5 citations · 5 across the 11 of their papers we have counts for
14 papers
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…
Agent Skill Evolution: How Revisions Affect Coding Agents
Jiajie Wang, Yutong Zhao, Tianlin Li +4
Agent Skills, the SKILL.md files that tell an LLM coding agent how a project works, are revised like code, yet what a revision does to the agent is unknown. From 2,608 first/last r…
ExploreAI: Agentic Exploration Knowledge Bases for Reproducible Observable-Regression Testing of Black-Box VR and 3D Applications
Jiajie Wang, Kebin Peng, Wei Wang +3
Black-box VR and 3D applications are difficult to regression test because observable failures depend on where a tester moves, what objects are visible, and which views are captured…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…