2 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
Exploiting the Prior of Generative Time Series Imputation
YuYang Miao, Chang Li, Zehua Chen
Time series imputation, i.e., filling the missing values of a time recording, finds various applications in electricity, finance, and weather modelling. Previous methods have intro…
Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer
Zehua Chen, Yuyang Miao, Liyuan Wang +3
Cardiovascular signals such as photoplethysmography (PPG), electrocardiography (ECG), and blood pressure (BP) are inherently correlated and complementary, together reflecting the h…
GPINN: Physics-informed Neural Network with Graph Embedding
Yuyang Miao, Haolin Li
This work proposes a Physics-informed Neural Network framework with Graph Embedding (GPINN) to perform PINN in graph, i.e. topological space instead of traditional Euclidean space,…
Hyper-GST: Predict Metro Passenger Flow Incorporating GraphSAGE, Hypergraph, Social-meaningful Edge Weights and Temporal Exploitation
Yuyang Miao, Yao Xu, Danilo Mandic
Predicting metro passenger flow precisely is of great importance for dynamic traffic planning. Deep learning algorithms have been widely applied due to their robust performance in…