Building reliable intelligence
for extended reality.
I’m Jingwen Wu, a PhD student in Software Engineering at Hong Kong Baptist University. I explore how AI can make XR software more robust—and how intelligent systems can remain secure in the real world.
Latest news
XRFix, our work on performance bug repair for XR applications with large language models, was accepted at the 48th IEEE/ACM International Conference on Software Engineering. See you in Rio!
Started my PhD journey at HKBU, focusing on AI for Software Engineering and XR systems.
Our work on coupled-space attacks against random-walk-based anomaly detection was published in IEEE TIFS.
Publications
XRFix: Exploring Performance Bug Repair of Extended Reality Applications with Large Language Models
We built an open-source XR codebase and dataset, customized static analyzers for Unity, and designed prompt templates for LLM-driven bug repair.
Coupled-Space Attacks Against Random-Walk-based Anomaly Detection
Y. Lai, M. Waniek, L. Li, J. Wu, Y. Zhu, T. P. Michalak, K. Zhou · IEEE Transactions on Information Forensics and Security
Academic journey
Education
PhD, Computer Science
Hong Kong Baptist University
MSc, Information Technology
The Hong Kong Polytechnic University
BSc, Computer Science
Beijing University of Posts and Telecommunications
Experience
DataSLO Summer School
Norcia, Italy
Research Assistant
STiLLAB, PolyU
Test Engineer
Search & Recommendation, JD
Honors & awards
Interested in reliable XR
and secure AI?
I’m always happy to discuss research ideas, open-source collaboration, and new opportunities.
csjwwu@comp.hkbu.edu.hk