Lifang He

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks

2018

Meta-graph is currently the most powerful tool for similarity search on heterogeneous information networks, where a meta-graph is a composition of meta-paths that captures the complex structural information. However, current relevance computing based on meta-graph …

Federated Multi-view Learning for Private Medical Data Integration and Analysis

2022 · ACM Transactions on Intelligent Systems and Technology

Along with the rapid expansion of information technology and digitalization of health data, there is an increasing concern on maintaining data privacy while garnering the benefits in the medical field. Two critical challenges are identified: …

Outlier-Robust Multi-View Subspace Clustering with Prior Constraints

2021

Data may have multiple modalities, known as multi-view data. With the assumption that multi-view data often lie on a latent subspace, multi-view subspace clustering finds the underlying subspace by leveraging multiple views and clusters the …