Jie Wu

Contact

jie.jw.wu@mtu.edu
906-487-2320
Rekhi Hall 207

Assistant Professor, Computer Science

Ph.D in System Engineering, George Washington University, Washington D.C.

Biography

Jie "JW" Wu received his BS and MS degrees in Computer Science from Shanghai Jiao Tong University, China. He received his PhD in Systems Engineering from the George Washington University and was a postdoctoral fellow at the University of British Columbia. He joined the Department of Computer Science at Michigan Technological University as an assistant professor in 2025. His research lies at the intersection of software engineering and AI, focusing on Trustworthy AIware (i.e., AI-powered software). His work has been published in top venues including ACM Transactions on Software Engineering and Methodology, Foundations of Software Engineering, AAAI, and IJCAI, and was recognized as a Best Paper Award candidate at IEEE/ACM CAIN 2024. Before academia, he spent nearly a decade in industry at Snap Inc., Microsoft, and a startup, and was a research intern at Google Research and Microsoft Research.

Links of Interest

Faculty Webpage

Areas of Expertise

AI for Software Engineering (AI4SE)
Software Engineering for AI (SE4AI)
Large Language Models for Code
Trustworthy AI

Recent Publications

A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages, Sathvik Joel*, Jie JW Wu*, Fatemeh Hendijani Fard
(*Equal contribution), ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent, Jie JW Wu, Fatemeh Hendijani Fard, ACM Transactions on Software Engineering and Methodology (TOSEM), 2025.
Investigating the Efficacy of Large Language Models for Code Clone Detection, Mohamad Khajezade, Jie JW Wu, Fatemeh Hendijani Fard, Gema Rodríguez-Pérez, Mohamed Sami Shehata, International Conference on Program Comprehension (ICPC), Early Research Achievements (ERA), 2024.
AutoOffAB: Toward Automated Offline A/B Testing for Data-Driven Requirement Engineering, Jie JW Wu, Foundations of Software Engineering (FSE), Ideas, Visions and Reflections Track, 2024.
An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering Perspective, Jie JW Wu, 3rd International Conference on AI Engineering – Software Engineering for AI (CAIN), 2024 (Distinguished Paper Award Candidate).