2 citations · 2 across the 5 of their papers we have counts for
6 papers
GazeAgent: VLM-Guided Implicit Gaze Calibration from Egocentric Multimodal Behavior for AI Glasses
Yuhong Zhang, Khanh An Nguyen, Xinyu Tian +6
AI glasses typically require explicit, user-specific eye-tracker calibration, and accuracy can drift when the device shifts during use. We present GazeAgent, a VLM-guided framework…
Drift Calibration in Geometric Eye Tracking Systems
Jiaqi Liu, Zixuan Wang, Yuhong Zhang +4
Geometric eye trackers can provide the spatial accuracy required for gaze-based interaction and multimodal studies, but their measurements remain sensitive to residual session-spec…
IMU-Enhanced EEG Motion Artifact Removal with Fine-Tuned Large Brain Models
Yuhong Zhang, Xusheng Zhu, Yuchen Xu +4
Electroencephalography (EEG) is a non-invasive method for measuring brain activity with high temporal resolution; however, EEG signals often exhibit low signal-to-noise ratios beca…
Graph Representations for Reading Comprehension Analysis using Large Language Model and Eye-Tracking Biomarker
Yuhong Zhang, Jialu Li, Shilai Yang +3
Reading comprehension is a fundamental skill in human cognitive development. With the advancement of Large Language Models (LLMs), there is a growing need to compare how humans and…
From Word Embedding to Reading Embedding Using Large Language Model, EEG and Eye-tracking
Yuhong Zhang, Shilai Yang, Gert Cauwenberghs +1
Reading comprehension, a fundamental cognitive ability essential for knowledge acquisition, is a complex skill, with a notable number of learners lacking proficiency in this domain…
Integrating LLM, EEG, and Eye-Tracking Biomarker Analysis for Word-Level Neural State Classification in Semantic Inference Reading Comprehension
Yuhong Zhang, Qin Li, Sujal Nahata +4
With the recent proliferation of large language models (LLMs), such as Generative Pre-trained Transformers (GPT), there has been a significant shift in exploring human and machine…