IEEE

Dual-Branch Convolution Network With Efficient Channel Attention for EEG-Based Motor Imagery Classification

Abstract: Brain-Computer Interface (BCI) is a revolutionary technique that employs wearable electroencephalography (EEG) sensors and artificial intelligence (AI) to monitor and decode brain activity.
IEEE

Bayesian Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction

Abstract: This study introduces a novel approach that integrates dynamic Bayesian network with attention based spatio-temporal graph convolutional network to forecast railway train delays, capturing ...
GitHub

ModernTCN (ICLR 2024 Spotlight)

Donghao Luo and Xue Wang. ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis. In International Conference on Learning Representations, 2024. [Our paper in OpenReview]. We ...
GitHub

ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions

The overall architecture of ViT-CoMer. ViT-CoMer is a two-branch architecture consisting of three components: (a) a plain ViT with L layers, which is evenly divided into N stages for feature ...