XR RELIABILITY · XR SOFTWARE ENGINEERING · XR SECURITY

XR Reliability, Security, and Embodied AI.

HenryLab-XR is a research group focused on eXtended Reality systems, covering Virtual Reality, Augmented Reality, and Mixed Reality. We develop methods, tools, and open artifacts for dependable immersive software.

Our current directions are XR Reliability, XR Software Engineering, and XR Security; our future direction is Embodied AI.

Selected work atICSEASETSEESORICS
ReliabilitySoftware EngineeringSecurityEmbodied AI
Dependable immersive software across VR, AR, and MR.

RESEARCH THEMES

Three core XR directions and one future direction.

Our work draws on model-based testing, program analysis, empirical studies, and large language models across these themes.

01

XR Reliability

Automated scene exploration, interaction testing, performance analysis, and reproducible evaluation for VR, AR, and MR applications.

  • Automated XR testing
  • Performance analysis
  • Reproducible evaluation
02

XR Software Engineering

Program analysis, LLM-assisted testing and repair, and developer tools for building and maintaining complex immersive software.

  • Program analysis
  • LLM-assisted repair
  • Developer tools
03

XR Security

Security testing, privacy-risk analysis, side-channel studies, and ecosystem-scale measurement of XR applications and platforms.

  • Security testing
  • Privacy analysis
  • Side channels
04Future Direction

Embodied AI

Future-direction research on how embodied agents perceive, reason, and act in interactive 3D environments with robust, safe, and dependable behavior.

  • Future direction
  • Evaluation
  • Robustness

FEATURED WORK

Research translated into tools and evidence.

Our projects connect peer-reviewed research with open code, artifacts, and reproducible workflows.

ASE 2025

VRExplorer

Model-based VR Testing

A model-based approach for semi-automated exploration and testing of virtual reality scenes.

  • XR Reliability
  • Unity
  • Automated Testing
ICSE 2026

XRFix

LLM-assisted Performance Bug Repair

A study and repair workflow for performance bugs in XR applications using large language models.

  • XR Software Engineering
  • Performance
  • LLMs
ICSE 2024 · TSE 2025

Meta-detector

Security & Privacy Analysis

Empirical analysis and detection tools for security and privacy risks in the Meta/Oculus VR ecosystem.

  • XR Security
  • Privacy
  • Empirical Study
RESEARCH PROTOTYPE

VRAgent

Automated VR Testing Prototype

An open-source research prototype combining Unity scene and dependency analysis, LLM-generated test plans, and automated execution for VR applications.

  • VR Testing
  • LLM Agents
  • Dependency Analysis

SELECTED PUBLICATIONS

Recent work across XR reliability, software engineering, and security.

A concise selection of the group's work on XR testing, repair, reliability, security, and privacy.

View Google Scholar
  1. 2026ICSE
  2. 2025ASE

    VRExplorer: A Model-based Approach for Semi-Automated Testing of Virtual Reality Scenes

    Zhengyang Zhu, Hong-Ning Dai, Hanyang Guo, Zeqin Liao, and Zibin Zheng

  3. 2025TSE

    An Empirical Study on Meta Virtual Reality Applications: Security and Privacy Perspectives

    Hanyang Guo, Hong-Ning Dai, Xiapu Luo, Gengyang Xu, Fengliang He, and Zibin Zheng

  4. 2025ESORICS

    AcouListener: An Inaudible Acoustic Side-Channel Attack on AR/VR Systems

    Fengliang He, Hong-Ning Dai, Hanyang Guo, Xiapu Luo, and Jiadi Yu

  5. 2024ICSE

    An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives

    Hanyang Guo, Hong-Ning Dai, Xiapu Luo, Zibin Zheng, Gengyang Xu, and Fengliang He

PEOPLE

A cross-institution research team.

Our group brings together researchers affiliated with Hong Kong Baptist University, Sun Yat-sen University, and industry research teams.

FACULTY LEAD

Hong-Ning Dai

Associate Professor · Department of Computer Science · Hong Kong Baptist University

His XR-related research spans immersive systems, software reliability, security and privacy, and intelligent software systems.

30,667Citations
59h-index
173i10-index

Google Scholar · accessed 11 July 2026

Current Members

Hanyang Guo

Researcher at Ant Group · PhD, Sun Yat-sen University

AI for software engineering, software reliability, and XR systems.

Homepage

Fengliang He

PhD Student · Hong Kong Baptist University

AR/VR systems, XR security, and sensing-driven immersive applications.

Homepage

Jingwen Wu

PhD Student · Hong Kong Baptist University

AI for software engineering, XR reliability, and AI security.

Homepage

Zhengyang Zhu

PhD Student, SYSU · Visiting Student, HKBU

XR software testing, software reliability, LLMs for software engineering, and embodied AI.

Homepage

JOIN US

Build dependable and intelligent immersive systems with us.

We are recruiting PhD students, Research Assistants, and Visiting Students interested in XR software engineering, reliability and testing, security and privacy, AI for software engineering, and emerging embodied AI.

PhD StudentsResearch AssistantsVisiting Students

What to send

  • Your CV
  • A brief introduction to your research interests
  • Academic transcripts
  • Links to representative papers, projects, or code
  • The position you are interested in and your preferred start date
Email Your Application