Search Results for author: Shuyue Jia

Found 5 papers, 3 papers with code

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

1 code implementation16 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.

Brain Computer Interface EEG +1

Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals

1 code implementation25 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.

EEG Electroencephalogram (EEG) +2

Learning from Mixed Datasets: A Monotonic Image Quality Assessment Model

1 code implementation21 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.

Image Quality Assessment

Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition

no code implementations2 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.

Brain Computer Interface EEG +1

PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning

no code implementations7 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.

Data Augmentation Transfer Learning

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