5 citations · 5 across the 1 of their papers we have counts for
5 papers
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals
Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun +1
Time series data is prevalent in a wide variety of real-world applications and it calls for trustworthy and explainable models for people to understand and fully trust decisions ma…
Node Injection Attacks on Graphs via Reinforcement Learning
Yiwei Sun, Suhang Wang, Xianfeng Tang +2
Real-world graph applications, such as advertisements and product recommendations make profits based on accurately classify the label of the nodes. However, in such scenarios, ther…
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh +2
Data from many real-world applications can be naturally represented by multi-view networks where the different views encode different types of relationships (e.g., friendship, shar…
Multi-View Network Embedding Via Graph Factorization Clustering and Co-Regularized Multi-View Agreement
Yiwei Sun, Ngot Bui, Tsung-Yu Hsieh +1
Real-world social networks and digital platforms are comprised of individuals (nodes) that are linked to other individuals or entities through multiple types of relationships (link…
Compositional Stochastic Average Gradient for Machine Learning and Related Applications
Tsung-Yu Hsieh, Yasser EL-Manzalawy, Yiwei Sun +1
Many machine learning, statistical inference, and portfolio optimization problems require minimization of a composition of expected value functions (CEVF). Of particular interest i…