2 citations · 3 across the 8 of their papers we have counts for
10 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…
Teaching neural decoders with language
Xuan Wen, Yonghao Song, Yuhong Zhang +3
Brain-computer interfaces decode neural activity, yet class-label supervision (CLS) leaves relationships among classes implicit. We propose Language as Supervision (LaS), which ali…
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…
Leveraging a Foundation Model for the EEG-Based Diagnosis of Alzheimer's Disease
Maggie Lin, Chung-Lin Hou, Tzyy-Ping Jung
Biological heterogeneity in Alzheimer's Disease (AD) poses a critical diagnostic challenge, particularly for traditional linear methods that fail to capture non-linear neural dynam…
The Identity Trap in EEG Foundation Models: A Diagnostic Audit
Jun-You Lin, Ying Choon Wu, Tzyy-Ping Jung
Objective. EEG foundation models (FMs) report strong accuracy on clinical resting-state EEG. However, high accuracy under subject-disjoint cross-validation remains ambiguous: it ca…
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…
Online Mental Stress Detection Using Frontal-channel EEG Recordings in a Classroom Scenario
Chi-Yuan Chang, Chieh Hsu, Ying Choon Wu +3
Objective: To investigate the effects of different approaches to EEG preprocessing, channel montage selection, and model architecture on the performance of an online-capable stress…
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…