We are focusing on developing machine learning algorithm for science including feature selection, topological data analysis, graph neural network, optimal transport and transfer learning.
We have two goals:
Our GraphLime paper has been accepted to IEEE TKDE! Congrats!15, June 2022
Our high-dimensional optimal transport paper has been accepted to ECML 2022. Congrats!19. January 2022
Three papers has been accepted to AISTATS 2022! Congrats Yuki, Ryoma, Benjamin, Peter, Hector, and Tam!29. September 2021
Two papers has been accepted to NeurIPS 2021! Congrats Tam and Hiroaki!25. July 2021
One paper about optimal transport has been accepted to ICCV 2021! Congrats Tam!19. June 2021
One paper about optimal transport has been accepted to ECML 2021! Congrats Yanbin, Hubert, and Tam!9. May 2021
Three papers have been accepted to ICML 2021! Congrats Yuki, Ryoma, Tobias, Hector, Benjamin, Tam!1. May 2021
Peter Naylor has joined our lab! Welcome!19. March 2021
Our paper about AML treatment has been published at Nature Cancer!