fuzzy testing, and machine/deep learning techniques, vulnerabilities in protocols, applications and systems can be discovered. The mitigations can be thus developed and applied accordingly to improve the quality of applications and systems.

Research Interests

Privacy and security; cyber security; cloud computing

Recent Publications

• Ye, Q., Zhang, Y., Bai, G., Dong, N., Liang, Z., Dong, J. S., & Wang, H. (2019). LightSense: A novel side channel for zero-permission mobile user tracking. In Z. Lin, C. Papamanthou, & M. Polychronakis (Eds.), Proc 22nd International Conference on Information Security (ISC 2019) LNCS 11723 (pp. 299-318). New York City, NY, USA: Springer. doi:10.1007/978-3-030-30215-3_15

• Guo, C., Wang, W., Wu, Y., Dong, N., Ye, Q., Xu, J., & Zhang, S. (2019). Systematic comprehension for developer reply in mobile system forum. In X. Wang, D. Lo, & E. Shihab (Eds.), Proc 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering (SANER 2019) (pp. 242-252). Hangzhou, China: IEEE. doi:10.1109/SANER.2019.8668016

• Guo, C., Huang, D., Dong, N., Ye, Q., Xu, J., Fan, Y., . . . Xu, Y. (2019). Deep review sharing. In X. Wang, D. Lo, & E. Shihab (Eds.), Proc 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering (SANER 2019) (pp. 61-72). Hangzhou, China: IEEE. doi:10.1109/SANER.2019.8668037

• Guo, C., Xu, Y., Hou, X., Dong, N., Xu, J., & Ye, Q. (2019). Deep attentive factorization machine for app recommendation service. In Proc 2019 IEEE International Conference on Web Services (ICWS 2019) (pp. 134-138). Milan, Italy: IEEE. doi:10.1109/ICWS.2019.00032

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