Ruoxi Yu — accepted AI-conference papers

2026

The Effect of Attention Head Count on Transformer Approximation

Penghao Yu, Haotian Jiang, Zeyu Bao, Ruoxi Yu, Qianxiao Li

ICLR 2026poster

Transformer has become the dominant architecture for sequence modeling, yet a detailed understanding of how its structural parameters influence expressive power remains limited. In this work, we study the approximation properties of transformers, with particular emphasis on the role of the number of…

Cited by 0 Source ↗Scholar ↗

2020

Modeling Electromagnetic Navigation Systems for Medical Applications using Random Forests and Artificial Neural Networks

Ruoxi Yu, Samuel L. Charreyron, Quentin Boehler, Cameron Weibel, Christophe Chautems, Carmen C. Y. Poon +1

ICRA 2020poster

Electromagnetic Navigation Systems (eMNS) can be used to control a variety of multiscale devices within the human body for remote surgery. Accurate modeling of the magnetic fields generated by the electromagnets of an eMNS is crucial for the precise control of these devices. Existing methods assume…

Cited by 16 Source ↗Scholar ↗