activity
20152022
most citedImproving local clustering based top-L link prediction methods via asymmetrical link clustering information

20 citations · 56 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV20221 cited

Light Field Raindrop Removal via 4D Re-sampling

Dong Jing, Shuo Zhang, Song Chang +1

The Light Field Raindrop Removal (LFRR) aims to restore the background areas obscured by raindrops in the Light Field (LF). Compared with single image, the LF provides more abundan…

eess.SP20214 cited

SleepPriorCL: Contrastive Representation Learning with Prior Knowledge-based Positive Mining and Adaptive Temperature for Sleep Staging

Hongjun Zhang, Jing Wang, Qinfeng Xiao +2

The objective of this paper is to learn semantic representations for sleep stage classification from raw physiological time series. Although supervised methods have gained remarkab…

eess.SP2021

Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification

Ziyu Jia, Youfang Lin, Jing Wang +5

Sleep stage classification is essential for sleep assessment and disease diagnosis. Although previous attempts to classify sleep stages have achieved high classification performanc…

cs.LG202115 cited

HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition

Ziyu Jia, Youfang Lin, Jing Wang +3

The research on human emotion under multimedia stimulation based on physiological signals is an emerging field, and important progress has been achieved for emotion recognition bas…

cs.LG202113 cited

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

Ziyu Jia, Youfang Lin, Jing Wang +3

Sleep staging is fundamental for sleep assessment and disease diagnosis. Although previous attempts to classify sleep stages have achieved high classification performance, several…

eess.IV20202 cited

Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic Filters

Qingyan Sun, Shuo Zhang, Song Chang +2

Light field cameras have been proved to be powerful tools for 3D reconstruction and virtual reality applications. However, the limited resolution of light field images brings a lot…