Ya-Wei Eileen Lin

Orcid: 0000-0002-4592-0244

According to our database1, Ya-Wei Eileen Lin authored at least 6 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy.
CoRR, 2024

Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters.
CoRR, 2024

Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning.
Proceedings of the International Conference on Machine Learning, 2023

2021
Graph of graphs analysis for multiplexed data with application to imaging mass cytometry.
PLoS Comput. Biol., 2021

Hyperbolic Procrustes Analysis Using Riemannian Geometry.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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