If you made any changes in Pure these will be visible here soon.

Personal profile

Biography

Li Li is a Lecturer in the Faculty of Information Technology, Monash University. Prior to joining Monash, he was a research associate in Software Engineering at the University of Luxembourg and an honorary research associate at University College London. Li obtained his PhD degree in November 2016 from the University of Luxembourg. His research interests are in the areas of Android Security, Static Analysis, Machine Learning, Deep Learning, and Empirical Study.

For more details, please refer to my personal website.

Monash teaching commitment

Dr Li has experience as the Lecturer for the following unit in the Faculty of IT:

  • FIT5003 Software Security

Research area keywords

  • Mobile and Ubiquitous Computing
  • Machine Learning
  • Program Analysis
  • Empirical Software Engineering
  • Android Security
  • Mining Software Repositories

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2019 2023

Research Output 2014 2019

  • 41 Conference Paper
  • 8 Article
  • 2 Foreword / Postscript
  • 1 Review Article

A large-scale study of application incompatibilities in Android

Cai, H., Zhang, Z., Li, L. & Fu, X., 2019, Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis. Zhang, D. & Moller, A. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 216-227 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)

Automated testing of Android apps: a systematic literature review

Kong, P., Li, L., Gao, J., Liu, K., Bissyande, T. F. & Klein, J., Mar 2019, In : IEEE Transactions on Reliability. 68, 1, p. 45-66 22 p.

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Dating with Scambots: understanding the ecosystem of fraudulent dating applications

Hu, Y., Wang, H., Zhou, Y., Guo, Y., Li, L., Luo, B. & Xu, F., 2019, (Accepted/In press) In : IEEE Transactions on Dependable and Secure Computing. 18 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
6 Citations (Scopus)

DeepCT: tomographic combinatorial testing for deep learning systems

Ma, L., Juefei-Xu, F., Xue, M., Li, B., Li, L., Liu, Y. & Zhao, J., 2019, 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering. Wang, X., Lo, D. & Shihab, E. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 614-618 5 p. 8668044

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Knowledge Graphing Git repositories: a preliminary study

Zhao, Y., Wang, H., Ma, L., Liu, Y., Li, L. & Grundy, J., 2019, Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering. Wang, X., Lo, D. & Shihab, E. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 599-603 5 p. 8668034

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review