Ya-Wei Eileen Lin

Ya-Wei Eileen Lin

I am a PhD student in the Electrical and Computer Engineering Faculty at the Technion, supervised by Prof. Ronen Talmon.

My research interests are geometric learning, optimal transport, Riemannian geometry, and graph neural networks.

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Publications

	Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie NeurIPS, 2024
	Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon ICASSP, 2024
	Spatial Analysis Reveals Impaired Immune Cell Function within the Tumor Microenvironment of HIV-associated Non-small Cell Lung Cancer Shruti Desai, Syim Salahuddin, Ramsey Yusuf, Kishu Ranjan, Jianlei Gu, Ya-Wei Eileen Lin, Ronen Talmon, Yuval Kluger, Hongyu Zhao, Kurt Schalper, Brinda Emu medRxiv, 2023
	Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon ICML, 2023
	Hyperbolic Procrustes Analysis Using Riemannian Geometry Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon NeurIPS, 2021
	Graph of graphs analysis for multiplexed data with application to imaging mass cytometry Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt Schalper, Yuval Kluger PLoS computational biology, 2021

Divers

I'm a reviewer of ICLR, JMLR, ICML, ECCV, NeurIPS and AAAI.

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