I am a postdoctoral researcher at Technical University of Munich advised by Prof. Stefanie Jegelka and affiliated with the Munich Center for Machine Learning. Previously, I received my PhD in the Electrical and Computer Engineering Faculty at the Technion under the supervision of Prof. Ronen Talmon.
My research interests are geometric learning and graph machine learning.
Publications
Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
NeurIPS, 2025
Thomas Dagès*, Simon Weber*, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
CVPR, 2025
Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
ICLR, 2025
Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
NeurIPS, 2024
Elad Lavi, Amir Bourvine, Ya-Wei Eileen Lin, Ronen Talmon
ICASSP, 2025
Shruti S Desai, Syim Salahuddin, Ramsey Yusuf, Kishu Ranjan, Jianlei Gu, Lais Osmani, Ya-Wei Eileen Lin, Sameet Mehta, Ronan Talmon, Insoo Kang, Yuval Kluger, Hongyu Zhao, Kurt Schalper, Brinda Emu
The Journal of Clinical Investigation, 2025
Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon
ICASSP, 2024
Shruti Desai, Syim Salahuddin, Ramsey Yusuf, Kishu Ranjan, Jianlei Gu, Ya-Wei Eileen Lin, Ronan Talmon, Yuval Kluger, Hongyu Zhao, Kurt Schalper, Brinda Emu
medRxiv, 2023
Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
ICML, 2023
Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon
NeurIPS, 2021
Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt Schalper, Yuval Kluger
PLoS computational biology, 2021