Hiroaki Shiokawa

About

Hiroaki Shiokawa is a Professor at the Center for Computational Sciences, University of Tsukuba. His research interests include data engineering and database technologies, with a focus on developing query processing algorithms and efficient clustering methods for large-scale graphs. He leads the Knowledge and Data Engineering Laboratory's large-scale data processing group (KDE-SALT).

Education

• B.S. Information Science, University of Tsukuba, 2009
• M.E. Computer Science, University of Tsukuba, 2011
• Ph.D. Engineering, University of Tsukuba, 2015

Selected publications

• Scalable Graph Clustering and its Applications
• Efficient Clustering Algorithms for Large-scale Graphs
• Fast Similarity Search for Large Knowledge Graphs
• Graph-based Clustering at Scale
• Massive Graph Analysis at Scale
• Scaling Structural Graph Clustering for Billion-edge graphs
• SCAN++: Efficient Algorithm for Finding Clusters, Hubs and Outliers on Large-scale Graphs
• Fast Algorithm for Modularity-based Graph Clustering
• Efficient Mining Algorithms for Large-scale Graphs
• Personalized PageRank に対するアドホックな検索手法