118 citations · 130 across the 3 of their papers we have counts for
4 papers
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
Enze Shi, Kui Zhao, Qilong Yuan +4
Electroencephalography (EEG) is a vital tool to measure and record brain activity in neuroscience and clinical applications, yet its potential is constrained by signal heterogeneit…
Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer
Yanqing Kang, Di Zhu, Haiyang Zhang +9
Studying influential nodes (I-nodes) in brain networks is of great significance in the field of brain imaging. Most existing studies consider brain connectivity hubs as I-nodes. Ho…
Review of Large Vision Models and Visual Prompt Engineering
Jiaqi Wang, Zhengliang Liu, Lin Zhao +18
Visual prompt engineering is a fundamental technology in the field of visual and image Artificial General Intelligence, serving as a key component for achieving zero-shot capabilit…
Prompt Engineering for Healthcare: Methodologies and Applications
Jiaqi Wang, Enze Shi, Sigang Yu +21
Prompt engineering is a critical technique in the field of natural language processing that involves designing and optimizing the prompts used to input information into models, aim…