Ya-Wei Eileen Lin
5 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(11)
Venues
Top co-authors
Research topics
Keywords
graph embedding
(2)
diffusion geometry
(2)
manifold learning
(2)
metric learning
(2)
hierarchical representation
(1)
riemannian geometry
(1)
equivariant learning
(1)
hierarchical feature
(1)
hyperbolic embedding
(1)
hyperbolic space
(1)
hierarchical data
(1)
multidimensional scaling
(1)
hyperbolic geometry
(1)
graph neural network
(1)
spectral filter
(1)
finsler manifold
(1)
asymmetric embedding
(1)
shift equivariance
(1)
wasserstein distance
(1)
batch correction
(1)
Papers
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
CVPR 2025
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
ICLR 2025
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
NeurIPS 2024
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
ICML 2023
Hyperbolic Procrustes Analysis Using Riemannian Geometry
NeurIPS 2021