Jie Huang

Improving atomic force microscopy structure discovery via style-translation

Jie Huang, Niko Oinonen, Fabio Priante, Filippo Federici Canova, Lauri Kurki, Chen Xu, et al.

Abstract Atomic force microscopy (AFM) is a key tool for characterising nanoscale structures, with functionalised tips now offering detailed images of the atomic structure. In parallel, AFM simulations using the probe particle model provide a cost-effective approach for rapid AFM…Read more

One-Shot Federated Learning With Lightweight Intermediate Models in Wireless Sensor Network Setting

Yexin Dou, Haijiang Wang, Jian Wan, Lei Zhang, Jie Huang, Yi Liu

X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models

Jie Huang, Pengfei Yin, Zihan Xu, Daniel Capurro, Mike Conway, Ting Dang

Foundation Models for Electronic Health Records (FEMRs) are pretrained on large-scale structured patient data, enabling them to convert longitudinal patient trajectories into generalizable representations for diverse clinical prediction tasks. Despite their effectiveness, FEMRs r…Read more