Room 504, W8E Ookayama Campus
Tokyo Institute of Technology
Meguro-ku, Tokyo, Japan
I am a PhD candidate at the School of Computing, Tokyo Institute of Technology. My research interests include machine learning for graphs and kernel methods. I am extremely fortunate to work with Dr. Takanori Maehara at the RIKEN Center for Advanced Intelligence Project since 2019 on graph embedding theory. Currently, I am a visiting researcher at the Functional Analytic Unit of RIKEN AIP, hosted by Dr. Ha Quang Minh.
Download my resume.
My research goal is to understand the limitation and prospect of graph-structured data learning by developing analysis tools from graphon theory and spectral graph theory. All information and opinion on this website is my own.
I enjoy long distance cycling in Japan.
- ICMLGraph Homomorphism ConvolutionIn 37th International Conference on Machine Learning 2020
- ICPRRevisiting Graph Neural Networks: Graph Filtering PerspectiveIn 25th International Conference on Pattern Recognition (ICPR) 2021
- arXivA Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks2019