4 citations · 9 across the 7 of their papers we have counts for
5 papers · 1 filter
Modeling human road crossing decisions as reward maximization with visual perception limitations
Yueyang Wang, Aravinda Ramakrishnan Srinivasan, Jussi P. P. Jokinen +2
Understanding the interaction between different road users is critical for road safety and automated vehicles (AVs). Existing mathematical models on this topic have been proposed b…
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
Ziheng Duan, Haoyan Xu, Yueyang Wang +5
With the advancement of sensing technology, multivariate time series classification (MTSC) has recently received considerable attention. Existing deep learning-based MTSC technique…
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting
Yueyang Wang, Ziheng Duan, Yida Huang +3
Multivariate time series forecasting, which analyzes historical time series to predict future trends, can effectively help decision-making. Complex relations among variables in MTS…
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation
Haoyan Xu, Ziheng Duan, Jie Feng +4
Graph similarity computation aims to predict a similarity score between one pair of graphs to facilitate downstream applications, such as finding the most similar chemical compound…
CoSimGNN: Towards Large-scale Graph Similarity Computation
Haoyan Xu, Runjian Chen, Yueyang Wang +2
The ability to compute similarity scores between graphs based on metrics such as Graph Edit Distance (GED) is important in many real-world applications. Computing exact GED values…