Educational Qualifications

2024
Doctor of Philosophy, Monash University

Academic and Professional Experience

2026 - Present
Lecturer, Singapore University of Social Sciences

2025 - 2026
Research Fellow, CNRS@CREATE

2023 - 2025
Research Fellow, National University of Singapore

Selected Publications

  • Zhang, Y., Wang, J., Berzin, D., Mirchev, M., & Roychoudhury, A. (2026). Fixing Security Vulnerabilities with Agentic AI in OSS-Fuzz
  • Wang, J., Li, L., Liu, K., & Du, X. (2025). Detecting and Explaining Python Name Errors. Information and Software Technology, 178, 107592
  • Venkatesh, A. P. S., Sabu, S., Chekkapalli, M., Wang, J., Li, L., & Bodden, E. (2024). Static analysis driven enhancements for comprehension in machine learning notebooks. Empirical Software Engineering, 29(5), 136.
  • Li, B., Quan, H., Wang, J., Liu, P., Cai, H., Miao, Y., ... & Li, L. (2024). Neural library recommendation by embedding project-library knowledge graph. IEEE Transactions on Software Engineering, 50(6), 1620-1638.
  • Shivarpatna Venkatesh, A. P., Sabu, S., Wang, J., M. Mir, A., Li, L., & Bodden, E. (2024, April). TypeEvalPy: a micro-benchmarking framework for python type inference tools. In Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (pp. 49-53).
  • Wang, J., Li, L., & Zeller, A. (2021, May). Restoring execution environments of Jupyter notebooks. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) (pp. 1622-1633). IEEE.
  • Wang, J., Kuo, T. Y., Li, L., & Zeller, A. (2020, December). Assessing and restoring reproducibility of Jupyter notebooks. In Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering (pp. 138-149).

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