1 code implementation • 16 Jun 2020 • Yimin Hou, Shuyue Jia, Xiangmin Lun, Ziqian Hao, Yan Shi, Yang Li, Rui Zeng, Jinglei Lv
To conclude, the GCNs-Net filters EEG signals based on the functional topological relationship, which manages to decode relevant features for brain motor imagery.
1 code implementation • 25 Jun 2020 • Shuyue Jia, Yimin Hou, Yan Shi, Yang Li
In previous studies, decoding electroencephalography (EEG) signals has not considered the topological relationship of EEG electrodes.
1 code implementation • 21 Sep 2022 • Zhaopeng Feng, Keyang Zhang, Shuyue Jia, Baoliang Chen, Shiqi Wang
Deep learning based image quality assessment (IQA) models usually learn to predict image quality from a single dataset, leading the model to overfit specific scenes.
no code implementations • 2 May 2020 • Yimin Hou, Shuyue Jia, Xiangmin Lun, Shu Zhang, Tao Chen, Fang Wang, Jinglei Lv
The introduced deep feature mining approach can precisely recognize human motion intents from raw EEG signals, which paves the road to translate the EEG based MI recognition to practical BCI systems.
no code implementations • 7 Aug 2023 • Yang Li, Shitu Zhang, Yuanzheng Li, Jiting Cao, Shuyue Jia
Deep learning has emerged as an effective solution for addressing the challenges of short-term voltage stability assessment (STVSA) in power systems.