1 code implementation • 1 Jan 2024 • Libin Lan, Pengzhou Cai, Lu Jiang, Xiaojuan Liu, Yongmei Li, Yudong Zhang
Specifically, BRAU-Net++ uses bi-level routing attention as the core building block to design our u-shaped encoder-decoder structure, in which both encoder and decoder are hierarchically constructed, so as to learn global semantic information while reducing computational complexity.
no code implementations • 12 Jul 2022 • Chenguang Wan, Zhi Yu, Alessandro Pau, Xiaojuan Liu, Jiangang Li
Tokamaks allow to confine fusion plasma with magnetic fields and one of the main challenges in the control of the magnetic configuration is the prediction/reconstruction of the Last Closed-Flux Surface (LCFS).
no code implementations • 29 Sep 2021 • Jinbao Zhang, Changwang Zhang, Xiaojuan Liu, Xia Li, Weilin Liao, Penghua Liu, Yao Yao, Jihong Zhang
A general and robust POI embedding framework, the POI-Transformers, is initially proposed in this study to address these problems of POI entity matching.
no code implementations • 21 Jul 2020 • Chenguang Wan, Jiangang Li, Zhi Yu, Xiaojuan Liu
By using the data-driven methodology, we exploit the temporal sequence of control signals for a large set of EAST discharges to develop a deep learning model for modeling discharge diagnostic signals, such as electron density $n_{e}$, store energy $W_{mhd}$ and loop voltage $V_{loop}$.
1 code implementation • 27 Apr 2020 • Fangliang Bai, Jinchao Liu, Xiaojuan Liu, Margarita Osadchy, Chao Wang, Stuart J. Gibson
However, to date, there have been two major drawbacks: (1) the high-precision real-valued sensing patterns proposed in the majority of existing works can prove problematic when used with computational imaging hardware such as a digital micromirror sampling device and (2) the network structures for image reconstruction involve intensive computation, which is also not suitable for hardware deployment.