collaborators

5 papers

cs.SE2026

XRFix: Exploring Performance Bug Repair of Extended Reality Applications with Large Language Models

Jingwen Wu, Hanyang Guo, Hong-Ning Dai +1

As an emerging technology, Extended Reality provides end-users with an immersive experience of interacting with virtual and physical environments. Unlike traditional software, the…

cs.CR2026

VR-Themis: A Scalable Framework for Virtual Reality Application Clone Detection

Gengyang Xu, Hanyang Guo, Hong-Ning Dai +1

Repackaging of mobile applications (aka app cloning) not only threatens the security and privacy of mobile users but also infringes upon the copyright of the original app developer…

cs.SE2026

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

Zhengyang Zhu, Hong-Ning Dai, Hanyang Guo +2

With the proliferation of Virtual Reality (VR) markets, VR applications are rapidly expanding in scale and complexity, thereby driving an urgent need for assuring VR software quali…

cs.SE2025

CodeFuse-CR-Bench: A Comprehensiveness-aware Benchmark for End-to-End Code Review Evaluation in Python Projects

Hanyang Guo, Xunjin Zheng, Zihan Liao +4

Automated code review (CR) is a key application for Large Language Models (LLMs), but progress is hampered by a "reality gap": existing benchmarks evaluate models on isolated sub-t…

cs.SE2025

Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models

Hanyang Guo, Xiaoheng Xie, Hong-Ning Dai +4

Automated Program Repair (APR) is essential for ensuring software reliability and quality while enhancing efficiency and reducing developers' workload. Although rule-based and lear…