no code implementations • 20 Feb 2024 • Guoqi Yu, Jing Zou, Xiaowei Hu, Angelica I. Aviles-Rivero, Jing Qin, Shujun Wang
Predicting multivariate time series is crucial, demanding precise modeling of intricate patterns, including inter-series dependencies and intra-series variations.
no code implementations • 14 Mar 2023 • Jing Zou, Noémie Debroux, Lihao Liu, Jing Qin, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero
We propose a novel framework for deformable image registration.
no code implementations • 23 Dec 2022 • Yongling Xu, Yang Du, Jing Zou, Tianying Zhou, Lushan Xiao, Li Liu, Pengcheng
In this paper, we propose a deep model called Attention-based Multiple Dimensions EEG Transformer (AMDET), which can exploit the complementarity among the spectral-spatial-temporal features of EEG data by employing the multi-dimensional global attention mechanism.