CORTEXA
← Browse

Guofeng Zhang

5 papers indexed

openalexFrontiers in Neurology2026-07-23

Observed changes in clinical proxy measures of airway protection after cervical epidural spinal cord stimulation in neurological disorders: a preliminary retrospective case series

Guofeng Zhang, Z L Li, Xiaoli Yao, Minghui Ding, Xuesong Liu

Objectives Although spinal cord stimulation (SCS) has been investigated for cough and respiratory motor output after neurological injury, its relationship with clinical proxy measures of airway protection remains unclear. We explored observed changes in aspects of airway protecti…

View free PDFSource page
arxivcs.CLcs.AI2026-07-21

MedDDC-Eval: Diagnosis-Decoupled Evaluation of Multi-Turn Medical Consultation Agents

Guofeng Zhang, Yizeng Quan, Huaiyi Fang, Jianwei Lv, Jinyao Liu, Xunxu Duan, et al.

Multi-turn medical consultation agents must decide what to ask, adapt to patient responses, and determine when the collected evidence is sufficient. However, coupled evaluation conflates the quality of the policy-elicited history with policy-specific terminal diagnosis generation…

View free PDFSource page
arxivcs.CVcs.RO2026-07-06

Beyond Isolated Objects: Relationship-aware Open Vocabulary Scene Understanding via 3D Scene Graph Analysis

Xianhao Chen, Jiarui Hu, Yuanbo Yang, Xiyu Zhang, Tengyue Wang, Hujun Bao, et al.

Open-vocabulary 3D scene understanding aims to segment 3D scenes beyond predefined categories by transferring semantic knowledge from vision-language models. Existing methods have advanced this task by lifting language-aligned 2D features into 3D, yet they often rely on context-i…

View free PDFSource page
arxivcs.CV2026-07-06

WildSplat: Feedforward Gaussian Splatting from Unposed In-the-Wild Images

Xiyu Zhang, Jingyu Zhuang, Hongjia Zhai, Zizheng Yan, Jinwei Chen, Guofeng Zhang, et al.

While feedforward 3D reconstruction excels at efficient novel view synthesis, it typically falters when faced with scenes under varying illumination. To this end, we introduce WildSplat, the first feedforward 3D Gaussian Splatting framework capable of appearance-conditioned novel…

View free PDFSource page
crossrefSensors2020-06-07Cited by 23

A Machine Learning Method for Vision-Based Unmanned Aerial Vehicle Systems to Understand Unknown Environments

Tianyao Zhang, Xiaoguang Hu, Jin Xiao, Guofeng Zhang

What makes unmanned aerial vehicles (UAVs) intelligent is their capability of sensing and understanding new unknown environments. Some studies utilize computer vision algorithms like Visual Simultaneous Localization and Mapping (VSLAM) and Visual Odometry (VO) to sense the enviro…

View free PDFSource page