Ya-Wei Eileen Lin
5 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
๐
Conference Polyglot
(4)
๐
Interdisciplinary Bridge
๐บ๏ธ
Taxonomy Completionist
(11)
๐งญ
Keyword Pioneer
๐
Cross-Pollinator
(15)
Conferences
NIPS (2)
CVPR (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
graph embedding
(2)
manifold learning
(2)
universal approximation
(1)
procrustes analysis
(1)
hierarchical representation
(1)
riemannian geometry
(1)
equivariant learning
(1)
hyperbolic space
(1)
hierarchical datum
(1)
hyperbolic geometry
(1)
graph neural network
(1)
spectral filter
(1)
finsler manifold
(1)
asymmetric embedding
(1)
diffusion geometry
(1)
shift equivariance
(1)
multi-dimensional scaling
(1)
dimensionality reduction
(1)
batch correction
(1)
metric learning
(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
NIPS 2024
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
ICML 2023
Hyperbolic Procrustes Analysis Using Riemannian Geometry
NIPS 2021