activity
20182021
most citedMRNet: a Multi-scale Residual Network for EEG-based Sleep Staging

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2021★ 1 cited

Self-supervised Contrastive Learning for EEG-based Sleep Staging

Xue Jiang, Jianhui Zhao, Bo Du +1

EEG signals are usually simple to obtain but expensive to label. Although supervised learning has been widely used in the field of EEG signal analysis, its generalization performan…

cs.LG2021★ 1 cited

MRNet: a Multi-scale Residual Network for EEG-based Sleep Staging

Xue Jiang

Sleep staging based on electroencephalogram (EEG) plays an important role in the clinical diagnosis and treatment of sleep disorders. In order to emancipate human experts from heav…

cs.HC2019

Cascade LSTM Based Visual-Inertial Navigation for Magnetic Levitation Haptic Interaction

Qianqian Tong, Xiaosa Li, Kai Lin +1

Haptic feedback is essential to acquire immersive experience when interacting in virtual or augmented reality. Although the existing promising magnetic levitation (maglev) haptic s…

cs.GR2019

Periodic-corrected data driven coupling of blood flow and vessel wall for virtual surgery

Xuejie Mai, Zhiyong Yuan, Qianqian Tong +2

Fast and realistic coupling of blood flow and vessel wall is of great importance to virtual surgery. In this paper, we propose a novel data-driven coupling method that formulates p…

cs.NI2018

Label-less Learning for Traffic Control in an Edge Network

Min Chen, Yixue Hao, Kai Lin +2

With the development of intelligent applications (e.g., self-driving, real-time emotion recognition, etc), there are higher requirements for the cloud intelligence. However, cloud…