6 citations · 15 across the 5 of their papers we have counts for
5 papers
A Lightweight Domain Adversarial Neural Network Based on Knowledge Distillation for EEG-based Cross-subject Emotion Recognition
Zhe Wang, Yongxiong Wang, Jiapeng Zhang +2
Individual differences of Electroencephalogram (EEG) could cause the domain shift which would significantly degrade the performance of cross-subject strategy. The domain adversaria…
STILN: A Novel Spatial-Temporal Information Learning Network for EEG-based Emotion Recognition
Yiheng Tang, Yongxiong Wang, Xiaoli Zhang +1
The spatial correlations and the temporal contexts are indispensable in Electroencephalogram (EEG)-based emotion recognition. However, the learning of complex spatial correlations…
Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition
Zhe Wang, Yongxiong Wang, Chuanfei Hu +2
Both the temporal dynamics and spatial correlations of Electroencephalogram (EEG), which contain discriminative emotion information, are essential for the emotion recognition. Howe…
Towards Trustworthy Multi-label Sewer Defect Classification via Evidential Deep Learning
Chenyang Zhao, Chuanfei Hu, Hang Shao +2
An automatic vision-based sewer inspection plays a key role of sewage system in a modern city. Recent advances focus on utilizing deep learning model to realize the sewer inspectio…
ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition
Chuanfei Hu, Hang Shao, Bo Dong +2
Representing the spatial properties of facial attributes is a vital challenge for facial attribute recognition (FAR). Recent advances have achieved the reliable performances for FA…