Scholar
Ya-Wei Eileen Lin
Google Scholar ID: Sfm1XPMAAAAJ
PhD at the Technion
Citations & Impact
Citations
62
H-index
4
i10-index
2
Publications
11
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- 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 Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets, ICASSP 2024
- Spatial Analysis Reveals Impaired Immune Cell Function within the Tumor Microenvironment of HIV-associated Non-small Cell Lung Cancer, medRxiv 2023
- Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning, ICML 2023
- Hyperbolic Procrustes Analysis Using Riemannian Geometry, NeurIPS 2021
- Graph of graphs analysis for multiplexed data with application to imaging mass cytometry, PLoS computational biology 2021
Research Experience
- Published papers in top international conferences such as CVPR, ICLR, NeurIPS, ICASSP, and participated in multiple research projects.
Education
- PhD student in the Electrical and Computer Engineering Faculty at Technion, supervised by Prof. Ronen Talmon.
Background
- PhD student in Electrical and Computer Engineering, with research interests in geometric learning, optimal transport, Riemannian geometry, and graph neural networks.
Miscellany
- Reviewer for ICLR, JMLR, ICML, CVPR, ECCV, NeurIPS, TMLR, AAAI, and AISTATS.
