Profile

I am an assistant professor at Nara Institute of Science and Technology (NAIST), Japan. Before that, I received my Ph.D. degree, advised by Prof. Shuai Wang, at the Hong Kong University of Science and Technology (HKUST). In 2021, I received my Bachelor's degree in Computer Science and Technology from Nanjing University, Nanjing, China. My research interests include Software Engineering and Deep Learning, with a focus on Causality and LLM-based Agents.

Biography

Selected Publications

• [ISSTA] Function Calling as a Flexible LLM Defense Add-On: Capability and Application Exploration
  Zhenlan JI, Daoyuan Wu, Wenxuan Wang, Pingchuan Ma, Shuai Wang, Lei Ma, and Juergen Rahmel
  The 35th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2026.

• [ICLR] NAMET: Robust Massive Model Editing via Noise-Aware Memory Optimization
  Yanbo Dai, Zhenlan Ji, Zongjie Li, and Shuai Wang
  International Conference on Learning Representations (ICLR), 2026.

• [ISSTA] Causality-Aided Evaluation and Explanation of Large Language Model-based Code Generation
  Zhenlan JI, Pingchuan Ma, Zongjie Li, Zhaoyu Wang, Shuai Wang
  The 34th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2025.

• [ASE] Causality-Aided Trade-off Analysis for Machine Learning Fairness
  Zhenlan JI, Pingchuan Ma, Shuai Wang, Yanhui Li
  The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023.

• [ASE] PerfCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis
  Zhenlan JI, Pingchuan Ma, Shuai Wang
  The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023.

• [ICSE] CC: Causality-Aware Coverage Criterion for Deep Neural Networks
  Zhenlan JI, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang
  The 45th IEEE/ACM International Conference on Software Engineering (ICSE), 2023.