5 citations · 5 across the 9 of their papers we have counts for
11 papers
Merged, Not Measured: An Empirical Study of Performance Issues Fixed by Coding Agents
Zhenyu Qi, Haotang Li, Jinfu Chen +6
Coding agents open pull requests (PRs) that claim to speed up software, but studies of human performance fixes say little about how maintainers respond to such a fix or whether its…
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…
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…
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…
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…
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…
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…