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

5 citations · 5 across the 11 of their papers we have counts for

collaborators

13 papers

cs.SE2026

CARET: Training-Free Test-Time Scaling for Repository-Level Code Completion

Jiajie Wang, Yutong Zhao, Kebin Peng +3

Retrieval-augmented generation (RAG) dominates repository-level code completion: it retrieves cross-file context (R), then decodes one greedy completion (G). Existing work mainly f…

cs.CV2026

GeoCache: Training-Free Acceleration of Multi-View Texture Diffusion via Geometric Delta Transport

Haotang Li, Zhenyu Qi, Shaohan Henry Wang +6

Geometry-conditioned multi-view diffusion enables high-quality 3D texture generation, but its repeated per-view denoiser evaluations introduce substantial computational cost. Exist…

cs.CR2026

Still Camouflage, Moving Illusion: View-Induced Trajectory Manipulation in Autonomous Driving

Shuo Ju, Qingzhao Zhang, Huashan Chen +6

Existing physical adversarial attacks on vision-based autonomous driving induce time-evolving perception errors, including biased object tracking or trajectory prediction, through…

physics.med-ph2026

UWB-Fat: Non-Intrusive Body Fat Measurement Using Commodity Ultra-Wideband Radar

Haotang Li, Yili Ren, Zhenyu Qi +6

Body fat percentage and its spatial distribution are clinically important health indicators. However, existing measurement methods often impose a tradeoff between accuracy and acce…

cs.CV2026

PrePARE: Pre-AA Token Pruning for Frozen Multi-View Geometry Transformers

Haotang Li, Zhenyu Qi, Shaohan Henry Wang +5

Multi-view geometry transformers are feed-forward 3D foundation models that jointly predict depth maps, point maps, and camera poses for N images in a single forward pass. Most of…

cs.SE2026

Isolating Recurring Backend-Dependent Abnormal Patterns on NISQ Quantum Devices

Zhenyu Qi, Haotang Li, Mominul Islam +3

Quantum hardware remains highly susceptible to noise, making compilation a critical step for obtaining reliable execution on existing devices. Today's quantum compilers approximate…

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.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.CV2025

DynamicLip: Shape-Independent Continuous Authentication via Lip Articulator Dynamics

Huashan Chen, Yifan Xu, Yue Feng +6

Biometrics authentication has become increasingly popular due to its security and convenience; however, traditional biometrics are becoming less desirable in scenarios such as new…

cs.SE2025

Unveiling Code Clone Patterns in Open Source VR Software: An Empirical Study

Huashan Chen, Zisheng Huang, Yifan Xu +6

Code cloning is frequently observed in software development, often leading to a variety of maintenance and security issues. While substantial research has been conducted on code cl…

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…

cs.CV2024

PhysDepth: Plug-and-Play Physical Refinement for Monocular Depth Estimation in Challenging Environments

Kebin Peng, Haotang Li, Zhenyu Qi +6

State-of-the-art monocular depth estimation (MDE) models often struggle in challenging environments, primarily because they overlook robust physical information. To demonstrate thi…