YINGFAN WANG

180

135

202120222023202418 67 161 159

Public access

1 article

0 articles

available

not available

Based on funding mandates

Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityVerified email at cs.duke.edu
Haiyang HuangDuke UniversityVerified email at cs.duke.edu
Yaron ShaposhnikUniversity of RochesterVerified email at simon.rochester.edu
Edward P BrowneUniversity of North Carolina - Chapel HillVerified email at email.unc.edu

YINGFAN WANG

PhD Candidate of Computer Science, Duke University

Verified email at duke.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Understanding how dimension reduction tools work: an empirical approach to deciphering t-SNE, UMAP, TriMAP, and PaCMAP for data visualization Y Wang, H Huang, C Rudin, Y Shaposhnik Journal of Machine Learning Research 22 (201), 1-73, 2021	331	2021
Towards a comprehensive evaluation of dimension reduction methods for transcriptomic data visualization H Huang, Y Wang, C Rudin, EP Browne Communications biology 5 (1), 719, 2022	58	2022
Approximate group fairness for clustering B Li, L Li, A Sun, C Wang, Y Wang International conference on machine learning, 6381-6391, 2021	19	2021
Machine learning approaches identify immunologic signatures of total and intact HIV DNA during long-term antiretroviral therapy L Semenova, Y Wang, S Falcinelli, N Archin, AD Cooper-Volkheimer, ... bioRxiv, 2023.11. 16.567386, 2023	1	2023

The system can't perform the operation now. Try again later.

Articles 1–4

Citations per year