23 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.LG2024
ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction
Yi Rong, Yingchi Mao, Yinqiu Liu +3
Traffic speed prediction is significant for intelligent navigation and congestion alleviation. However, making accurate predictions is challenging due to three factors: 1) traffic…
cs.CV2023
DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action Recognition
Chang Li, Qian Huang, Yingchi Mao
Graph Convolutional Networks (GCNs) have been widely used in skeleton-based human action recognition. In GCN-based methods, the spatio-temporal graph is fundamental for capturing m…
cs.LG2023★ 23 cited
Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction
Andri Pranolo, Yingchi Mao, Aji Prasetya Wibawa +2
Deep learning is a machine learning approach that produces excellent performance in various applications, including natural language processing, image identification, and forecasti…