1 citations · 2 across the 5 of their papers we have counts for
5 papers
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
Yiming Wang, Hao Peng, Senzhang Wang +4
Traffic data imputation is fundamentally important to support various applications in intelligent transportation systems such as traffic flow prediction. However, existing time-to-…
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection
Jiaqian Ren, Hao Peng, Lei Jiang +4
Real-world social events typically exhibit a severe class-imbalance distribution, which makes the trained detection model encounter a serious generalization challenge. Most studies…
Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning
Yufei Liu, Jie Cao, Dechang Pi
Social influence prediction has permeated many domains, including marketing, behavior prediction, recommendation systems, and more. However, traditional methods of predicting socia…
Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification
Chenglong Dai, Jia Wu, Dechang Pi +1
Brain Electroencephalography (EEG) classification is widely applied to analyze cerebral diseases in recent years. Unfortunately, invalid/noisy EEGs degrade the diagnosis performanc…
Time-Variant Graph Classification
Haishuai Wang
Graphs are commonly used to represent objects, such as images and text, for pattern classification. In a dynamic world, an object may continuously evolve over time, and so does the…