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20242026
most citedHarnessing Large Language Model for Virtual Reality Exploration Testing: A Case Study

5 citations · 5 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

MSSSeg: Learning Multi-Scale Structural Complexity for Self-Supervised Segmentation

Haotang Li, Zhenyu Qi, Hao Qin +4

Self-supervised semantic segmentation methods often suffer from structural errors, including merging distinct objects or fragmenting coherent regions, because they rely primarily o…

cs.SE2025

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths

Huashan Chen, Zhenyu Qi, Haotang Li +7

Large Language Models (LLMs) are central to automated code generation, yet most approaches use one model at every stage, from writing code to repairing and optimizing it. LLMs have…

cs.CV2025

UWB-PostureGuard: A Privacy-Preserving RF Sensing System for Continuous Ergonomic Sitting Posture Monitoring

Haotang Li, Zhenyu Qi, Sen He +6

Improper sitting posture during prolonged computer use has become a significant public health concern. Traditional posture monitoring solutions face substantial barriers, including…

cs.CR2025

An Empirical Study on Virtual Reality Software Security Weaknesses

Yifan Xu, Jinfu Chen, Zhenyu Qi +5

Virtual Reality (VR) has emerged as a transformative technology across industries, yet its security weaknesses, including vulnerabilities, are underinvestigated. This study investi…

cs.SE2025★ 5 cited

Harnessing Large Language Model for Virtual Reality Exploration Testing: A Case Study

Zhenyu Qi, Haotang Li, Hao Qin +3

As the Virtual Reality (VR) industry expands, the need for automated GUI testing is growing rapidly. Large Language Models (LLMs), capable of retaining information long-term and an…